Maya B. Mathur

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 2%percentile

2.7Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Patterns of tobacco use in low and middle income countries by tobacco product and sociodemographic characteristics: nationally representative survey data from 82 countries

BMJ(2022)10.1136/bmj-2021-067582

Top 8%

2.7DataRank

Top 8%88 citations

Julia M. Lemp, Volker Winkler, Jennifer Manne‐Goehler, Maja E. Marcus, Charlotte Probst +20 more

Papers

Driven by 55 papers — median percentile 92. Top paper: “Whole-Exome Sequencing Reveals TopBP1 as a Novel Gene in Idiopathic Pulmonary Arterial Hypertension”.

Whole-Exome Sequencing Reveals TopBP1 as a Novel Gene in Idiopathic Pulmonary Arterial Hypertension

American Journal of Respiratory and Critical Care Medicine(2014)10.1164/rccm.201310-1749oc

N/A

3.1DataRank · unranked

77 citations

Ke Yuan, Maria A. Lyuksyutova, Mark E. Orcholski, Eric M. Shuffle, Luke Yancy +16 more

Patterns of tobacco use in low and middle income countries by tobacco product and sociodemographic characteristics: nationally representative survey data from 82 countries

BMJ(2022)10.1136/bmj-2021-067582

Top 8%

2.7DataRank

Top 8%88 citations

Julia M. Lemp, Volker Winkler, Jennifer Manne‐Goehler, Maja E. Marcus, Charlotte Probst +20 more

Investigating the replicability of preclinical cancer biology

eLife(2021)10.7554/elife.71601

N/A

0.884DataRank · unranked

361 citations

Maya B. Mathur, Courtney K. Soderberg, Alexandria Denis, Nicole Perfito, Elizabeth Iorns +2 more

Commentary: Developing best-practice guidelines for the reporting of E-values

International Journal of Epidemiology(2020)10.1093/ije/dyaa094

N/A

0.706DataRank · unranked

110 citations

Maya B. Mathur, Tyler J. VanderWeele

International REACH forgiveness intervention: a multisite randomised controlled trial

BMJ Public Health(2024)10.1136/bmjph-2023-000072

N/A

0.628DataRank · unranked

25 citations

Everett L. Worthington, Richard G. Cowden, Andrea Ortega Bechara, Zhuo Job Chen, Elly Yuliandari Gunatirin +13 more

Eleven years of student replication projects provide evidence on the correlates of replicability in psychology

Royal Society Open Science(2023)10.1098/rsos.231240

N/A

0.431DataRank · unranked

8 citations

Maya B. Mathur, Michael C. Frank, Veronica Boyce

Robust metrics and sensitivity analyses for meta-analyses of heterogeneous effects

OSF Preprints (OSF Preprints)(2020)10.31219/osf.io/r2s78

N/A

0.406DataRank · unranked

14 citations

Tyler J. VanderWeele, Maya B. Mathur

P‐hacking in meta‐analyses: A formalization and new meta‐analytic methods

Research Synthesis Methods(2024)10.1002/jrsm.1701

N/A

0.373DataRank · unranked

11 citations

Maya B. Mathur

Meaningfully reducing consumption of meat and animal products is an unsolved problem: A meta-analysis

Appetite(2025)10.1016/j.appet.2025.108233

N/A

0.360DataRank · unranked

10 citations

Benny Smith, Maya B. Mathur, Seth Ariel Green

Many Labs 5: Registered Multisite Replication of the Tempting-Fate Effects in Risen and Gilovich (2008)

Advances in Methods and Practices in Psychological Science(2020)10.1177/2515245918785165

N/A

0.293DataRank · unranked

4 citations

Diane-Jo Bart-Plange, Balazs Aczel, Michael H. Bernstein, Antonia M. Ciunci, Charles R. Ebersole +36 more

Meta-Regression Methods to Characterize Evidence Strength Using Meaningful-Effect Percentages Conditional on Study Characteristics

RePEc: Research Papers in Economics(2020)10.31219/osf.io/bmtdq

N/A

0.292DataRank · unranked

6 citations

Tyler J. VanderWeele, Maya B. Mathur

Primary Care Physicians’ Perceptions of the Effects of Being Overweight on All-cause Mortality

Epidemiology(2023)10.1097/ede.0000000000001590

N/A

0.165DataRank · unranked

2 citations

Vandana Mathur, Maya B. Mathur

On the Statistical Analysis of Experiments With Manipulation Checks

Advances in Methods and Practices in Psychological Science(2025)10.1177/25152459241297537

N/A

0.104DataRank · unranked

1 citations

Maya B. Mathur

How to report E-values for meta-analyses: Recommended improvements and additions to the new GRADE approach

OSF Preprints (OSF Preprints)(2021)10.31219/osf.io/xb25k

N/A

0.104DataRank · unranked

1 citations

Tyler J. VanderWeele, Maya B. Mathur

Effect Measure Modification by Covariates in Mediation: Extending Regression-Based Causal Mediation Analysis

RePEc: Research Papers in Economics(2022)10.31219/osf.io/3gf64

N/A

0DataRank · unranked

1 citations

Maya B. Mathur, Daniel H. Solomon, Paul M. Ridker, Robert J. Glynn, Kazuki Yoshida +1 more

Sensitivity analysis for the interactive effects of internal bias and publication bias in meta-analyses

RePEc: Research Papers in Economics(2022)10.31219/osf.io/u7vcb

N/A

0DataRank · unranked

1 citations

Maya B. Mathur

Variation across analysts in statistical significance, yet consistently small effect sizes

OSF Preprints (OSF Preprints)(2022)10.31219/osf.io/8s24n

N/A

0DataRank · unranked

1 citations

Christian Covington, Tyler J. VanderWeele, Maya B. Mathur

Primary care physicians’ perceptions of the effects of being overweight on all-cause mortality

OSF Preprints (OSF Preprints)(2022)10.31219/osf.io/q8bvn

N/A

0DataRank · unranked

1 citations

Vandana Mathur, Maya B. Mathur

A brief primer on conducting regression-based causal mediation analysis.

Psychological Trauma Theory Research Practice and Policy(2023)10.1037/tra0001421

N/A

0DataRank · unranked

57 citations

Kazuki Yoshida, Jay S. Kaufman, Maya B. Mathur, Yi Li

Toward Open and Reproducible Epidemiology

American Journal of Epidemiology(2023)10.1093/aje/kwad007

N/A

0DataRank · unranked

39 citations

Matthew P. Fox, Maya B. Mathur

Sensitivity analysis for the interactive effects of internal bias and publication bias in meta‐analyses

Research Synthesis Methods(2023)10.1002/jrsm.1667

N/A

0DataRank · unranked

12 citations

Maya B. Mathur

Variation across analysts in statistical significance, yet consistently small effect sizes

Proceedings of the National Academy of Sciences(2023)10.1073/pnas.2218957120

N/A

0DataRank · unranked

12 citations

Christian Covington, Tyler J. VanderWeele, Maya B. Mathur

Marital transitions during earlier adulthood and subsequent health and well-being in mid- to late-life among female nurses: An outcome-wide analysis

Global Epidemiology(2023)10.1016/j.gloepi.2023.100099

N/A

0DataRank · unranked

13 citations

Maya B. Mathur, Brendan W. Case, Tyler J. VanderWeele, Ying Chen

A Specific Carbohydrate Diet Virtual Teaching Kitchen Curriculum Promotes Knowledge and Confidence in Caregivers of Pediatric Patients with Inflammatory Bowel Disease

Nutrients(2023)10.3390/nu15183999

N/A

0DataRank · unranked

7 citations

Kaylie Nguyen, Venus Kalami, Feifei Qin, Maya B. Mathur, Rebecca Blankenburg +2 more

A Social Media–Based Public Health Campaign to Reduce Indoor Tanning in High-Risk Populations

AJPM Focus(2023)10.1016/j.focus.2023.100123

N/A

0DataRank · unranked

6 citations

Zhuo Ran Cai, Vanessa Nava, Natnaelle Admassu, Stephanie Bousheri, Tiffani J. Johnson +8 more

New metrics for multiple testing with correlated outcomes

Frontiers in Applied Mathematics and Statistics(2023)10.3389/fams.2023.1151314

N/A

0DataRank · unranked

2 citations

Tyler J. VanderWeele, Maya B. Mathur

International REACH Forgiveness Intervention: A Multi-Site Randomized Controlled Trial

OSF Preprints (OSF Preprints)(2023)10.31219/osf.io/8qzgw

N/A

0DataRank · unranked

5 citations

Everett L. Worthington, Richard G. Cowden, Andrea Ortega Bechara, Zhuo Job Chen, Elly Yuliandari Gunatirin +13 more

Evidence for infant-directed speech preference is consistent across large-scale, multi-site replication and meta-analysis

HAL (Le Centre pour la Communication Scientifique Directe)(2023)10.31234/osf.io/etqs7

N/A

0DataRank · unranked

2 citations

Christopher Martin Mikkelsen Cox, Christina Bergmann, Angeline Tsui, Mélanie Söderström, Julien Mayor +10 more

Assessing robustness to worst case publication bias using a simple subset meta-analysis

BMJ(2024)10.1136/bmj-2023-076851

N/A

0DataRank · unranked

21 citations

Maya B. Mathur

Simple graphical rules for assessing selection bias in general-population and selected-sample treatment effects

American Journal of Epidemiology(2024)10.1093/aje/kwae145

N/A

0DataRank · unranked

21 citations

Ilya Shpitser, Maya B. Mathur

Considering pregnancies as repeated vs independent events: an empirical comparison of common approaches across selected perinatal outcomes

American Journal of Obstetrics & Gynecology MFM(2024)10.1016/j.ajogmf.2024.101434

N/A

0DataRank · unranked

4 citations

Suzan L. Carmichael, Maya B. Mathur, Julia F. Simard, Shalmali Bane

Increased Emergency Department Identification of Young People Experiencing Trafficking During the COVID-19 Pandemic: An Interrupted Time-Series Analysis

Public Health Reports(2024)10.1177/00333549241279662

N/A

0DataRank · unranked

2 citations

Yaowei Deng, Andrea Fang, Victoria Ward, Ewen Wang, Jennifer A. Newberry +3 more

Mathur and Shpitser respond to “The evolution of selection bias in the recent epidemiologic literature—a selective overview”

American Journal of Epidemiology(2024)10.1093/aje/kwae287

N/A

0DataRank · unranked

1 citations

Ilya Shpitser, Maya B. Mathur

Toward evidence-based communication on overweight body mass index and mortality

BMC Medicine(2024)10.1186/s12916-024-03402-2

N/A

0DataRank · unranked

1 citations

Vandana Mathur, Maya B. Mathur

Beyond guilty by association at scale: searching for causal variants on the basis of genome-wide summary statistics

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.28.582621

N/A

0DataRank · unranked

5 citations

Benjamin B. Chu, James Yang, Jiaqi Gu, Zhaomeng Chen, Linxi Liu +12 more

Documentary films can increase nationwide interest in plant-based food

RePEc: Research Papers in Economics(2024)10.31219/osf.io/yh94d

N/A

0DataRank · unranked

0 citations

J. Hope, Maya B. Mathur, anna thomas

Resurrecting complete-case analysis: a defense

American Journal of Epidemiology(2025)10.1093/aje/kwaf284

N/A

0DataRank · unranked

6 citations

Ilya Shpitser, Tyler J. VanderWeele, Maya B. Mathur

Observational research in epidemic settings: a roadmap to reform

BMJ Global Health(2025)10.1136/bmjgh-2024-017981

N/A

0DataRank · unranked

12 citations

Fausto Andres Bustos Carrillo, Samuel Angelli-Nichols, John Barugahare, Adia Benton, Colin J. Carlson +17 more

On the Statistical Analysis of Studies With Attention Checks

Advances in Methods and Practices in Psychological Science(2025)10.1177/25152459251338041

N/A

0DataRank · unranked

6 citations

Maya B. Mathur

Using directed acyclic graphs to determine whether multiple imputation or subsample-multiple imputation estimates of an exposure-outcome association are unbiased

American Journal of Epidemiology(2025)10.1093/aje/kwaf265

N/A

0DataRank · unranked

1 citations

Rachael A. Hughes, Maya B. Mathur, Jon Heron, Kate Tilling, Paul Madley‐Dowd

Pitfalls of imputing using incomplete auxiliary variables

American Journal of Epidemiology(2025)10.1093/aje/kwaf043

N/A

0DataRank · unranked

0 citations

Ilya Shpitser, Maya B. Mathur

Code Sharing in Healthcare Research: A Practical Guide and Recommendations for Good Practice

arXiv (Cornell University)(2025)10.48550/arxiv.2510.19279

N/A

0DataRank · unranked

0 citations

M.J. Parkes, Andrew M. Stewart, Anthony J. Wilson, Gary S. Collins, Richard D Riley +6 more

Sensitivity Analysis for Publication Bias in Meta-Analyses

Journal of the Royal Statistical Society Series C (Applied Statistics)(2020)10.1111/rssc.12440

N/A

0DataRank · unranked

357 citations

Tyler J. VanderWeele, Maya B. Mathur

Outcome-Wide Longitudinal Designs for Causal Inference: A New Template for Empirical Studies

Statistical Science(2020)10.1214/19-sts728

N/A

0DataRank · unranked

303 citations

Maya B. Mathur, Ying Chen, Tyler J. VanderWeele

Estimating publication bias in meta‐analyses of peer‐reviewed studies: A meta‐meta‐analysis across disciplines and journal tiers

Research Synthesis Methods(2020)10.1002/jrsm.1464

N/A

0DataRank · unranked

76 citations

Tyler J. VanderWeele, Maya B. Mathur

Infant Allergy Testing and Food Allergy Diagnoses Before and After Guidelines for Early Peanut Introduction

The Journal of Allergy and Clinical Immunology In Practice(2020)10.1016/j.jaip.2020.10.060

N/A

0DataRank · unranked

15 citations

Natasha Purington, Sean McGhee, Maya B. Mathur, Gary M. Shaw, Alan R. Schroeder +1 more

Meta‐regression methods to characterize evidence strength using meaningful‐effect percentages conditional on study characteristics

Research Synthesis Methods(2021)10.1002/jrsm.1504

N/A

0DataRank · unranked

21 citations

Tyler J. VanderWeele, Maya B. Mathur

Methods to address confounding and other biases in meta-analyses: Review and recommendations

RePEc: Research Papers in Economics(2021)10.31219/osf.io/v7dtq

N/A

0DataRank · unranked

16 citations

Tyler J. VanderWeele, Maya B. Mathur

Using Selection Models to Assess Sensitivity to Publication Bias: A Tutorial and Call for More Routine Use

RePEc: Research Papers in Economics(2021)10.31222/osf.io/tp45u

N/A

0DataRank · unranked

10 citations

Tyler J. VanderWeele, Maya B. Mathur, Maximilian Maier

Using selection models to assess sensitivity to publication bias: A tutorial and call for more routine use

Campbell Systematic Reviews(2022)10.1002/cl2.1256

N/A

0DataRank · unranked

53 citations

Tyler J. VanderWeele, Maya B. Mathur, Maximilian Maier

The M-Value: A Simple Sensitivity Analysis for Bias Due to Missing Data in Treatment Effect Estimates

American Journal of Epidemiology(2022)10.1093/aje/kwac207

N/A

0DataRank · unranked

23 citations

Maya B. Mathur

E-values for effect heterogeneity and approximations for causal interaction

International Journal of Epidemiology(2022)10.1093/ije/dyac073

N/A

0DataRank · unranked

20 citations

Louisa H. Smith, Kazuki Yoshida, Peng Ding, Tyler J. VanderWeele, Maya B. Mathur

Assessing Uncontrolled Confounding in Associations of Being Overweight With All-Cause Mortality

JAMA Network Open(2022)10.1001/jamanetworkopen.2022.2614

N/A

0DataRank · unranked

12 citations

Tyler J. VanderWeele, Maya B. Mathur

A Brief Primer on Conducting Regression-Based Causal Mediation Analysis

OSF Preprints (OSF Preprints)(2022)10.31219/osf.io/jath7

N/A

0DataRank · unranked

5 citations

Kazuki Yoshida, Jay S. Kaufman, Maya B. Mathur, Yi Li

Commentary: Quantifying the impact of bias to inform quality assessments in systematic reviews: The case of perchloroethylene and Non-Hodgkin's lymphoma

Global Epidemiology(2022)10.1016/j.gloepi.2022.100090

N/A

0DataRank · unranked

2 citations

Maya B. Mathur, Ellicott C. Matthay, Matthew P. Fox

Maya B. Mathur

Indexed papers

Top data-sharing exemplar

Papers