Sisi Ma

NeuroscienceBiochemistry, Genetics and Molecular BiologyPsychology

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 3%percentile

1.4Author DataRank

Indexed papers

2in 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 2 indexed papers 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.

Causal structure discovery identifies risk factors and early brain markers related to evolution of white matter hyperintensities

NeuroImage Clinical(2022)10.1016/j.nicl.2022.103077

Top 26%

0.763DataRank

Top 26%23 citations

Sheelakumari Raghavan, Scott A. Przybelski, Timothy G. Lesnick, Sisi Ma, Robert I. Reid +8 more

Papers

Driven by 23 papers — median percentile 72. Top paper: “Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology”.

Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology

Scientific Reports(2020)10.1038/s41598-020-59669-x

N/A

4.4DataRank · unranked

136 citations

Sisi Ma, Prashanthi Vemuri, György Simon, the Alzheimer’s Disease Neuroimaging Initiative, Michael W. Weiner +95 more

Causal structure discovery identifies risk factors and early brain markers related to evolution of white matter hyperintensities

NeuroImage Clinical(2022)10.1016/j.nicl.2022.103077

Top 26%

0.763DataRank

Top 26%23 citations

Sheelakumari Raghavan, Scott A. Przybelski, Timothy G. Lesnick, Sisi Ma, Robert I. Reid +8 more

The resting-state causal human connectome is characterized by hub connectivity of executive and attentional networks

NeuroImage(2022)10.1016/j.neuroimage.2022.119211

Top 29%

0.680DataRank

Top 29%23 citations

Erich Kummerfeld, Bryon A. Mueller, Sisi Ma, Anna Zilverstand, Eric Rawls

Explainable machine learning analysis reveals sex and gender differences in the phenotypic and neurobiological markers of Cannabis Use Disorder

Scientific Reports(2022)10.1038/s41598-022-19804-2

N/A

0.464DataRank · unranked

21 citations

Eric Rawls, Sisi Ma, Erich Kummerfeld, Andrea M. Maxwell, Leyla R. Brucar +3 more

A novel method for causal structure discovery from EHR data and its application to type-2 diabetes mellitus

Scientific Reports(2021)10.1038/s41598-021-99990-7

N/A

0.464DataRank · unranked

21 citations

Sisi Ma, Prashanthi Vemuri, M. Regina Castro, Pedro J. Caraballo, György Simon +1 more

Trajectories and predictors of response to social cognition training in people with schizophrenia: A proof-of-concept machine learning study

Schizophrenia Research(2024)10.1016/j.schres.2024.02.027

N/A

0.292DataRank · unranked

6 citations

Michael V. Bronstein, Sisi Ma, Hyunkyu Lee, Michael F. Green, Joseph Ventura +4 more

Development and Validation of an Electronic Health Record–Based Risk Assessment Tool for Hypoglycemia in Patients With Type 2 Diabetes Mellitus

Journal of Diabetes Science and Technology(2023)10.1177/19322968231184497

N/A

0.269DataRank · unranked

5 citations

Alison Alvear, Pamela J. Schreiner, Elizabeth R. Seaquist, Thomas Kirsh, Lisa S. Chow +1 more

A novel method for Causal Structure Discovery from EHR data: A demonstration on type-2 diabetes mellitus

Research Square(2021)10.21203/rs.3.rs-486814/v1

N/A

0.104DataRank · unranked

1 citations

Sisi Ma, Prashanthi Vemuri, M. Regina Castro, Pedro J. Caraballo, György Simon +1 more

Multiple predictively equivalent risk models for handling missing data at time of prediction: With an application in severe hypoglycemia risk prediction for type 2 diabetes

Journal of Biomedical Informatics(2020)10.1016/j.jbi.2020.103379

N/A

0DataRank · unranked

19 citations

Pamela J. Schreiner, Elizabeth R. Seaquist, Mehmet Ugurbil, Rachel Zmora, Lisa S. Chow +1 more

Causal discovery replicates symptomatic and functional interrelations of posttraumatic stress across five patient populations

Frontiers in Psychiatry(2023)10.3389/fpsyt.2023.1018111

N/A

0DataRank · unranked

4 citations

Thomas Kirsh, Adam R. Ferguson, Thomas C. Neylan, Sisi Ma, Erich Kummerfeld +3 more

Causal discovery replicates symptomatic and functional interrelations of posttraumatic stress across five patient populations

Frontiers in Psychiatry(2023)10.3389/fpsyt.2022.1018111

N/A

0DataRank · unranked

2 citations

Thomas Kirsh, Adam R. Ferguson, Thomas C. Neylan, Sisi Ma, Erich Kummerfeld +3 more

Comparing Causal Bayesian Networks Estimated from Data

Entropy(2024)10.3390/e26030228

N/A

0DataRank · unranked

0 citations

Roshan Tourani, Sisi Ma

Integrating causal discovery and clinically-relevant insights to explore directional relationships between autistic features, sex at birth, and cognitive abilities

Psychological Medicine(2025)10.1017/s0033291725000571

N/A

0DataRank · unranked

4 citations

Sunday M. Francis, Eric Rawls, Christine A. Conelea, Nicola M. Grissom, Erich Kummerfeld +3 more

Sex-specific skeletal muscle gene expression responses to exercise reveal novel direct mediators of insulin sensitivity change

NAR Molecular Medicine(2025)10.1093/narmme/ugaf010

N/A

0DataRank · unranked

1 citations

Monica J. Hubal, Matthew Morris, Leanna M. Ross, Kim M. Huffman, Christopher G. Vann +15 more

Causal Discovery Analysis Reveals Insights into Psychosis Proneness, Brain Function, and Environmental Factors among Young Individuals

Psychiatry Research Neuroimaging(2025)10.1016/j.pscychresns.2025.112015

N/A

0DataRank · unranked

1 citations

Sisi Ma, Erich Kummerfeld, Eric Rawls, Hao Yang Tan, Timothea Toulopoulou +1 more

Electronic Health Record-Based Prediction Model to Predict Primary Aldosteronism Risk in People With Hypertension

Endocrine Practice(2025)10.1016/j.eprac.2025.12.004

N/A

0DataRank · unranked

0 citations

Jacob Kohlenberg, Meng Xu, Sisi Ma, Kidmealem Zekarias

PAX8 orchestrates an angiogenic program through interaction with SOX17

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.09.290387

N/A

0DataRank · unranked

9 citations

Marilyn A. Mitchell, Cristina Arruza, Priyanka Rawat, Simone Sidoli, Robbin Nameki +11 more

Using explainable machine learning to elucidate social and neurobehavioral risk factors linked to nonmedicinal opioid use in young adults

Scientific Reports(2025)10.1038/s41598-025-32704-5

N/A

0DataRank · unranked

0 citations

Gregory Niklason, Sisi Ma, Anna Zilverstand, Andrea M. Maxwell

Causal discovery identifies posttraumatic stress as a driver of internalizing symptoms across independent veteran and civilian populations

medRxiv(2020)10.1101/2020.10.19.20186981

N/A

0DataRank · unranked

1 citations

Thomas Kirsh, Adam R. Ferguson, Thomas C. Neylan, Sisi Ma, Erich Kummerfeld +3 more

Predicting multi-modal symptom trajectories across 7 years in veterans with chronic posttraumatic stress

medRxiv(2020)10.1101/2020.10.08.20185272

N/A

0DataRank · unranked

0 citations

Thomas Kirsh, Erich Kummerfeld, Adam R. Ferguson, Thomas C. Neylan, Beth E. Cohen +3 more

Causal pathways to social and occupational functioning in the first episode of schizophrenia: uncovering unmet treatment needs

Psychological Medicine(2021)10.1017/s0033291721003780

N/A

0DataRank · unranked

29 citations

Piper Meyer-Kalos, Sisi Ma, David J. Bond, Erich Kummerfeld, Sophia Vinogradov +1 more

Explainable Machine Learning Analysis Reveals Gender Differences in the Phenotypic and Neurobiological Markers of Cannabis Use Disorder

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.30.458245

N/A

0DataRank · unranked

2 citations

Eric Rawls, Sisi Ma, Erich Kummerfeld, Andrea M. Maxwell, Leyla R. Brucar +3 more

The Resting-State Causal Human Connectome is Characterized by Hub Connectivity of Executive and Attentional Networks

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.20.465211

N/A

0DataRank · unranked

1 citations

Erich Kummerfeld, Bryon A. Mueller, Sisi Ma, Anna Zilverstand, Eric Rawls

Sisi Ma

Indexed papers

Top data-sharing exemplar

Papers