🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Priyam Das

ORCID: 0000-0003-2384-0486
MathematicsComputer ScienceBiochemistry, Genetics and Molecular Biology

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

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 →

Top data-sharing exemplar

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

Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study

EClinicalMedicine(2022)10.1016/j.eclinm.2022.101724
Top 11%
2.0DataRank
Top 11%79 citations

Bryce W. Q. Tan, Amelia L.M. Tan, Emily Schriver, Alba Gutiérrez‐Sacristán, Priyam Das +89 more

Papers

Driven by 7 papers — median percentile 81. Top paper: “Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study”.

Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study

EClinicalMedicine(2022)10.1016/j.eclinm.2022.101724
Top 11%
2.0DataRank
Top 11%79 citations

Bryce W. Q. Tan, Amelia L.M. Tan, Emily Schriver, Alba Gutiérrez‐Sacristán, Priyam Das +89 more

Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study

EClinicalMedicine(2023)10.1016/j.eclinm.2023.102210
Top 27%
0.745DataRank
Top 27%24 citations

Zachary H. Strasser, Zahra Shakeri Hossein Abad, Jeffrey G. Klann, Kavishwar B. Wagholikar, Rebecca Mesa +93 more

Utilizing biologic disease-modifying anti-rheumatic treatment sequences to subphenotype rheumatoid arthritis

Arthritis Research & Therapy(2023)10.1186/s13075-023-03072-0
N/A
0.360DataRank · unranked
10 citations

Dana Weisenfeld, Kumar Dahal, Debsurya De, Vivi Feathers, Jonathan S. Coblyn +5 more

Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study

PLOS Digital Health(2024)10.1371/journal.pdig.0000484
N/A
0DataRank · unranked
3 citations

Jiyeon Son, Trang T. Le, Chuan Hong, Xuan Wang, Zahra Shakeri Hossein Abad +43 more

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104306
N/A
0DataRank · unranked
29 citations

Emily Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez‐Sacristán, Trang T. Le +34 more

Estimating the optimal linear combination of predictors using spherically constrained optimization

BMC Bioinformatics(2022)10.1186/s12859-022-04953-y
N/A
0DataRank · unranked
9 citations

Debsurya De, Raju Maiti, Mona Kamal, Katherine A. Hutcheson, Clifton D. Fuller +3 more

Bayesian Hierarchical Quantile Regression with Application to Characterizing the Immune Architecture of Lung Cancer

Biometrics(2022)10.1111/biom.13774
N/A
0DataRank · unranked
2 citations

Christine B. Peterson, Yang Ni, Alexandre Reuben, Jiexin Zhang, Jianjun Zhang +3 more