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

Vida Ravanmehr

Baylor College of Medicine

ORCID: 0000-0002-3971-1083
Biochemistry, Genetics and Molecular BiologyComputer ScienceMedicine

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
3.3Author 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 →

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.

KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response

Patterns(2020)10.1016/j.patter.2020.100155
Top 7%
3.3DataRank
Top 7%95 citations

Deepak R Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon +13 more

Papers

Driven by 13 papers — median percentile 93. Top paper: “KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response”.

KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response

Patterns(2020)10.1016/j.patter.2020.100155
Top 7%
3.3DataRank
Top 7%95 citations

Deepak R Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon +13 more

Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning

Bioinformatics Advances(2024)10.1093/bioadv/vbae036
N/A
0.330DataRank · unranked
8 citations

Lauren Rekerle, Tommaso Fontana, Peter Hansen, Elena Casiraghi, Vida Ravanmehr +12 more

Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer

NAR Genomics and Bioinformatics(2021)10.1093/nargab/lqab113
N/A
0DataRank · unranked
7 citations

Hannah Blau, Luca Cappelletti, Tommaso Fontana, Leigh C Carmody, Ben D Coleman +13 more

Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.06.11.447943
N/A
0DataRank · unranked
1 citations

Hannah Blau, Luca Cappelletti, Tommaso Fontana, Leigh C Carmody, Ben D Coleman +12 more

GraPE: fast and scalable Graph Processing and Embedding

Research Square(2022)10.21203/rs.3.rs-967145/v1
N/A
0DataRank · unranked
5 citations

Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Marcin P. Joachimiak +5 more

Node-degree aware edge sampling mitigates inflated classification performance in biomedical graph representation learning

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.21.517376
N/A
0DataRank · unranked
1 citations

Lauren Rekerle, Tommaso Fontana, Peter Hansen, Elena Casiraghi, Vida Ravanmehr +12 more

KG-Hub—building and exchanging biological knowledge graphs

Bioinformatics(2023)10.1093/bioinformatics/btad418
N/A
0DataRank · unranked
35 citations

Tim Putman, Kevin Schaper, Deepak R Unni, Harshad Hegde, Tiffany J. Callahan +21 more

GRAPE for fast and scalable graph processing and random-walk-based embedding

Nature Computational Science(2023)10.1038/s43588-023-00465-8
N/A
0DataRank · unranked
32 citations

Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Carlos Cano +6 more

KG-Hub -- Building and Exchanging Biological Knowledge Graphs

arXiv (Cornell University)(2023)10.48550/arxiv.2302.10800
N/A
0DataRank · unranked
0 citations

Tim Putman, Kevin Schaper, Deepak R Unni, Harshad Hegde, Tiffany J. Callahan +21 more

Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery

UNC Libraries(2024)10.17615/1tsk-ff12
N/A
0DataRank · unranked
0 citations

Amy Yates, Leigh C Carmody, Emily Pfaff, Christopher G. Chute, Hao Xu +25 more

Rare heterozygous missense variants in VSX2 are associated with retinal detachment

PLOS Genetics(2026)10.1371/journal.pgen.1012027
N/A
0DataRank · unranked
0 citations

Justin S. Dhindsa, Yifan Chen, Vida Ravanmehr, Jonathan Mitchell, Fengyuan Hu +13 more

Haploinsufficiency of ITSN1 is associated with a substantial increased risk of Parkinson’s disease

Cell Reports(2025)10.1016/j.celrep.2025.115355
N/A
0DataRank · unranked
12 citations

Chloe F. Sands, Isabella R. Juan, Jonathan Mitchell, Vida Ravanmehr, Jessica C. Butts +22 more

Interpretable Clinical Genomics with a Likelihood Ratio Paradigm

The American Journal of Human Genetics(2020)10.1016/j.ajhg.2020.06.021
N/A
0DataRank · unranked
113 citations

Vida Ravanmehr, Julius O.B. Jacobsen, Daniel Daniš, Xingmin Aaron Zhang, Leigh C Carmody +10 more