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

V. Kartik Chundru

University of Exeter

ORCID: 0000-0002-6348-5565
Biochemistry, 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.

Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference

Nature Genetics(2024)10.1038/s41588-023-01596-4
Top 9%
2.4DataRank
Top 9%176 citations

Georgina Navoly, Olga Giannakopoulou, Daniel F. Levey, Dóra Koller, Gita A. Pathak +76 more

Papers

Driven by 6 papers — median percentile 69. Top paper: “Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference”.

Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference

Nature Genetics(2024)10.1038/s41588-023-01596-4
Top 9%
2.4DataRank
Top 9%176 citations

Georgina Navoly, Olga Giannakopoulou, Daniel F. Levey, Dóra Koller, Gita A. Pathak +76 more

Multi-ancestry GWAS of major depression aids locus discovery, fine-mapping, gene prioritisation, and causal inference

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.20.500802
Top 54%
0.311DataRank
Top 54%4 citations

Georgina Navoly, Olga Giannakopoulou, Daniel F. Levey, Dóra Koller, Gita A. Pathak +71 more

Federated cross-biobank conditional analysis identifies LDL-C lowering effects of DNAJC13 haploinsufficiency and LDLR regulation

bioRxiv (Cold Spring Harbor Laboratory)(2026)10.64898/2026.02.03.702791
N/A
0DataRank · unranked
0 citations

Liza Darrous, Lauric Ferrat, V. Kartik Chundru, Aurelie Kamoun, Katharina Domschke +9 more

Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies

Cell(2025)10.1016/j.cell.2024.12.002
N/A
0DataRank · unranked
229 citations

Fabian Streit, Xiangrui Meng, Swapnil Awasthi, Brett N. Adey, Karmel W. Choi +95 more

Whole-genome sequencing analysis of anthropometric traits in 672,976 individuals reveals convergence between rare and common genetic associations

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.02.24.639925
N/A
0DataRank · unranked
3 citations

Harrison I. W. Wright, Robin N. Beaumont, V. Kartik Chundru, Aimee Hanson, Leigh Jackson +7 more

Genotype-level quality control substantially reduces error rates in population-scale whole-genome sequencing

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.11.06.686913
N/A
0DataRank · unranked
0 citations

Harrison I.W. Wright, Timothy M. Frayling, Andrew R. Wood, Michael N. Weedon, Caroline F. Wright +3 more