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

Jayaram Vijayakrishnan

Institute of Cancer Research

ORCID: 0000-0002-8284-2249
Biochemistry, Genetics and Molecular BiologyMedicine

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
1.5Author DataRank

Indexed papers

3in 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 3 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.

Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers

Nature Communications(2024)10.1038/s41467-024-46927-z
Top 23%
0.863DataRank
Top 23%27 citations

Amit Sud, C. Mills, Abi Hyde, Richard Culliford, Philip Law +8 more

Papers

Driven by 7 papers — median percentile 68. Top paper: “Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers”.

Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers

Nature Communications(2024)10.1038/s41467-024-46927-z
Top 23%
0.863DataRank
Top 23%27 citations

Amit Sud, C. Mills, Abi Hyde, Richard Culliford, Philip Law +8 more

Design and quality control of large-scale two-sample Mendelian randomization studies

International Journal of Epidemiology(2023)10.1093/ije/dyad018
Top 32%
0.620DataRank
Top 32%14 citations

Maria Carolina Borges, Kimberley Burrows, Rozenn N. Lemaître, Sean Harrison, Stephen Burgess +95 more

Leveraging Genome and Phenome-Wide Association Studies to Investigate Genetic Risk of Acute Lymphoblastic Leukemia

Cancer Epidemiology Biomarkers & Prevention(2020)10.1158/1055-9965.epi-20-0113
N/A
0DataRank · unranked
39 citations

Jayaram Vijayakrishnan, Chenan Zhang, Jillian H. Hurst, Richard S. Houlston, Kyle M. Walsh +1 more

Risk factors for eight common cancers revealed from a phenome-wide Mendelian randomisation analysis of 378,142 cases and 485,715 controls

medRxiv(2023)10.1101/2023.02.15.23285952
N/A
0DataRank · unranked
0 citations

Amit Sud, C. Mills, Abi Hyde, Richard Culliford, Philip Law +8 more

Data from Deciphering the Impact of Common Genetic Variation on Lung Cancer Risk: A Genome-Wide Association Study

(2023)10.1158/0008-5472.c.6499122.v1
Top 100%
0DataRank
Top 100%0 citations

Yufei Wang, Jayaram Vijayakrishnan, Athena Matakidou, Margaret R. Spitz, Timothy Eisen +3 more

Risk factors for eight common cancers revealed from a phenome-wide Mendelian randomisation analysis of 378,142 cases and 485,715 controls

Research Square(2023)10.21203/rs.3.rs-2587058/v1
N/A
0DataRank · unranked
2 citations

Amit Sud, C. Mills, Abi Hyde, Richard Culliford, Philip Law +8 more

The association between genetically elevated polyunsaturated fatty acids and risk of cancer

EBioMedicine(2023)10.1016/j.ebiom.2023.104510
N/A
0DataRank · unranked
52 citations

Maria Carolina Borges, Kimberley Burrows, Rozenn N. Lemaître, Stephen Burgess, Nikhil K. Khankari +94 more