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

Shilpa Keerthivasan

Bristol-Myers Squibb (Germany)

ORCID: 0000-0003-4525-2503
MedicineBiochemistry, Genetics and Molecular BiologyImmunology and Microbiology

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 100%percentile
0Author 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.

Supplementary Table from Spatial Positioning and Matrix Programs of Cancer-Associated Fibroblasts Promote T-cell Exclusion in Human Lung Tumors

(2023)10.1158/2159-8290.22541751
Top 100%
0DataRank
Top 100%0 citations

Philémon Sirven, Andrew M. Leader, Shrisha Maskey, Eglantine Hector, Isabelle Puisieux +34 more

Papers

Driven by 5 papers — median percentile 0. Top paper: “Spatial Positioning and Matrix Programs of Cancer-Associated Fibroblasts Promote T-cell Exclusion in Human Lung Tumors”.

Spatial Positioning and Matrix Programs of Cancer-Associated Fibroblasts Promote T-cell Exclusion in Human Lung Tumors

Cancer Discovery(2022)10.1158/2159-8290.cd-21-1714
N/A
0.872DataRank · unranked
334 citations

Philémon Sirven, Andrew M. Leader, Shrisha Maskey, Eglantine Hector, Isabelle Puisieux +34 more

Transfer learning identifies in vivo senescence heterogeneity and contributions to vascularization and matrix production across species and diverse pathologies

Research Square(2022)10.21203/rs.3.rs-1847932/v1
N/A
0DataRank · unranked
0 citations

James I. Andorko, Kavita Krishnan, Joscelyn C. Mejías, Helen Nguyễn, Katlin B. Stivers +21 more

Transfer learning in a biomaterial fibrosis model identifies in vivo senescence heterogeneity and contributions to vascularization and matrix production across species and diverse pathologies

GeroScience(2023)10.1007/s11357-023-00785-7
N/A
0DataRank · unranked
66 citations

James I. Andorko, Kavita Krishnan, Joscelyn C. Mejías, Helen Nguyễn, Katlin B. Stivers +21 more

Data from FAP Delineates Heterogeneous and Functionally Divergent Stromal Cells in Immune-Excluded Breast Tumors

(2023)10.1158/2326-6066.c.6548938.v1
N/A
0DataRank · unranked
0 citations

Jillian L. Astarita, Angelo L. Grauel, Shilpa Keerthivasan, Kenzie D. Macisaac, Matthew C. Woodruff +15 more

Supplementary Table from Spatial Positioning and Matrix Programs of Cancer-Associated Fibroblasts Promote T-cell Exclusion in Human Lung Tumors

(2023)10.1158/2159-8290.22541751
Top 100%
0DataRank
Top 100%0 citations

Philémon Sirven, Andrew M. Leader, Shrisha Maskey, Eglantine Hector, Isabelle Puisieux +34 more