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

Kartik Subramanian

Bristol-Myers Squibb (United States)

ORCID: 0000-0002-6900-8882
Biochemistry, Genetics and Molecular BiologyChemistryMedicine

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 4%percentile
0.614Author 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.

Proteomic profiling across breast cancer cell lines and models

Scientific Data(2023)10.1038/s41597-023-02355-0
Top 38%
0.510DataRank
Top 38%11 citations

Matthew J. Berberich, Robert A. Everley, Maulik K. Nariya, Mirra Chung, Benjamin L. Gaudio +8 more

Papers

Driven by 8 papers — median percentile 42. Top paper: “Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics”.

Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics

Cell Systems(2020)10.1016/j.cels.2020.06.013
N/A
1.1DataRank · unranked
32 citations

Francesca Petralia, Zhi Li, Hongyang Li, Weiping Ma, Xiaoyu Song +87 more

Proteomic profiling across breast cancer cell lines and models

Scientific Data(2023)10.1038/s41597-023-02355-0
Top 38%
0.510DataRank
Top 38%11 citations

Matthew J. Berberich, Robert A. Everley, Maulik K. Nariya, Mirra Chung, Benjamin L. Gaudio +8 more

Comprehensive Proteomics Metadata and Integrative Web Portals Facilitate Sharing and Integration of LINCS Multiomics Data

Molecular & Cellular Proteomics(2025)10.1016/j.mcpro.2025.100947
Top 78%
0.104DataRank
Top 78%1 citations

Behrouz Shamsaei, Stephan C. Schürer, Phillip Kogan, Szymon Chojnacki, Michal Kouril +69 more

Multiplexed and reproducible high content screening of live and fixed cells using Dye Drop

Nature Communications(2022)10.1038/s41467-022-34536-7
N/A
0DataRank · unranked
31 citations

Kartik Subramanian, Marc Hafner, Mario Niepel, Luca Gerosa, Mirra Chung +7 more

Chemical Biology Toolkit for DCLK1 Reveals Connection to RNA Processing

Cell chemical biology(2020)10.1016/j.chembiol.2020.07.011
N/A
0DataRank · unranked
22 citations

Fleur M. Ferguson, Lianbo Li, Miljan Kuljanin, Caitlin E. Mills, Kartik Subramanian +8 more

Corrigendum to “Comprehensive Proteomics Metadata and Integrative Web Portals Facilitate Sharing and Integration of LINCS Multiomics Data”

Molecular & Cellular Proteomics(2025)10.1016/j.mcpro.2025.100995
N/A
0DataRank · unranked
0 citations

Behrouz Shamsaei, Stephan C. Schürer, Phillip Kogan, Szymon Chojnacki, Michal Kouril +68 more

Time-resolved phosphoproteomics reveals scaffolding and catalysis-responsive patterns of SHP2-dependent signaling

eLife(2021)10.7554/elife.64251
N/A
0DataRank · unranked
40 citations

Lily A. Chylek, Alison R. Erickson, Anamarija Pfeiffer, Khal-Hentz Gabriel, Jonathan R. LaRochelle +10 more

Multiplexed and reproducible high content screening of live and fixed cells using the Dye Drop method

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.27.457854
N/A
0DataRank · unranked
5 citations

Kartik Subramanian, Marc Hafner, Mario Niepel, Luca Gerosa, Mirra Chung +7 more