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

Karthik Raman

Indian Institute of Technology Madras

ORCID: 0000-0002-9311-7093

Also affiliated with Data Management (Italy)

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 3%percentile
1.2Author 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.

BugSigDB captures patterns of differential abundance across a broad range of host-associated microbial signatures

Nature Biotechnology(2023)10.1038/s41587-023-01872-y
Top 22%
0.934DataRank
Top 22%19 citations

Chloe Mirzayi, Fatima Zohra, Rimsha Azhar, Shaimaa Elsafoury, C. M. Grieve +16 more

Papers

Driven by 6 papers — median percentile 62. Top paper: “BugSigDB captures patterns of differential abundance across a broad range of host-associated microbial signatures”.

BugSigDB captures patterns of differential abundance across a broad range of host-associated microbial signatures

Nature Biotechnology(2023)10.1038/s41587-023-01872-y
Top 22%
0.934DataRank
Top 22%19 citations

Chloe Mirzayi, Fatima Zohra, Rimsha Azhar, Shaimaa Elsafoury, C. M. Grieve +16 more

SBML Level 3: an extensible format for the exchange and reuse of biological models

Molecular Systems Biology(2020)10.15252/msb.20199110
N/A
0.861DataRank · unranked
311 citations

Dagmar Waltemath, Matthias König, Fengkai Zhang, Andreas Dräger, Claudine Chaouiya +95 more

Phylogenomics, phenotypic, and functional traits of five novel (Earth-derived) bacterial species isolated from the International Space Station and their prevalence in metagenomes

Scientific Reports(2023)10.1038/s41598-023-44172-w
N/A
0.529DataRank · unranked
33 citations

Pratyay Sengupta, Flora Zhang, Asif Hameed, Ceth W. Parker, Nitin K. Singh +6 more

BugSigDB captures patterns of differential abundance across a broad range of host-associated microbial signatures

medRxiv(2022)10.1101/2022.10.24.22281483
Top 55%
0.301DataRank
Top 55%3 citations

Chloe Mirzayi, Fatima Zohra, Rimsha Azhar, Shaimaa Elsafoury, Claire Grieve +16 more

Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd

Molecular Systems Biology(2021)10.15252/msb.202110402
N/A
0DataRank · unranked
14 citations

Marco Tognetti, Alice Driessen, Jovan Tanevski, Baosen Guo, Wencai Cao +90 more

Phylogenetic affiliations and genomic characterization of novel bacterial species and their abundance in the International Space Station

Research Square(2023)10.21203/rs.3.rs-3126314/v1
N/A
0DataRank · unranked
3 citations

Pratyay Sengupta, Flora Zhang, Asif Hameed, Ceth W. Parker, Nitin K. Singh +6 more