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

Catherine M. Farrell

National Institutes of Health

ORCID: 0009-0003-3804-8528

Also affiliated with United States National Library of Medicine, National Center for Biotechnology Information

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 1%percentile
43.2Author DataRank

Indexed papers

8in 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 8 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.

The consensus coding sequence (CCDS) project: Identifying a common protein-coding gene set for the human and mouse genomes

Genome Research(2009)10.1101/gr.080531.108
Top 1%
12.0DataRank
Top 1%592 citations

Jennifer Harrow, Rachel A. Harte, Craig Wallin, Mark Diekhans, Bin Ma +52 more

Papers

Driven by 8 papers — median percentile 96. Top paper: “The consensus coding sequence (CCDS) project: Identifying a common protein-coding gene set for the human and mouse genomes”.

The consensus coding sequence (CCDS) project: Identifying a common protein-coding gene set for the human and mouse genomes

Genome Research(2009)10.1101/gr.080531.108
Top 1%
12.0DataRank
Top 1%592 citations

Jennifer Harrow, Rachel A. Harte, Craig Wallin, Mark Diekhans, Bin Ma +52 more

RefSeq: an update on mammalian reference sequences

Nucleic Acids Research(2014)10.1093/nar/gkt1114
Top 1%
10.4DataRank
Top 1%1015 citations

Garth R. Brown, Susan M. Hiatt, Françoise Thibaud-Nissen, Alexander Astashyn, Olga Ermolaeva +24 more

A joint NCBI and EMBL-EBI transcript set for clinical genomics and research

Nature(2022)10.1038/s41586-022-04558-8
Top 3%
6.2DataRank
Top 3%597 citations

Shashikant Pujar, Jane E. Loveland, Alex Astashyn, Ruth Bennett, Andrew Berry +35 more

Database resources of the National Center for Biotechnology Information

Nucleic Acids Research(2023)10.1093/nar/gkad1044
Top 4%
5.4DataRank
Top 4%363 citations

Jeffrey Beck, Evan E. Bolton, J. Rodney Brister, Jessica Chan, Donald C. Comeau +36 more

Database resources of the National Center for Biotechnology Information in 2023

Nucleic Acids Research(2022)10.1093/nar/gkac1032
Top 4%
5.3DataRank
Top 4%471 citations

Evan E. Bolton, J. Rodney Brister, Kathi Canese, Jessica Chan, Donald C. Comeau +27 more

NCBI RefSeq: reference sequence standards through 25 years of curation and annotation

Nucleic Acids Research(2024)10.1093/nar/gkae1038
Top 7%
3.2DataRank
Top 7%286 citations

Vamsi K. Kodali, Shashikant Pujar, Vyacheslav Brover, Barbara Robbertse, Catherine M. Farrell +31 more

RefSeq Functional Elements as experimentally assayed nongenic reference standards and functional interactions in human and mouse

Genome Research(2021)10.1101/gr.275819.121
Top 27%
0.735DataRank
Top 27%19 citations

Tamara Goldfarb, Sanjida H Rangwala, Alexander Astashyn, Olga Ermolaeva, Vichet Hem +7 more

RefSeq Select: a curated set of representative transcripts for mouse protein-coding genes

INDIGO (University of Illinois at Chicago)(2020)10.6084/m9.figshare.12148938.v2
Top 100%
0DataRank
Top 100%0 citations

Alex Astashyn, Eric Cox, Olga Ermolaeva, Catherine M. Farrell, Tamara Goldfarb +11 more