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

Clarissa C. Parker

Middlebury College

ORCID: 0000-0002-0361-7095
Biochemistry, Genetics and Molecular BiologyNeuroscience

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 5%percentile
0.487Author 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.

Analysis of independent cohorts of outbred CFW mice reveals novel loci for behavioral and physiological traits and identifies factors determining reproducibility

G3 Genes Genomes Genetics(2021)10.1093/g3journal/jkab394
Top 39%
0.487DataRank
Top 39%13 citations

Shyam Gopalakrishnan, Clarissa C. Parker, Jérôme Nicod, Richard Mott, Na Cai +5 more

Papers

Driven by 7 papers — median percentile 61. Top paper: “Analysis of independent cohorts of outbred CFW mice reveals novel loci for behavioral and physiological traits and identifies factors determining reproducibility”.

Analysis of independent cohorts of outbred CFW mice reveals novel loci for behavioral and physiological traits and identifies factors determining reproducibility

G3 Genes Genomes Genetics(2021)10.1093/g3journal/jkab394
Top 39%
0.487DataRank
Top 39%13 citations

Shyam Gopalakrishnan, Clarissa C. Parker, Jérôme Nicod, Richard Mott, Na Cai +5 more

Genome‐wide association mapping of ethanol sensitivity in the Diversity Outbred mouse population

Alcoholism Clinical and Experimental Research(2022)10.1111/acer.14825
N/A
0.292DataRank · unranked
6 citations

Vivek M. Philip, Daniel M. Gatti, Steven William Kasparek, Andrew M. Kreuzman, Lauren Kuffler +12 more

Alcohol Sensitivity as an Endophenotype of Alcohol Use Disorder: Exploring Its Translational Utility between Rodents and Humans

Brain Sciences(2020)10.3390/brainsci10100725
N/A
0DataRank · unranked
23 citations

Ryan Lusk, Laura Saba, Clarissa C. Parker

Genome-wide meta-analyses of cross substance use disorders in European, African, and Latino ancestry populations

Research Square(2024)10.21203/rs.3.rs-3955955/v1
N/A
0DataRank · unranked
3 citations

Michael Zhang, Nicholas Green, Marco Abreu, Tae‐Hwi Schwantes‐An, Clarissa C. Parker +8 more

Genome-wide meta-analyses of cross substance use disorders in diverse populations

Molecular Psychiatry(2025)10.1038/s41380-025-03294-5
N/A
0DataRank · unranked
3 citations

Michael Zhang, Nick Green, Marco Abreu, Tae‐Hwi Schwantes‐An, Clarissa C. Parker +8 more

Genome-wide association mapping of ethanol sensitivity in the Diversity Outbred mouse population

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.09.06.459155
N/A
0DataRank · unranked
0 citations

Vivek M. Philip, Daniel M. Gatti, Steven William Kasparek, Andrew M. Kreuzman, Lauren Kuffler +12 more

Analysis of independent cohorts of outbred CFW mice reveals novel loci for behavioral and physiological traits and identifies factors determining reproducibility

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.02.05.429998
N/A
0DataRank · unranked
3 citations

Shyam Gopalakrishnan, Clarissa C. Parker, Jérôme Nicod, Richard Mott, Na Cai +5 more