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

Allissa Dillman

Sage (United Kingdom)

ORCID: 0000-0003-0757-048X
MedicineBiochemistry, Genetics and Molecular BiologyEnvironmental Science

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 2%percentile
2.3Author DataRank

Indexed papers

3in 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 3 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.

Jupyter notebook-based tools for building structured datasets from the Sequence Read Archive

F1000Research(2020)10.12688/f1000research.23180.2
Top 20%
1.0DataRank
Top 20%11 citations

Ariella Gladstein, Khun Zaw Latt, Emily Clough, Ben Busby, Allissa Dillman +1 more

Papers

Driven by 8 papers — median percentile 71. Top paper: “Jupyter notebook-based tools for building structured datasets from the Sequence Read Archive”.

Jupyter notebook-based tools for building structured datasets from the Sequence Read Archive

F1000Research(2020)10.12688/f1000research.23180.2
Top 20%
1.0DataRank
Top 20%11 citations

Ariella Gladstein, Khun Zaw Latt, Emily Clough, Ben Busby, Allissa Dillman +1 more

Jupyter notebook-based tools for building structured datasets from the Sequence Read Archive

F1000Research(2020)10.12688/f1000research.23180.1
Top 29%
0.696DataRank
Top 29%5 citations

Ariella Gladstein, Khun Zaw Latt, Emily Clough, Ben Busby, Allissa Dillman +1 more

Transcriptional Profiles Analysis of COVID-19 and Malaria Patients Reveals Potential Biomarkers in Children

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.06.30.498338
Top 35%
0.552DataRank
Top 35%19 citations

Jonas A. Kengne-Ouafo, Wesonga Makokha Rissy, Umuhoza Diane, Ken Murithi, Peter Kimani +3 more

Molecular Phylogenetics of HIV-1 Subtypes in African Populations: A Case Study of Sub-Saharan African Countries

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.05.18.492401
N/A
0DataRank · unranked
14 citations

Clement Dastan Mlay, Lindani Moyo, Brenda Muthoni Karumbo, Kauthar M. Omar, Erick Masunge Sinza +6 more

APOE4 is Associated with Differential Regional Vulnerability to Bioenergetic Deficits in Aged APOE Mice

Scientific Reports(2020)10.1038/s41598-020-61142-8
N/A
0DataRank · unranked
61 citations

Delfina Larrea, Marta Pera, Rishi R. Agrawal, David N. Guilfoyle, Leila Pirhaji +12 more

A toolkit for academic libraries to create interdisciplinary interest in the All of Us Researcher Workbench across campus communities

Medical Reference Services Quarterly(2025)10.1080/02763869.2025.2469915
N/A
0DataRank · unranked
0 citations

DeBran Tarver, Jennifer Burnette, Allissa Dillman, LaFrancis Gibson, Pamela Buzzard +4 more

Resolving the polymorphism-in-probe problem is critical for correct interpretation of expression QTL studies

UNC Libraries(2020)10.17615/ng8x-wz67
N/A
0DataRank · unranked
0 citations

John Hardy, Daniah Trabzuni, Dena G. Hernandez, Mark Cookson, Mina Ryten +11 more

Lessons learned in virulence factor identification and data management from a hackathon on microbial virulence

F1000Research(2022)10.12688/f1000research.26452.1
N/A
0DataRank · unranked
1 citations

Ryan Connor, Tamiru Berhanu-Denka, Sherry Bhalla, Vyacheslav Brover, Michael Chambers +18 more