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

Saksham Phul

Children's Hospital of Philadelphia

ORCID: 0000-0002-2771-2572
MedicineBiochemistry, 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 4%percentile
0.663Author 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.

The Open Pediatric Cancer Project

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.07.09.599086
Top 49%
0.361DataRank
Top 49%8 citations

Eric Wafula, Ryan J. Corbett, Yuanchao Zhang, Run Jin, Krutika S. Gaonkar +44 more

Papers

Driven by 8 papers — median percentile 48. Top paper: “The Open Pediatric Cancer Project”.

The Open Pediatric Cancer Project

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.07.09.599086
Top 49%
0.361DataRank
Top 49%8 citations

Eric Wafula, Ryan J. Corbett, Yuanchao Zhang, Run Jin, Krutika S. Gaonkar +44 more

The Open Pediatric Cancer Project

GigaScience(2025)10.1093/gigascience/giaf093
Top 55%
0.302DataRank
Top 55%6 citations

Eric Wafula, Ryan J. Corbett, Yuanchao Zhang, Run Jin, Krutika S. Gaonkar +44 more

AutoGVP: a dockerized workflow integrating ClinVar and InterVar germline sequence variant classification

Bioinformatics(2024)10.1093/bioinformatics/btae114
N/A
0DataRank · unranked
14 citations

Ammar S. Naqvi, Ryan J Corbett, Rebecca S. Kaufman, Zalman Vaksman, Miguel A. Brown +9 more

Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma

Nature Communications(2025)10.1038/s41467-024-55659-z
N/A
0DataRank · unranked
17 citations

Adam A. Kraya, Komal S. Rathi, Meen Chul Kim, Arastoo Vossough, Nastaran Khalili +27 more

Drugit: crowd-sourcing molecular design of non-peptidic VHL binders

Nature Communications(2025)10.1038/s41467-025-58406-0
N/A
0DataRank · unranked
2 citations

Christian A. Smethurst, Yvonne Westermaier, Moriz Mayer, Peter Greb, Roland Kousek +57 more

Predicting the functional impact of KCNQ1 variants with artificial neural networks

PLoS Computational Biology(2022)10.1371/journal.pcbi.1010038
N/A
0DataRank · unranked
9 citations

Georg Kuenze, Carlos G. Vanoye, Charles R. Sanders, Alfred L. George, Jens Meiler +1 more

Germline pathogenic variation impacts somatic alterations and patient outcomes in pediatric central nervous system tumors

Nature Communications(2025)10.1038/s41467-025-65190-4
N/A
0DataRank · unranked
0 citations

Rebecca S. Kaufman, Shelly W. McQuaid, Zalman Vaksman, Saksham Phul, Miguel A. Brown +28 more

AutoGVP: a dockerized workflow integrating ClinVar and InterVar germline sequence variant classification

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.29.569103
N/A
0DataRank · unranked
3 citations

Ammar S. Naqvi, Ryan J. Corbett, Rebecca S. Kaufman, Zalman Vaksman, Miguel A. Brown +9 more