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

Kristen M. Naegle

University of Virginia

ORCID: 0000-0001-7146-9592

Biochemistry, Genetics and Molecular BiologyChemistryComputer 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 100%percentile

0Author 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

ProteomeScout: a repository and analysis resource for post-translational modifications and proteins

Nucleic Acids Research(2015)10.1093/nar/gku1154

Top 33%

0.601DataRank

Top 33%54 citations

Alex S. Holehouse, Kristen M. Naegle, Matthew K. Matlock

Papers

Driven by 16 papers — median percentile 67. Top paper: “KSTAR: An algorithm to predict patient-specific kinase activities from phosphoproteomic data”.

KSTAR: An algorithm to predict patient-specific kinase activities from phosphoproteomic data

Nature Communications(2022)10.1038/s41467-022-32017-5

N/A

0.996DataRank · unranked

31 citations

Ben T. Jordan, Hamza Ahmed, X. Cynthia, Kristen M. Naegle, Sam Crowl

ProteomeScout: a repository and analysis resource for post-translational modifications and proteins

Nucleic Acids Research(2015)10.1093/nar/gku1154

Top 33%

0.601DataRank

Top 33%54 citations

Alex S. Holehouse, Kristen M. Naegle, Matthew K. Matlock

ProteoClade: A taxonomic toolkit for multi-species and metaproteomic analysis

PLoS Computational Biology(2020)10.1371/journal.pcbi.1007741

N/A

0.457DataRank · unranked

20 citations

Sjoerd van der Post, Kristen M. Naegle, Jason M. Held, Arshag D. Mooradian

Systematic analysis of the effects of splicing on the diversity of post-translational modifications in protein isoforms using PTM-POSE

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.10.575062

N/A

0.245DataRank · unranked

3 citations

Maeve Bella Coleman, Andrew Chaphiv, Ben T. Jordan, Kristen M. Naegle, Sam Crowl

KinPred: A unified and sustainable approach for harnessing proteome-level human kinase-substrate predictions

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.08.10.244426

N/A

0.180DataRank · unranked

2 citations

Ben T. Jordan, Saqib Rizvi, Kristen M. Naegle, Bingjie Xue

A signaling inspired synthetic toolkit for efficient production of tyrosine phosphorylated proteins

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.12.22.629992

N/A

0.104DataRank · unranked

1 citations

Reagan Portelance, Graham F. Newman, Gabrielle Martinez, Swathi Shekharan, Anqi Wu +7 more

Defining phenotypic and functional heterogeneity of glioblastoma stem cells by mass cytometry

JCI Insight(2021)10.1172/jci.insight.128456

N/A

0DataRank · unranked

29 citations

Arijita Jash, Olga Malkova, Diane D. Mao, Patrick DeSouza, Yunli E. Chu +9 more

Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.01.530599

N/A

0DataRank · unranked

3 citations

Steven L. Christiansen, Kristen M. Naegle, Jeffrey J. Saucerman, Anders R. Nelson

Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts

Proceedings of the National Academy of Sciences(2024)10.1073/pnas.2303513121

N/A

0DataRank · unranked

24 citations

Steven L. Christiansen, Kristen M. Naegle, Jeffrey J. Saucerman, Anders R. Nelson

KSTAR: An algorithm to predict patient-specific kinase activities from phosphoproteomic data

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.07.06.451378

N/A

0DataRank · unranked

3 citations

Ben T. Jordan, Hamza Ahmed, X. Cynthia, Kristen M. Naegle, Sam Crowl

Systematic analysis of the effects of splicing on the diversity of post-translational modifications in protein isoforms using PTM-POSE

Cell Systems(2025)10.1016/j.cels.2025.101318

N/A

0DataRank · unranked

6 citations

Maeve Bella Coleman, Andrew Chaphiv, Ben T. Jordan, Kristen M. Naegle, Sam Crowl

Structure-informed theoretical modeling defines principles governing avidity in bivalent protein interactions

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.05.13.653723

N/A

0DataRank · unranked

0 citations

Anqi Wu, Alekhya Kandoor, Kristen M. Naegle, Reagan Portelance

Informatics at the Frontier of Cancer Research

Cancer Research(2025)10.1158/0008-5472.can-24-2829

N/A

0DataRank · unranked

0 citations

Taxiarchis Botsis, Pablo G. Cámara, Lauren Ciotti, Lee Cooper, Jeremy Goecks +19 more

1104 Bayesian inference reveals the effects of tumor cells and macrophages in kinase signal detection in glioblastoma (GBM)

Regular and Young Investigator Award Abstracts(2025)10.1136/jitc-2025-sitc2025.1104

N/A

0DataRank · unranked

0 citations

Alicia D. D’Souza, Rachit S Mukkamala, Forest M. White, Kristen M. Naegle, Candace W Lei

A path to translation: How 3D patient tumor avatars enable next generation precision oncology

Cancer Cell(2022)10.1016/j.ccell.2022.09.017

N/A

0DataRank · unranked

66 citations

Margarida Barroso, Milan G. Chheda, Hans Clevers, Élena Elez, Salma Kaochar +21 more

KinPred: A unified and sustainable approach for harnessing proteome-level human kinase-substrate predictions

PLoS Computational Biology(2021)10.1371/journal.pcbi.1008681

N/A

0DataRank · unranked

15 citations

Ben T. Jordan, Saqib Rizvi, Kristen M. Naegle, Bingjie Xue