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

Ken A. Dill

Stony Brook University

ORCID: 0000-0002-2390-2002
Biochemistry, Genetics and Molecular BiologyMaterials SciencePhysics and Astronomy

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
0.540Author 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.

Outcomes of the 2019 EMDataResource model challenge: validation of cryo-EM models at near-atomic resolution

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.12.147033
Top 48%
0.375DataRank
Top 48%7 citations

Andriy Kryshtafovych, Paul D. Adams, Pavel V. Afonine, Matthew L. Baker, Benjamin A. Barad +49 more

Papers

Driven by 19 papers — median percentile 41. Top paper: “Outcomes of the 2019 EMDataResource model challenge: validation of cryo-EM models at near-atomic resolution”.

Outcomes of the 2019 EMDataResource model challenge: validation of cryo-EM models at near-atomic resolution

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.12.147033
Top 48%
0.375DataRank
Top 48%7 citations

Andriy Kryshtafovych, Paul D. Adams, Pavel V. Afonine, Matthew L. Baker, Benjamin A. Barad +49 more

BioMThermDB 1.0: Thermophysical Database of Proteins in Solutions

International Journal of Molecular Sciences(2022)10.3390/ijms232315371
Top 70%
0.165DataRank
Top 70%2 citations

Sandi Brudar, Evangelos A. Coutsias, Ken A. Dill, Miha Lukšič, Carlos Simmerling +2 more

The Protein Folding Problem: The Role of Theory

Journal of Molecular Biology(2021)10.1016/j.jmb.2021.167126
N/A
0DataRank · unranked
112 citations

Gregory L. Dignon, Rostam M. Razban, Ken A. Dill, Roy Nassar

CryoFold: Determining protein structures and data-guided ensembles from cryo-EM density maps

Matter(2021)10.1016/j.matt.2021.09.004
N/A
0DataRank · unranked
51 citations

Genki Terashi, Chitrak Gupta, Daipayan Sarkar, Gaspard Debussche, Nicholas J. Sisco +11 more

Accelerating Molecular Dynamics Enrichments of High-Affinity Ligands for Proteins

Journal of Chemical Theory and Computation(2021)10.1021/acs.jctc.1c00855
N/A
0DataRank · unranked
6 citations

Emiliano Brini, Ken A. Dill, Cong Liu

Nanoscale Catalyst Chemotaxis Can Drive the Assembly of Functional Pathways

The Journal of Physical Chemistry B(2021)10.1021/acs.jpcb.1c04498
N/A
0DataRank · unranked
9 citations

Luca Agozzino, Ken A. Dill, Charles D. Kocher

Accelerating Protein Folding Molecular Dynamics Using Inter-Residue Distances from Machine Learning Servers

Journal of Chemical Theory and Computation(2022)10.1021/acs.jctc.1c00916
N/A
0DataRank · unranked
23 citations

Emiliano Brini, Sridip Parui, Cong Liu, Gregory L. Dignon, Ken A. Dill +1 more

Review of the application of Kirchhoff's Laws of series and parallel flows to pharmacology: Defining organ clearance

Pharmacology & Therapeutics(2022)10.1016/j.pharmthera.2022.108278
N/A
0DataRank · unranked
23 citations

Ken A. Dill, Jasleen K. Sodhi, Leslie Z. Benet, Jonathan Asher Pachter

MHC-Fine: Fine-tuned AlphaFold for Precise MHC-Peptide Complex Prediction

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.29.569310
N/A
0DataRank · unranked
11 citations

Dmytro Kalitin, Darya Stepanenko, Y. Zhu, Thu Nguyen, George Jones +7 more

Functional transcriptional signatures for tumor-type-agnostic phenotype prediction

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.12.536595
N/A
0DataRank · unranked
6 citations

Kevin A. Murgas, Jiening Zhu, Larry Norton, Ken A. Dill, Allen Tannenbaum +2 more

Brain signaling becomes less integrated and more segregated with age

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.17.567376
N/A
0DataRank · unranked
3 citations

Botond Antal, Ken A. Dill, Lilianne R. Mujica‐Parodi, Rostam M. Razban

MHC-Fine: Fine-tuned AlphaFold for precise MHC-peptide complex prediction

Biophysical Journal(2024)10.1016/j.bpj.2024.05.011
N/A
0DataRank · unranked
17 citations

Dmytro Kalitin, Darya Stepanenko, Y. Zhu, Thu Nguyen, George Jones +8 more

Antibody association in solution: cluster distributions and mechanisms

mAbs(2024)10.1080/19420862.2024.2339582
N/A
0DataRank · unranked
7 citations

Leonid Breydo, Elisha Chung, Ken A. Dill, Nasim Ehterami, Ketan Phadnis +6 more

Brain signaling becomes less integrated and more segregated with age

Network Neuroscience(2024)10.1162/netn_a_00389
N/A
0DataRank · unranked
7 citations

Botond Antal, Ken A. Dill, Lilianne R. Mujica‐Parodi, Rostam M. Razban

Normal tissue transcriptional signatures for tumor-type-agnostic phenotype prediction

Scientific Reports(2024)10.1038/s41598-024-76625-1
N/A
0DataRank · unranked
2 citations

Kevin A. Murgas, Jiening Zhu, Larry Norton, Ken A. Dill, Allen Tannenbaum +2 more

A Principled Basis for Nonequilibrium Network Flows

arXiv (Cornell University)(2024)10.48550/arxiv.2410.17495
N/A
0DataRank · unranked
0 citations

Ken A. Dill, Ying-Jen Yang

Statistical Mechanical Theory of Liquid Water

Journal of Chemical Theory and Computation(2025)10.1021/acs.jctc.5c00949
N/A
0DataRank · unranked
1 citations

Ken A. Dill, Lakshmanji Verma

Statistical mechanical theory of liquid water

arXiv (Cornell University)(2025)10.48550/arxiv.2505.02826
N/A
0DataRank · unranked
0 citations

Ken A. Dill, Lakshmanji Verma

Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge

Nature Methods(2021)10.1038/s41592-020-01051-w
N/A
0DataRank · unranked
119 citations

Andriy Kryshtafovych, Paul D. Adams, Pavel V. Afonine, Matthew L. Baker, Benjamin A. Barad +49 more