Jeffrey Skolnick

27.3k citations

384 papers · 20.3k indexed · 3 hit papers · h-index 76

Impact in

Molecular Biology top 0.1%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods

Papers in

Molecular Biology 310
- Protein Structure and Dynamics 249
- RNA and protein synthesis mechanisms 91
- Machine Learning in Bioinformatics 49
- Glycosylation and Glycoproteins Research 25
- Genomics and Phylogenetic Studies 21
- Bioinformatics and Genomic Networks 18
Materials Chemistry 172
- Enzyme Structure and Function 147

Co-authors: Andrzej Koliński Yang Zhang Mu Gao Hongyi Zhou Marshall Fixman Adam Godzik Michał Bryliński Hui Lü
Journals: Proteins Structure Function and Bioinformatics (54 papers)Macromolecules (44 papers)The Journal of Chemical Physics (32 papers)Biophysical Journal (23 papers)Proceedings of the National Academy of Sciences (21 papers)
Partner nations: United States Poland Russia

In The Last Decade

Jeffrey Skolnick

378 papers receiving 19.8k citations

Hit Papers

align trajectories log scale

AF2Complex predicts direct physical interactions in multimeric proteins with deep learning 2022 · 152 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 Nature Communications
2004 Proteins Structure Function and Bioinformatics
1977 Macromolecules

Peers

Countries citing papers authored by Jeffrey Skolnick

Since Specialization

Citations

This map shows the geographic impact of Jeffrey Skolnick's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jeffrey Skolnick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Skolnick more than expected).

Fields of papers citing papers by Jeffrey Skolnick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey Skolnick. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jeffrey Skolnick. The network helps show where Jeffrey Skolnick may publish in the future.

Co-authors

The 25 scholars most cited alongside Jeffrey Skolnick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeffrey Skolnick Line = papers co-authored together Jeffrey Skolnick links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	AF3Complex yields improved structural predictions of protein complexes Bioinformatics ·Jonathan Feldman, Jeffrey Skolnick	2025	2
2	Entabolons: How Metabolites Modify the Biochemical Function of Proteins and Cause the Correlated Behavior of Proteins in Pathways Journal of Chemical Information and Modeling ·Jeffrey Skolnick, Bharath Srinivasan, J. Štorek, Benjamin Edelman, Steve	2025	1
3	Utility of the Morgan Fingerprint in Structure-Based Virtual Ligand Screening The Journal of Physical Chemistry B ·Steve, Jeffrey Skolnick	2024	10
4	Computational Identification of Stearic Acid as a Potential PDK1 Inhibitor and In Vitro Validation of Stearic Acid as Colon Cancer Therapeutic in Combination with 5-Fluorouracil Cancer Informatics ·X. Y. Wu, Yubi Kwon, Ketki Patil, Elizabeth Worth, J. Risopoulos, 김희완, Jeffrey Skolnick, S. Balakrishna Pai	2021	10
5	Chemical space of Escherichia coli dihydrofolate reductase inhibitors: New approaches for discovering novel drugs for old bugs Medicinal Research Reviews ·Bharath Srinivasan, Gomez Martinez Miguel, Ambrish Roy, Hongyi Zhou, Jeffrey Skolnick	2018	32
6	Rational Design of Novel Allosteric Dihydrofolate Reductase Inhibitors Showing Antibacterial Effects on Drug-Resistant Escherichia coli Escape Variants ACS Chemical Biology ·Bharath Srinivasan, João V. Rodrigues, Gomez Martinez Miguel, Eugene I. Shakhnovich, Jeffrey Skolnick	2017	16
7	Metabolomics identifies the intersection of phosphoethanolamine with menaquinone-triggered apoptosis in an in vitro model of leukemia Molecular BioSystems ·J. Riis, David Tamayo-Esquivel, Jeffrey Skolnick, Mark P. Styczynski	2015	27
8	Ligand binding studies, preliminary structure–activity relationship and detailed mechanistic characterization of 1-phenyl-6,6-dimethyl-1,3,5-triazine-2,4-diamine derivatives as inhibitors of Escherichia coli dihydrofolate reductase European Journal of Medicinal Chemistry ·Bharath Srinivasan, Gomez Martinez Miguel, Jeffrey Skolnick	2015	22
9	Crowding and hydrodynamic interactions likely dominate in vivo macromolecular motion Proceedings of the National Academy of Sciences ·Tadashi Ando, Jeffrey Skolnick	2010	321
10	iAlign: a method for the structural comparison of protein–protein interfaces Bioinformatics ·Mu Gao, Jeffrey Skolnick	2010	70
11	The continuity of protein structure space is an intrinsic property of proteins Proceedings of the National Academy of Sciences ·Jeffrey Skolnick, Adrián K. Arakaki, Seung Yup Lee, Michał Bryliński	2009	62
12	From Nonspecific DNA–Protein Encounter Complexes to the Prediction of DNA–Protein Interactions PLoS Computational Biology ·Mu Gao, Jeffrey Skolnick	2009	27
13	Protein model refinement using an optimized physics-based all-atom force field Proceedings of the National Academy of Sciences ·Anna Jagielska, Liliana Wróblewska, Jeffrey Skolnick	2008	54
14	Benchmarking of TASSER_2.0: An Improved Protein Structure Prediction Algorithm with More Accurate Predicted Contact Restraints Biophysical Journal ·Seung Yup Lee, Jeffrey Skolnick	2008	17
15	Origin of intrinsic 3₁₀‐helix versus strand stability in homopolypeptides and its implications for the accuracy of the Amber force field Journal of Computational Chemistry ·Anna Jagielska, Jeffrey Skolnick	2007	10
16	The protein structure prediction problem could be solved using the current PDB library Proceedings of the National Academy of Sciences ·Yang Zhang, Jeffrey Skolnick	2005	212
17	Application of Sparse NMR Restraints to Large-Scale Protein Structure Prediction Biophysical Journal ·Wei Li, Yang Zhang, Jeffrey Skolnick	2004	33
18	Structure of Proteins : New Approach to Molecular Modeling Polish Journal of Chemistry ·Andrzej Koliński, Piotr Rotkiewicz, Jeffrey Skolnick	2001	1
19	From genes to protein structure and function: novel applications of computational approaches in the genomic era Trends in biotechnology ·Jeffrey Skolnick, Jacquelyn S. Fetrow	2000	122
20	MONSSTER: a method for folding globular proteins with a small number of distance restraints Journal of Molecular Biology ·Jeffrey Skolnick, Andrzej Koliński, Ángel R. Ortíz	1997	207

About Jeffrey Skolnick

Jeffrey Skolnick is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Physical and Theoretical Chemistry and Fluid Flow and Transfer Processes, having authored 384 papers that have together received 20.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (249 papers), Enzyme Structure and Function (147 papers), RNA and protein synthesis mechanisms (91 papers), Computational Drug Discovery Methods (52 papers), Machine Learning in Bioinformatics (49 papers), Glycosylation and Glycoproteins Research (25 papers), Genomics and Phylogenetic Studies (21 papers) and Bioinformatics and Genomic Networks (18 papers). The work is most often cited by research in Molecular Biology (16.6k citations), Computational Theory and Mathematics (2.9k citations), Materials Chemistry (8.3k citations), Physical and Theoretical Chemistry (1.1k citations) and Spectroscopy (1.6k citations). Jeffrey Skolnick has collaborated with scholars based in United States, Poland and Russia. Frequent co-authors include Andrzej Koliński, Yang Zhang, Mu Gao, Hongyi Zhou, Marshall Fixman, Adam Godzik, Michał Bryliński, Hui Lü, Jacquelyn S. Fetrow and Robert Yaris. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Macromolecules, The Journal of Chemical Physics, Biophysical Journal and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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