Steven V. Jerome

2.6k total citations · 3 hit papers
18 papers, 1.7k citations indexed

About

Steven V. Jerome is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Steven V. Jerome has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 8 papers in Molecular Biology and 5 papers in Organic Chemistry. Recurrent topics in Steven V. Jerome's work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Materials Science (4 papers). Steven V. Jerome is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Materials Science (4 papers). Steven V. Jerome collaborates with scholars based in United States, Belgium and Australia. Steven V. Jerome's co-authors include Christopher J. Cramer, Donald G. Truhlar, Aleksandr V. Marenich, Richard A. Friesner, Matthew P. Repasky, Robert Abel, Karl Leswing, Kun Yao, Brian K. Shoichet and Yang Ying and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Steven V. Jerome

17 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Charge Model 5: An Extension of Hirshfeld Population Analysis for the Accurate Description of Molecular Interactions in Gaseous and Condensed Phases

2012 767 citations Aleksandr V. Marenich, Steven V. Jerome et al. Journal of Chemical Theory and Computation profile →
Efficient Exploration of Chemical Space with Docking and Deep Learning

2021 228 citations Yang Ying, Kun Yao et al. Journal of Chemical Theory and Computation profile →
Epik: p K _a and Protonation State Prediction through Machine Learning

2023 130 citations Ryne C. Johnston, Kun Yao et al. Journal of Chemical Theory and Computation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Steven V. Jerome United States	12	625	450	444	430	280	18	1.7k
Arteum D. Bochevarov United States	15	578 0.9×	548 1.2×	840 1.9×	328 0.8×	321 1.1×	25	2.3k
David Rinaldo United States	9	556 0.9×	483 1.1×	663 1.5×	263 0.6×	132 0.5×	13	1.9k
Patric Schyman United States	19	487 0.8×	299 0.7×	429 1.0×	312 0.7×	202 0.7×	34	1.6k
Andreas H. Göller Germany	23	625 1.0×	399 0.9×	519 1.2×	675 1.6×	94 0.3×	56	1.7k
Thomas F. Hughes United States	16	514 0.8×	653 1.5×	721 1.6×	305 0.7×	270 1.0×	35	2.4k
A. Srinivas Reddy India	17	597 1.0×	244 0.5×	500 1.1×	388 0.9×	205 0.7×	35	1.6k
Dale A. Braden United States	16	454 0.7×	471 1.0×	713 1.6×	198 0.5×	287 1.0×	28	2.0k
Loriano Storchi Italy	20	324 0.5×	258 0.6×	264 0.6×	275 0.6×	347 1.2×	70	1.3k
Paul Beroza United States	21	1.2k 2.0×	276 0.6×	267 0.6×	362 0.8×	384 1.4×	32	1.8k
Lina Ding China	21	947 1.5×	405 0.9×	654 1.5×	114 0.3×	302 1.1×	56	2.4k

Countries citing papers authored by Steven V. Jerome

Since Specialization

Citations

This map shows the geographic impact of Steven V. Jerome'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 Steven V. Jerome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven V. Jerome more than expected).

Fields of papers citing papers by Steven V. Jerome

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven V. Jerome. 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 Steven V. Jerome. The network helps show where Steven V. Jerome may publish in the future.

Co-authorship network of co-authors of Steven V. Jerome

This figure shows the co-authorship network connecting the top 25 collaborators of Steven V. Jerome. A scholar is included among the top collaborators of Steven V. Jerome based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven V. Jerome. Steven V. Jerome is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Abramyan, Ara M., Wei Chen, Yi Xiong, et al.. (2025). Enabling In-Silico Hit Discovery Workflows Targeting RNA with Small Molecules. Journal of Chemical Information and Modeling. 65(14). 7393–7398.

Gkeka, Paraskevi, Fredrik Svensson, Carlos Roca, Marcel J. de Groot, & Steven V. Jerome. (2025). Computational Hit Finding: An Industry Perspective. Journal of Medicinal Chemistry. 68(11). 10507–10519. 1 indexed citations

Wu, Yujin, et al.. (2024). Identifying Artifacts from Large Library Docking. Journal of Medicinal Chemistry. 67(18). 16796–16806. 9 indexed citations

Johnston, Ryne C., Kun Yao, Karl Leswing, et al.. (2023). Epik: p K _a and Protonation State Prediction through Machine Learning. Journal of Chemical Theory and Computation. 19(8). 2380–2388. 130 indexed citations breakdown →

Chen, Wei, Steven V. Jerome, Mayako Michino, et al.. (2023). Enhancing Hit Discovery in Virtual Screening through Absolute Protein–Ligand Binding Free-Energy Calculations. Journal of Chemical Information and Modeling. 63(10). 3171–3185. 69 indexed citations

Michino, Mayako, Alexandre Beautrait, Nicholas A. Boyles, et al.. (2023). Shape-Based Virtual Screening of a Billion-Compound Library Identifies Mycobacterial Lipoamide Dehydrogenase Inhibitors. SHILAP Revista de lepidopterología. 3(6). 507–515. 7 indexed citations

Zhang, Yuqi, Márton Vass, Da Shi, et al.. (2023). Benchmarking Refined and Unrefined AlphaFold2 Structures for Hit Discovery. Journal of Chemical Information and Modeling. 63(6). 1656–1667. 64 indexed citations

Ying, Yang, Kun Yao, Matthew P. Repasky, et al.. (2021). Efficient Exploration of Chemical Space with Docking and Deep Learning. Journal of Chemical Theory and Computation. 17(11). 7106–7119. 228 indexed citations breakdown →

Miller, Edward B., Robert B. Murphy, Dan Sindhikara, et al.. (2021). Reliable and Accurate Solution to the Induced Fit Docking Problem for Protein–Ligand Binding. Journal of Chemical Theory and Computation. 17(4). 2630–2639. 104 indexed citations

10.

Cappel, Daniel, Steven V. Jerome, Gerhard Heßler, & Hans Matter. (2020). Impact of Different Automated Binding Pose Generation Approaches on Relative Binding Free Energy Simulations. Journal of Chemical Information and Modeling. 60(3). 1432–1444. 24 indexed citations

11.

Friesner, Richard A. & Steven V. Jerome. (2017). Localized orbital corrections for density functional calculations on transition metal containing systems. Coordination Chemistry Reviews. 344. 205–213. 9 indexed citations

12.

Jerome, Steven V., et al.. (2016). Evaluation of the Performance of the B3LYP, PBE0, and M06 DFT Functionals, and DBLOC-Corrected Versions, in the Calculation of Redox Potentials and Spin Splittings for Transition Metal Containing Systems. Journal of Chemical Theory and Computation. 12(3). 1121–1128. 68 indexed citations

13.

Murphy, Robert B., Matthew P. Repasky, Jeremy R. Greenwood, et al.. (2016). WScore: A Flexible and Accurate Treatment of Explicit Water Molecules in Ligand–Receptor Docking. Journal of Medicinal Chemistry. 59(9). 4364–4384. 64 indexed citations

14.

Jerome, Steven V., Thomas F. Hughes, & Richard A. Friesner. (2015). Successful application of the DBLOC method to the hydroxylation of camphor by cytochrome p450. Protein Science. 25(1). 277–285. 7 indexed citations

15.

Jerome, Steven V., Thomas F. Hughes, & Richard A. Friesner. (2014). Accurate pK_a Prediction in First-Row Hexaaqua Transition Metal Complexes Using the B3LYP-DBLOC Method. The Journal of Physical Chemistry B. 118(28). 8008–8016. 21 indexed citations

16.

Marenich, Aleksandr V., Steven V. Jerome, Christopher J. Cramer, & Donald G. Truhlar. (2012). Charge Model 5: An Extension of Hirshfeld Population Analysis for the Accurate Description of Molecular Interactions in Gaseous and Condensed Phases. Journal of Chemical Theory and Computation. 8(2). 527–541. 767 indexed citations breakdown →

17.

Krenske, Elizabeth H., et al.. (2012). Why a Proximity-Induced Diels–Alder Reaction Is So Fast. Organic Letters. 14(12). 3016–3019. 26 indexed citations

18.

Bogdan, Andrew R., Steven V. Jerome, K. N. Houk, & Keith James. (2011). Strained Cyclophane Macrocycles: Impact of Progressive Ring Size Reduction on Synthesis and Structure. Journal of the American Chemical Society. 134(4). 2127–2138. 74 indexed citations

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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