Jérôme Eberhardt

7.2k total citations · 1 hit paper
19 papers, 3.9k citations indexed

About

Jérôme Eberhardt is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Jérôme Eberhardt has authored 19 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 7 papers in Materials Chemistry. Recurrent topics in Jérôme Eberhardt's work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (9 papers) and Enzyme Structure and Function (4 papers). Jérôme Eberhardt is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (9 papers) and Enzyme Structure and Function (4 papers). Jérôme Eberhardt collaborates with scholars based in United States, Switzerland and Germany. Jérôme Eberhardt's co-authors include Stefano Forli, Diogo Santos‐Martins, Andreas F. Tillack, Janani Durairaj, Xavier Robin, Annick Dejaegere, Leonardo Solis-Vasquez, Andreas Koch, Torsten Schwede and Giulia Bianco and has published in prestigious journals such as Journal of Medicinal Chemistry, Nature Chemical Biology and Journal of Computational Chemistry.

In The Last Decade

Jérôme Eberhardt

17 papers receiving 3.9k 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.

AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings

2021 3.6k citations Jérôme Eberhardt, Diogo Santos‐Martins et al. Journal of Chemical Information and Modeling profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jérôme Eberhardt United States	11	2.0k	856	740	371	315	19	3.9k
Andreas F. Tillack United States	13	2.1k 1.0×	893 1.0×	749 1.0×	371 1.0×	308 1.0×	30	4.7k
V. Joachim Haupt Germany	19	2.1k 1.0×	1.1k 1.3×	647 0.9×	381 1.0×	280 0.9×	23	3.6k
Sebastian Salentin Germany	13	1.8k 0.9×	851 1.0×	608 0.8×	337 0.9×	250 0.8×	15	3.2k
Melissa F. Adasme Germany	11	1.9k 0.9×	1.1k 1.3×	600 0.8×	369 1.0×	279 0.9×	12	3.6k
Xuan-Yu Meng China	19	1.5k 0.8×	906 1.1×	617 0.8×	269 0.7×	254 0.8×	48	3.3k
Diogo Santos‐Martins United States	16	2.7k 1.3×	1.1k 1.3×	1.0k 1.4×	474 1.3×	421 1.3×	30	5.0k
Keun Woo Lee South Korea	35	2.4k 1.2×	1.1k 1.3×	753 1.0×	420 1.1×	399 1.3×	200	4.3k
Rajendra Kumar Sweden	12	2.3k 1.1×	1.1k 1.3×	748 1.0×	347 0.9×	389 1.2×	20	4.1k
Alessandro Pedretti Italy	28	1.8k 0.9×	884 1.0×	891 1.2×	310 0.8×	241 0.8×	120	3.6k
Afzal Hussain Saudi Arabia	34	1.5k 0.7×	675 0.8×	487 0.7×	308 0.8×	324 1.0×	137	3.2k

Countries citing papers authored by Jérôme Eberhardt

Since Specialization

Citations

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

Fields of papers citing papers by Jérôme Eberhardt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jérôme Eberhardt. 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 Jérôme Eberhardt. The network helps show where Jérôme Eberhardt may publish in the future.

Co-authorship network of co-authors of Jérôme Eberhardt

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Eberhardt. A scholar is included among the top collaborators of Jérôme Eberhardt 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 Jérôme Eberhardt. Jérôme Eberhardt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Gilson, Michael K., et al.. (2025). Assessment of Pharmaceutical Protein–Ligand Pose and Affinity Predictions in CASP16. Proteins Structure Function and Bioinformatics. 94(1). 249–266. 2 indexed citations

Santos‐Martins, Diogo, Jérôme Eberhardt, Matthew Holcomb, et al.. (2025). Meeko: Molecule Parametrization and Software Interoperability for Docking and Beyond. Journal of Chemical Information and Modeling. 65(24). 13045–13050.

Boatner, Lisa M., Jérôme Eberhardt, Matthew Holcomb, et al.. (2025). CIAA: Integrated Proteomics and Structural Modeling for Understanding Cysteine Reactivity with Iodoacetamide Alkyne. ACS Chemical Biology. 20(7). 1669–1682.

Eberhardt, Jérôme, Matthew Holcomb, Monica L. Fernández‐Quintero, et al.. (2024). CosolvKit: a Versatile Tool for Cosolvent MD Preparation and Analysis. Journal of Chemical Information and Modeling. 64(21). 8227–8235. 1 indexed citations

Eberhardt, Jérôme, et al.. (2023). Automated benchmarking of combined protein structure and ligand conformation prediction. Proteins Structure Function and Bioinformatics. 91(12). 1912–1924. 12 indexed citations

Robin, Xavier, Gabriel Studer, Janani Durairaj, et al.. (2023). Assessment of protein–ligand complexes in CASP15. Proteins Structure Function and Bioinformatics. 91(12). 1811–1821. 25 indexed citations

Kryshtafovych, Andriy, Maciej Antczak, Marta Szachniuk, et al.. (2023). New prediction categories in CASP15. Proteins Structure Function and Bioinformatics. 91(12). 1550–1557. 37 indexed citations

Eberhardt, Jérôme & Stefano Forli. (2023). WaterKit: Thermodynamic Profiling of Protein Hydration Sites. Journal of Chemical Theory and Computation. 19(9). 2535–2556. 4 indexed citations

Eberhardt, Jérôme, Diogo Santos‐Martins, Andreas F. Tillack, & Stefano Forli. (2021). AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings. Journal of Chemical Information and Modeling. 61(8). 3891–3898. 3596 indexed citations breakdown →

10.

Kok, Bernard P., Seiya Kitamura, Jérôme Eberhardt, et al.. (2020). Discovery of small-molecule enzyme activators by activity-based protein profiling. Nature Chemical Biology. 16(9). 997–1005. 40 indexed citations

11.

Solis-Vasquez, Leonardo, Diogo Santos‐Martins, Andreas F. Tillack, et al.. (2020). Parallelizing Irregular Computations for Molecular Docking. 12–21. 6 indexed citations

12.

Eberhardt, Jérôme, Gonzalo E. González‐Páez, Benjamin F. Cravatt, et al.. (2020). Integrative X-ray Structure and Molecular Modeling for the Rationalization of Procaspase-8 Inhibitor Potency and Selectivity. ACS Chemical Biology. 15(2). 575–586. 8 indexed citations

13.

Mosure, Sarah A., Jinsai Shang, Jérôme Eberhardt, et al.. (2019). Structural Basis of Altered Potency and Efficacy Displayed by a Major in Vivo Metabolite of the Antidiabetic PPARγ Drug Pioglitazone. Journal of Medicinal Chemistry. 62(4). 2008–2023. 30 indexed citations

14.

Santos‐Martins, Diogo, Jérôme Eberhardt, Giulia Bianco, et al.. (2019). Comparison of affinity ranking using AutoDock-GPU and MM-GBSA scores for BACE-1 inhibitors in the D3R Grand Challenge 4. Journal of Computer-Aided Molecular Design. 33(12). 1011–1020. 53 indexed citations

15.

Santos‐Martins, Diogo, Jérôme Eberhardt, Giulia Bianco, et al.. (2019). D3R Grand Challenge 4: prospective pose prediction of BACE1 ligands with AutoDock-GPU. Journal of Computer-Aided Molecular Design. 33(12). 1071–1081. 14 indexed citations

16.

Eberhardt, Jérôme, Alastair G. McEwen, William Bourguet, Dino Moras, & Annick Dejaegere. (2019). A revisited version of the apo structure of the ligand-binding domain of the human nuclear receptor retinoic X receptor α. Acta Crystallographica Section F Structural Biology Communications. 75(2). 98–104. 13 indexed citations

17.

Kanaji, Sachiko, Jennifer N. Orje, Taisuke Kanaji, et al.. (2018). Humanized GPIbα–von Willebrand factor interaction in the mouse. Blood Advances. 2(19). 2522–2532. 12 indexed citations

18.

Eberhardt, Jérôme, Roland H. Stote, & Annick Dejaegere. (2018). Unrolr: Structural analysis of protein conformations using stochastic proximity embedding. Journal of Computational Chemistry. 39(30). 2551–2557. 2 indexed citations

19.

Belorusova, Anna Y., Jérôme Eberhardt, Noëlle Potier, et al.. (2014). Structural Insights into the Molecular Mechanism of Vitamin D Receptor Activation by Lithocholic Acid Involving a New Mode of Ligand Recognition. Journal of Medicinal Chemistry. 57(11). 4710–4719. 37 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.

Explore authors with similar magnitude of impact