Jérôme Eberhardt

8.6k citations
21 papers · 5.5k · 1 hit paper · h-index 12

Impact in

Papers in

Jérôme Eberhardt

21 papers receiving 5.4k citations

Jérôme Eberhardt's Hit Papers

AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings 2021 · 4.8k citations
4.8k0+1+3Years since publication10002.0k3.0k4.0k

Peers

Jérôme Eberhardt
Comparison fields: 5 of 109
  • Computational Theory and Mathematics 1.1k
  • Molecular Biology 980
  • Pharmacology 163
  • Organic Chemistry 274
  • Molecular Medicine 39
Replace Diogo Santos‐Martins with:
Diogo Santos‐Martins United States
Meng Cui United States
Aurélien Grosdidier Switzerland
Taj Mohammad India
Giulio Rastelli Italy
Asimul Islam India
Fang Bai China
Douglas E. V. Pires Australia
Dharmendra Kumar Yadav India
Melissa F. Adasme Germany
Jérôme Eberhardt relative to Diogo Santos‐Martins United States Diogo Santos‐Martins's profile →
Citations per field
00.5×1.5×
Diogo Santos‐Martins · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jérôme Eberhardt, 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 Jérôme Eberhardt Line = papers co-authored together Jérôme Eberhardt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings
Hit paper breakdown →
20214840
2 2019298
3 201962
4 202044
5 202343
6 201441
7 201933
8 202331
9 201917
10 201915
11 202315
12 201814
13 202011
14 202510
15 20238
16 20206
17 20256
18 20253
19 20263
20 20182

About Jérôme Eberhardt

Jérôme Eberhardt is a scholar working on Computational Theory and Mathematics, Molecular Biology, Hardware and Architecture, Hematology and Nuclear Energy and Engineering, having authored 21 papers that have together received 5.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (6 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Platelet Disorders and Treatments (1 paper), Cell death mechanisms and regulation (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Molecular Biology (980 citations), Pharmacology (163 citations), Organic Chemistry (274 citations) and Molecular Medicine (39 citations). Jérôme Eberhardt has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Stefano Forli, Diogo Santos‐Martins, Andreas F. Tillack, Xavier Robin, Janani Durairaj, Torsten F. Schwede, Annick P. Dejaegere, Andreas Koch, Leonardo Solis-Vasquez and Francesca Alessandra Ambrosio. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Journal of Computer-Aided Molecular Design and ACS Chemical Biology.

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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