Jérémy Besnard

3.3k citations
10 papers · 1.6k indexed · 1 hit paper · h-index 6
Topics
Computational Drug Discovery Methods (3 papers)Advanced Breast Cancer Therapies (2 papers)Receptor Mechanisms and Signaling (2 papers)

In The Last Decade

Jérémy Besnard

10 papers receiving 1.5k citations

Hit Papers

Quantifying the chemical beauty of drugs201220262016202120124008001.2k

Peers

Jérémy Besnard
Comparison fields: 5 of 115
  • Computational Theory and Mathematics 925
  • Molecular Biology 863
  • Materials Chemistry 355
  • Organic Chemistry 297
  • Pharmacology 176
Replace G. Richard Bickerton with:
G. Richard Bickerton United Kingdom
Edward W. Lowe United States
Gregory Sliwoski United States
Vinícius Gonçalves Maltarollo Brazil
Sandeepkumar Kothiwale United States
Andrea Volkamer Germany
Ines Smit United Kingdom
David Méndez Colombia
Allison K. Doak United States
Elena Cibrián–Uhalte Germany
Jérémy Besnard relative to G. Richard Bickerton United Kingdom G. Richard Bickerton's profile →
Citations per field
00.5×1.5×
G. Richard Bickerton · 1×
Citations per year

Countries citing papers authored by Jérémy Besnard

Since Specialization
Citations

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

Fields of papers citing papers by Jérémy Besnard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérémy Besnard

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 4
3 1
4 18
5 3
6 27
7 53
8 47
9
Quantifying the chemical beauty of drugsbreakdown →
1362
10 75

About Jérémy Besnard

Jérémy Besnard is a scholar working on Physiology, Computational Theory and Mathematics and Parasitology, having authored 10 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Advanced Breast Cancer Therapies (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Computational Theory and Mathematics (925 citations), Pharmacology (148 citations) and Molecular Biology (863 citations). Jérémy Besnard has collaborated with scholars based in United Kingdom, Netherlands and Sweden. Frequent co-authors include Andrew L. Hopkins, G. Richard Bickerton, Sorel Mureşan, Gaia V. Paolini, Iva Navrátilová, Philip S. Jones, Andrew Pannifer, Ian H. Gilbert, Ross A. Paveley and Robert J. Lefkowitz. Their work appears in journals such as Cancer Research, Nature Chemistry and Annals of Oncology.

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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