Aurélien Grosdidier

23 papers receiving 6.5k citations

Hit Papers

SwissTargetPrediction: a web server for target prediction of bioactive small molecules 2014 · 1.2k citations
1.2k201120262016202150010001.5k

Peers

Aurélien Grosdidier
Comparison fields: 5 of 151
  • Computational Theory and Mathematics 1.5k
  • Biological Psychiatry 214
  • Pharmacology 545
  • Molecular Biology 3.6k
  • Pharmacology 655
Replace Hai‐Bin Luo with:
Hai‐Bin Luo China
Xu Shen China
Edward H. Kerns United States
Asimul Islam India
Giulio Vistoli Italy
Giulio Rastelli Italy
Stefano Forli United States
Stanislav Gobec Slovenia
Stefano Alcaro Italy
Aurélien Grosdidier relative to Hai‐Bin Luo China Hai‐Bin Luo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aurélien Grosdidier

Since Specialization
Citations

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

Fields of papers citing papers by Aurélien Grosdidier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
SwissTargetPrediction: a web server for target prediction of bioactive small molecules
Hit paper breakdown →
20141215
2 2012148
3 201123
4 2011393
5 201120
6
SwissDock, a protein-small molecule docking web service based on EADock DSS
Hit paper breakdown →
20111420
7
SwissParam: A fast force field generation tool for small organic molecules
Hit paper breakdown →
20111706
8 201030
9 2009127
10 200945
11 200935
12 20084
13 200826
14 200730
15 2007288
16 2007156
17 2007293
18 200468
19 200340
20 2001185

About Aurélien Grosdidier

Aurélien Grosdidier is a scholar working on Biological Psychiatry, Computational Theory and Mathematics, Molecular Biology, Behavioral Neuroscience and Oncology, having authored 23 papers that have together received 6.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (7 papers), Adipose Tissue and Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Glycosylation and Glycoproteins Research (2 papers), Chemical Synthesis and Analysis (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Biological Psychiatry (214 citations), Pharmacology (545 citations), Molecular Biology (3.6k citations) and Pharmacology (655 citations). Aurélien Grosdidier has collaborated with scholars based in Switzerland, France and Belgium. Frequent co-authors include Olivier Michielin, Vincent Zoete, Michel A. Cuendet, Matthias Wirth, David Gfeller, Antoine Daina, Hugues Lortat‐Jacob, Anne Imberty, Rabia Sadir and Françoise Baleux. Their work appears in journals such as Journal of Computational Chemistry, Journal of Biological Chemistry, Journal of Medicinal Chemistry, Nucleic Acids Research and PLoS ONE.

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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