Alain‐Dominique Gorse

1.2k citations
27 papers · 926 indexed · h-index 15

Alain‐Dominique Gorse

27 papers receiving 900 citations

Peers

Alain‐Dominique Gorse
Comparison fields: 5 of 113
  • Physical and Theoretical Chemistry 165
  • Computational Theory and Mathematics 187
  • Microbiology 67
  • Spectroscopy 140
  • Molecular Biology 401
Replace Ramasubbu Sankararamakrishnan with:
Ramasubbu Sankararamakrishnan India
Atsuo Tamura Japan
Mafalda Nina Canada
Piotr Setny Poland
Callum J. Dickson United Kingdom
Neri Niccolai Italy
Jane R. Allison New Zealand
Benjamin D. Madej United States
William E. Meador United States
M.G. Iadanza United Kingdom
Alain‐Dominique Gorse relative to Ramasubbu Sankararamakrishnan India Ramasubbu Sankararamakrishnan's profile →
Citations per field
00.5×3.2×
Ramasubbu Sankararamakrishnan · 1×
Citations per year

Countries citing papers authored by Alain‐Dominique Gorse

Since Specialization
Citations

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

Fields of papers citing papers by Alain‐Dominique Gorse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alain‐Dominique Gorse. 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 Alain‐Dominique Gorse. The network helps show where Alain‐Dominique Gorse may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20245
3 20223
4 202011
5 20191
6 20191
7 20192
8 201540
9 201541
10 201521
11 201511
12 201316
13 2010136
14 200718
15 200580
16 200267
17 200026
18 199730
19 1995141
20 199371

About Alain‐Dominique Gorse

Alain‐Dominique Gorse is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Spectroscopy, having authored 27 papers that have together received 926 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Analytical Chemistry and Chromatography (4 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Photochemistry and Electron Transfer Studies (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Ethics in Clinical Research (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (165 citations), Computational Theory and Mathematics (187 citations) and Microbiology (67 citations). Alain‐Dominique Gorse has collaborated with scholars based in Australia, France and United Kingdom. Frequent co-authors include M. Pesquer, Quentin Kaas, Pierre-Alain Chaumeil, Volker Herzig, Glenn F. King, Roger Lahana, Dominique Cavagnat, Christine Lapouge, Greta J. Binford and David Wood. Their work appears in journals such as Nucleic Acids Research, Bioinformatics 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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