Camille G. Wermuth

5.6k citations
81 papers · 4.2k indexed · 1 hit paper · h-index 34
Topics
Neuroscience and Neuropharmacology Research (19 papers)Receptor Mechanisms and Signaling (18 papers)Phenothiazines and Benzothiazines Synthesis and Activities (14 papers)

In The Last Decade

Camille G. Wermuth

79 papers receiving 3.9k citations

Hit Papers

The synthesis and analytical use of a highly sensitive an...19742026199120081974200400600

Peers

Camille G. Wermuth
Comparison fields: 5 of 141
  • Molecular Biology 2.1k
  • Organic Chemistry 1.3k
  • Cellular and Molecular Neuroscience 1.2k
  • Computational Theory and Mathematics 519
  • Pharmacology 436
Replace Donal A. Walsh with:
Donal A. Walsh United States
Abdul H. Fauq United States
Claudia Binda Italy
Carlo Ballatore United States
Theodore M. Kamenecka United States
Jeffrey Grove France
Peter Hodder United States
Marı́a Isabel Loza Spain
László Ötvös United States
David R. Adams United Kingdom
Camille G. Wermuth relative to Donal A. Walsh United States Donal A. Walsh's profile →
Citations per field
00.5×3.4×
Donal A. Walsh · 1×
Citations per year

Countries citing papers authored by Camille G. Wermuth

Since Specialization
Citations

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

Fields of papers citing papers by Camille G. Wermuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Camille G. Wermuth. 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 Camille G. Wermuth. The network helps show where Camille G. Wermuth may publish in the future.

Co-authorship network of co-authors of Camille G. Wermuth

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 15
2 71
3 94
4 1
5 65
6 83
7 64
8 477
9 14
10 34
11 64
12 36
13 42
14 84
15 8
16 8
17 76
18 35
19 4
20 79

About Camille G. Wermuth

Camille G. Wermuth is a scholar working on Cellular and Molecular Neuroscience, Organic Chemistry and Biological Psychiatry, having authored 81 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Receptor Mechanisms and Signaling (18 papers) and Phenothiazines and Benzothiazines Synthesis and Activities (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Organic Chemistry (1.3k citations) and Computational Theory and Mathematics (519 citations). Camille G. Wermuth has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Joseph G. Bieth, Bernard Spiess, André Mann, Pierre Sokoloff, Kathleen Bizière, L. A. Mitscher, Per Lindberg, C. Robin Ganellin, Jean‐Charles Schwartz and Yveline Rival. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Brain Research.

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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