Raphaël Rahmani

1.3k citations
25 papers · 937 indexed · h-index 14

Raphaël Rahmani

25 papers receiving 924 citations

Peers

Raphaël Rahmani
Comparison fields: 5 of 103
  • Pharmacology 112
  • Cellular and Molecular Neuroscience 172
  • Organic Chemistry 257
  • Computational Theory and Mathematics 117
  • Molecular Biology 503
Replace Richard Svensson with:
Richard Svensson Sweden
Marcel Bermúdez Germany
Synèse Jolidon Switzerland
Raffaello Masciadri Switzerland
R. P. Bywater United Kingdom
Yui S. Tang United States
Marco L. Lolli Italy
Thomas Ryckmans United Kingdom
Patrizio Mattei Switzerland
Mattia Sturlese Italy
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Citations per year

Countries citing papers authored by Raphaël Rahmani

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Rahmani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 201953
3 201918
4 20169
5 201612
6 201517
7 201513
8 20141
9 201452
10 20146
11 201413
12 201323
13 201330
14 2013328
15 201216
16 20125
17 201017
18 200979
19 200042
20
Involvement of human liver cytochrome P450 3A in vinblastine metabolism: drug interactions.
1993124

About Raphaël Rahmani

Raphaël Rahmani is a scholar working on Toxicology, Pharmacology, Organic Chemistry, Epidemiology and Biochemistry, having authored 25 papers that have together received 937 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (8 papers), Research on Leishmaniasis Studies (6 papers), Synthesis and Biological Evaluation (6 papers), Biochemical and Molecular Research (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Receptor Mechanisms and Signaling (3 papers), HIV/AIDS drug development and treatment (3 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Pharmacology (112 citations), Cellular and Molecular Neuroscience (172 citations), Organic Chemistry (257 citations), Computational Theory and Mathematics (117 citations) and Molecular Biology (503 citations). Raphaël Rahmani has collaborated with scholars based in Australia, China and France. Frequent co-authors include Jonathan B. Baell, Céline Valant, Patrick M. Sexton, Arthur Christopoulos, Ron O. Dror, David W. Borhani, Meritxell Canals, David E. Shaw, James R. Valcourt and J. Robert Lane. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Organic & Biomolecular Chemistry, ACS Medicinal Chemistry Letters and Chemistry - An Asian Journal.

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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