Raphaël Geney

859 citations
14 papers · 695 indexed · h-index 12

Impact in

  • Oncology top 10%
    • Cancer Treatment and Pharmacology
    • Cytokine Signaling Pathways and Interactions
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • DNA and Nucleic Acid Chemistry

Papers in

    • Cancer Treatment and Pharmacology 8
    • Drug Transport and Resistance Mechanisms 2

Raphaël Geney

14 papers receiving 683 citations

Peers

Raphaël Geney
Comparison fields: 5 of 87
  • Oncology 250
  • Molecular Biology 403
  • Organic Chemistry 146
  • Cell Biology 81
  • Genetics 52
Replace Katrin Spiegel with:
Katrin Spiegel United States
Marc Adler United States
Ellen R. Laird United States
A. Kuglstatter Switzerland
Kenji Morikami United States
John Eksterowicz United States
Mark E. Schnute United States
Matthias Dreyer Germany
Kenneth M. Comess United States
Cristina Lewis United States
Raphaël Geney relative to Katrin Spiegel United States Katrin Spiegel's profile →
Citations per field
00.5×2.7×
Katrin Spiegel · 1×
Citations per year

Countries citing papers authored by Raphaël Geney

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Geney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 201493
2 201361
3 201374
4 200817
5 2006115
6 200564
7 200541
8 200599
9 200425
10
BMS-184476 Bristol-Myers Squibb.
20033
11
109881 Aventis.
20031
12 200264
13 200217
14 200221

About Raphaël Geney

Raphaël Geney is a scholar working on Oncology, Genetics, Organic Chemistry, Rheumatology and Cell Biology, having authored 14 papers that have together received 695 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (8 papers), Synthetic Organic Chemistry Methods (3 papers), Cancer therapeutics and mechanisms (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Protein Structure and Dynamics (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Microtubule and mitosis dynamics (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). The work is most often cited by research in Oncology (250 citations), Molecular Biology (403 citations), Organic Chemistry (146 citations), Cell Biology (81 citations) and Genetics (52 citations). Raphaël Geney has collaborated with scholars based in United States and Belgium. Frequent co-authors include Iwao Ojima, Christel Menet, Carlos Simmerling, Viktor Horn̆ák, Luc Van Rompaey, Roberto Gomperts, Kun Song, Lauren Wickstrom, Asim Okur and Ralph J. Bernacki. Their work appears in journals such as Journal of Chemical Theory and Computation, IUBMB Life, Clinical Chemistry and Laboratory Medicine (CCLM), Bioorganic & Medicinal Chemistry Letters and Journal of Medicinal Chemistry.

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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