Raphaël Geney
Impact in
- Oncology top 10%
- Cancer Treatment and Pharmacology
- Cytokine Signaling Pathways and Interactions
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
Papers in
- Oncology 11
- Cancer Treatment and Pharmacology 8
- Cytokine Signaling Pathways and Interactions 2
- Drug Transport and Resistance Mechanisms 2
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- Cancer therapeutics and mechanisms 2
- Co-authors
- Iwao Ojima (9 shared papers)Christel Menet (3 shared papers)Carlos Simmerling (4 shared papers)Viktor Horn̆ák (2 shared papers)Luc Van Rompaey (2 shared papers)Roberto Gomperts (1 shared paper)Lauren Wickstrom (1 shared paper)Kun Song (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (2 papers)IUBMB Life (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesBelgium
In The Last Decade
Raphaël Geney
14 papers receiving 683 citations
Peers
Comparison fields: 5 of 87
- Oncology 250
- Molecular Biology 403
- Organic Chemistry 146
- Cell Biology 81
- Genetics 52
Countries citing papers authored by Raphaël Geney
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
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-authors
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 115 | |
| 2 | 2005 | 99 | |
| 3 | 2014 | 93 | |
| 4 | 2013 | 74 | |
| 5 | 2002 | 64 | |
| 6 | 2005 | 64 | |
| 7 | 2013 | 61 | |
| 8 | 2005 | 41 | |
| 9 | 2004 | 25 | |
| 10 | 2002 | 21 | |
| 11 | 2002 | 17 | |
| 12 | 2008 | 17 | |
| 13 | BMS-184476 Bristol-Myers Squibb. | 2003 | 3 |
| 14 | 109881 Aventis. | 2003 | 1 |
About Raphaël Geney
Raphaël Geney is a scholar working on Oncology, Molecular Biology, Organic Chemistry, Genetics and Atomic and Molecular Physics, and Optics, 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), Cytokine Signaling Pathways and Interactions (2 papers), Microtubule and mitosis dynamics (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Cancer therapeutics and mechanisms (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and Drug Transport and Resistance Mechanisms (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, Lauren Wickstrom, Kun Song, Asim Okur and Paula Pera. 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.