Marc Venet
Impact in
- Genetics top 5%
- Genetic and Kidney Cyst Diseases
- Estrogen and related hormone effects
- Genetic Syndromes and Imprinting
- Organic Chemistry top 10%
- Catalytic C–H Functionalization Methods
- Synthesis and biological activity
Papers in
-
- Retinoids in leukemia and cellular processes 5
- Protein Kinase Regulation and GTPase Signaling 2
- Genetics 5
- Estrogen and related hormone effects 4
- Co-authors
- Patrick Angibaud (6 shared papers)Gérard Sanz (6 shared papers)David W. End (5 shared papers)Walter Wouters (8 shared papers)Jacky Van Dun (7 shared papers)Philippe Müller (3 shared papers)Eddy Freyne (6 shared papers)D End (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Journal of Medicinal Chemistry (1 paper)European Journal of Medicinal Chemistry (1 paper)The Journal of Steroid Biochemistry and Molecular Biology (1 paper)
- Partner nations
- United StatesFranceBelgium
In The Last Decade
Marc Venet
16 papers receiving 844 citations
Peers
Comparison fields: 5 of 76
- Genetics 340
- Organic Chemistry 277
- Biochemistry 41
- Molecular Biology 447
- Toxicology 15
Countries citing papers authored by Marc Venet
This map shows the geographic impact of Marc Venet'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 Marc Venet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Venet more than expected).
Fields of papers citing papers by Marc Venet
This network shows the impact of papers produced by Marc Venet. 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 Marc Venet. The network helps show where Marc Venet may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Venet, 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 | 1995 | 198 | |
| 2 | 2004 | 111 | |
| 3 | 2000 | 95 | |
| 4 | 2005 | 82 | |
| 5 | 1989 | 76 | |
| 6 | 2002 | 75 | |
| 7 | 2003 | 58 | |
| 8 | 1988 | 33 | |
| 9 | 1990 | 30 | |
| 10 | 1988 | 28 | |
| 11 | 2003 | 26 | |
| 12 | 2003 | 19 | |
| 13 | 1998 | 17 | |
| 14 | 2003 | 13 | |
| 15 | 2007 | 7 | |
| 16 | 1982 | 2 |
About Marc Venet
Marc Venet is a scholar working on Molecular Biology, Genetics, Organic Chemistry, Oncology and Pharmacology, having authored 16 papers that have together received 870 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (5 papers), Estrogen and related hormone effects (4 papers), Cancer-related Molecular Pathways (3 papers), Click Chemistry and Applications (2 papers), Quinazolinone synthesis and applications (2 papers), Cancer Treatment and Pharmacology (2 papers), Reproductive System and Pregnancy (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Genetics (340 citations), Organic Chemistry (277 citations), Biochemistry (41 citations), Molecular Biology (447 citations) and Toxicology (15 citations). Marc Venet has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Patrick Angibaud, Gérard Sanz, David W. End, Walter Wouters, Jacky Van Dun, Philippe Müller, Eddy Freyne, D End, Glenn A. Miller and Feng Qian. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry and The Journal of Steroid Biochemistry and Molecular Biology.
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.