C. Paris
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
-
- Epigenetics and DNA Methylation
- Protein Structure and Dynamics
- Cancer-related gene regulation
- Polyamine Metabolism and Applications
- Protein Degradation and Inhibitors
Papers in
-
- Chemical Synthesis and Analysis 3
- Protein Structure and Dynamics 2
-
- Analytical Chemistry and Chromatography 2
- Co-authors
- Boris Magasanik (3 shared papers)Carlo M. Nalin (2 shared papers)Wolfgang Jahnke (2 shared papers)Lawrence Perez (2 shared papers)Catherine Lange (4 shared papers)Michael J. Prival (1 shared paper)Albert B. DeLeo (1 shared paper)B Tyler (1 shared paper)
- Journals
- Journal of Bacteriology (2 papers)Rapid Communications in Mass Spectrometry (2 papers)ACS Chemical Biology (1 paper)Oncogene (1 paper)Current Topics in Medicinal Chemistry (1 paper)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
C. Paris
18 papers receiving 630 citations
Peers
Comparison fields: 5 of 83
- Biochemistry 58
- Molecular Biology 515
- Computational Theory and Mathematics 81
- Spectroscopy 74
- Cancer Research 51
Countries citing papers authored by C. Paris
This map shows the geographic impact of C. Paris'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 C. Paris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Paris more than expected).
Fields of papers citing papers by C. Paris
This network shows the impact of papers produced by C. Paris. 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 C. Paris. The network helps show where C. Paris may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Paris, 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 | 2015 | 117 | |
| 2 | 1974 | 109 | |
| 3 | 2013 | 89 | |
| 4 | 2000 | 79 | |
| 5 | 2003 | 58 | |
| 6 | 2016 | 38 | |
| 7 | 2011 | 38 | |
| 8 | 1997 | 37 | |
| 9 | 1981 | 32 | |
| 10 | 1981 | 24 | |
| 11 | 1993 | 22 | |
| 12 | 1992 | 15 | |
| 13 | 1995 | 13 | |
| 14 | 1972 | 13 | |
| 15 | 1994 | 12 | |
| 16 | 1992 | 12 | |
| 17 | 1996 | 6 | |
| 18 | 1991 | 3 | |
| 19 | 2000 | 0 |
About C. Paris
C. Paris is a scholar working on Molecular Biology, Spectroscopy, Organic Chemistry, Computational Theory and Mathematics and Genetics, having authored 19 papers that have together received 717 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Chemical Synthesis and Analysis (3 papers), Insect and Pesticide Research (3 papers), Protein Structure and Dynamics (2 papers), Enzyme Structure and Function (2 papers), Beetle Biology and Toxicology Studies (2 papers), Analytical Chemistry and Chromatography (2 papers) and Venomous Animal Envenomation and Studies (2 papers). The work is most often cited by research in Biochemistry (58 citations), Molecular Biology (515 citations), Computational Theory and Mathematics (81 citations), Spectroscopy (74 citations) and Cancer Research (51 citations). C. Paris has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Boris Magasanik, Carlo M. Nalin, Wolfgang Jahnke, Lawrence Perez, Catherine Lange, Michael J. Prival, Albert B. DeLeo, B Tyler, André Strauss and Gabriele Fendrich. Their work appears in journals such as Journal of Bacteriology, Rapid Communications in Mass Spectrometry, ACS Chemical Biology, Oncogene and Current Topics in 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.