C. Paris

852 citations
18 papers · 645 indexed · h-index 13

Impact in

  • Biochemistry top 10%
    • Amino Acid Enzymes and Metabolism
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • Polyamine Metabolism and Applications
    • Protein Structure and Dynamics
    • RNA modifications and cancer

Papers in

C. Paris

17 papers receiving 569 citations

Peers

C. Paris
Comparison fields: 5 of 76
  • Biochemistry 52
  • Molecular Biology 475
  • Spectroscopy 68
  • Computational Theory and Mathematics 63
  • Cancer Research 45
Replace Todd M. Larsen with:
Todd M. Larsen United States
Kutbuddin S. Doctor United States
Sebastian Radestock Germany
Line Cantin Canada
M M Yamashita United States
S.A. Gillmor United States
Steven Fung United States
Margret Ryan United States
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C. Paris relative to Todd M. Larsen United States Todd M. Larsen's profile →
Citations per field
00.5×1.5×2.4×
Todd M. Larsen · 1×
Citations per year

Countries citing papers authored by C. Paris

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with C. Paris Line = papers co-authored together C. Paris links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201634
2 2015107
3 201388
4 201136
5 200347
6 20000
7 200068
8 199734
9 199512
10 199411
11 199320
12 199212
13 199214
14 19913
15 198131
16 198123
17 197493
18 197212

About C. Paris

C. Paris is a scholar working on Spectroscopy, Insect Science, Computational Theory and Mathematics, Pharmaceutical Science and Clinical Biochemistry, having authored 18 papers that have together received 645 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Chemical Synthesis and Analysis (3 papers), Insect and Pesticide Research (3 papers), Analytical Chemistry and Chromatography (2 papers), Beetle Biology and Toxicology Studies (2 papers), Venomous Animal Envenomation and Studies (2 papers), Metabolism and Genetic Disorders (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Biochemistry (52 citations), Molecular Biology (475 citations), Spectroscopy (68 citations), Computational Theory and Mathematics (63 citations) and Cancer Research (45 citations). C. Paris has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Boris Magasanik, Wolfgang Jahnke, Carlo M. Nalin, Lawrence Perez, Catherine Lange, Michael J. Prival, B Tyler, Gabriele Fendrich, Nina C. Gonnella and André Strauss. Their work appears in journals such as Journal of Bacteriology, Rapid Communications in Mass Spectrometry, Current Topics in Medicinal Chemistry, Journal of the American Chemical Society and International Journal of Mass Spectrometry.

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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