C Saudan

48 papers receiving 2.3k citations

Peers

C Saudan
Comparison fields: 5 of 118
  • Endocrinology, Diabetes and Metabolism 744
  • Process Chemistry and Technology 125
  • Inorganic Chemistry 489
  • Toxicology 109
  • Cell Biology 365
Replace Tina L. Amyes with:
Tina L. Amyes United States
Andrew Williams United Kingdom
Andrzej Wojtczak Poland
John C. Sheehan United States
Cynthia A. Maryanoff United States
Oliver B. Sutcliffe United Kingdom
Jack Z. Gougoutas United States
Paul Helquist United States
Babak Borhan United States
Hidetoshi Tokuyama Japan
C Saudan relative to Tina L. Amyes United States Tina L. Amyes's profile →
Citations per field
00.5×8.7×
Tina L. Amyes · 1×
Citations per year

Countries citing papers authored by C Saudan

Since Specialization
Citations

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

Fields of papers citing papers by C Saudan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007213
2 2006125
3 2003123
4 2006120
5 2010113
6 1999110
7 2007101
8 200091
9 200780
10 200674
11 200170
12 200465
13 200465
14 200165
15 200064
16 200357
17 200357
18 200454
19 200844
20 200240

About C Saudan

C Saudan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Organic Chemistry, Cell Biology and Polymers and Plastics, having authored 49 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (19 papers), Dendrimers and Hyperbranched Polymers (7 papers), Muscle metabolism and nutrition (6 papers), Forensic Toxicology and Drug Analysis (6 papers), Asymmetric Hydrogenation and Catalysis (6 papers), Organometallic Complex Synthesis and Catalysis (6 papers), Pharmacological Effects and Assays (6 papers) and Pesticide Residue Analysis and Safety (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (744 citations), Process Chemistry and Technology (125 citations), Inorganic Chemistry (489 citations), Toxicology (109 citations) and Cell Biology (365 citations). C Saudan has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include Martial Saugy, N Baume, Patrice Mangin, Pierre‐Edouard Sottas, E. Peter Kündig, Lionel Saudan, Gérald Bernardinelli, Vincenzo Balzani, Mauro Maestri and André E. Merbach. Their work appears in journals such as British Journal of Sports Medicine, Journal of Chromatography B, Journal of the American Chemical Society, Forensic Science International and Angewandte Chemie International Edition.

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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