Bernard Testa

21 papers receiving 879 citations

Peers

Bernard Testa
Comparison fields: 5 of 98
  • Pharmaceutical Science 77
  • Spectroscopy 189
  • Pharmacology 71
  • Computational Theory and Mathematics 147
  • Analytical Chemistry 79
Replace Pierre‐Alain Carrupt with:
Pierre‐Alain Carrupt Switzerland
Françoise Brée France
Alicja Nowaczyk Poland
Susan Petusky United States
P. Y. C. JOW United States
Simone Braggio Italy
Zdzisław Chilmończyk Poland
Yohannes Teffera United States
Robert A. Scherrer United States
Alessandra Pagliara Switzerland
Bernard Testa relative to Pierre‐Alain Carrupt Switzerland Pierre‐Alain Carrupt's profile →
Citations per field
00.5×1.5×
Pierre‐Alain Carrupt · 1×
Citations per year

Countries citing papers authored by Bernard Testa

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Testa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993189
2 1998119
3 199372
4 200070
5 198756
6 199556
7 200043
8 199537
9 199535
10 198935
11 199333
12 199233
13 199123
14 198723
15 198821
16 198919
17 199618
18 198816
19 199313
20 200012

About Bernard Testa

Bernard Testa is a scholar working on Organic Chemistry, Molecular Biology, Spectroscopy, Computational Theory and Mathematics and Pharmacology, having authored 21 papers that have together received 933 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (7 papers), Computational Drug Discovery Methods (5 papers), Pharmacogenetics and Drug Metabolism (3 papers), Free Radicals and Antioxidants (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Phytochemistry and Biological Activities (2 papers), Chromatography in Natural Products (2 papers) and Chemical Reaction Mechanisms (2 papers). The work is most often cited by research in Pharmaceutical Science (77 citations), Spectroscopy (189 citations), Pharmacology (71 citations), Computational Theory and Mathematics (147 citations) and Analytical Chemistry (79 citations). Bernard Testa has collaborated with scholars based in Switzerland, France and Italy. Frequent co-authors include Nabil El Tayar, Pierre‐Alain Carrupt, Roger M. Brunne, Wilfred F. van Gunsteren, Alan E. Mark, Pierre‐Alain Carrupt, J. Gál, Pierre Alain Carrupt, H. Van De Waterbeemd and Peter Jenner. Their work appears in journals such as Journal of Medicinal Chemistry, Pharmaceutical Research, Biochemical Pharmacology, Drug Metabolism and Disposition and Chirality.

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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