Eric Verdon

65 papers receiving 1.3k citations

Peers

Eric Verdon
Comparison fields: 5 of 84
  • Food Science 631
  • Analytical Chemistry 337
  • Pollution 342
  • Animal Science and Zoology 292
  • Pharmacology 393
Replace Fabiano Barreto with:
Fabiano Barreto Brazil
Xiaowei Li China
Dominique Hurtaud‐Pessel France
Jan Żmudzki Poland
Limin He China
Robert J. McCracken United Kingdom
Sara Stead United Kingdom
Alan R. Lightfield United States
D. Glenn Kennedy United Kingdom
Els Daeseleire Belgium
Eric Verdon relative to Fabiano Barreto Brazil Fabiano Barreto's profile →
Citations per field
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Fabiano Barreto · 1×
Citations per year

Countries citing papers authored by Eric Verdon

Since Specialization
Citations

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

Fields of papers citing papers by Eric Verdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007128
2 200976
3 201972
4 200664
5 200561
6 201161
7 201455
8 201152
9 200949
10 201147
11 201045
12 201642
13 200038
14 200434
15 201931
16 201331
17 202030
18 201629
19 199925
20 201422

About Eric Verdon

Eric Verdon is a scholar working on Food Science, Pollution, Pharmacology, Animal Science and Zoology and Analytical Chemistry, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pesticide Residue Analysis and Safety (37 papers), Pharmaceutical and Antibiotic Environmental Impacts (24 papers), Antibiotics Pharmacokinetics and Efficacy (22 papers), Pharmacological Effects and Assays (12 papers), Insect and Pesticide Research (10 papers), Analytical Chemistry and Chromatography (10 papers), Analytical chemistry methods development (6 papers) and Bee Products Chemical Analysis (6 papers). The work is most often cited by research in Food Science (631 citations), Analytical Chemistry (337 citations), Pollution (342 citations), Animal Science and Zoology (292 citations) and Pharmacology (393 citations). Eric Verdon has collaborated with scholars based in France, Lebanon and Belgium. Frequent co-authors include Dominique Hurtaud‐Pessel, Pascal Sandérs, Valérie Gaudin, Estelle Dubreil, Brigitte Roudaut, Michel Laurentie, Christophe Soumet, Claire Demesmay, J. L. Rocca and Mohamad Al Iskandarani. Their work appears in journals such as Food Additives & Contaminants Part A, Journal of Chromatography A, Journal of AOAC International, Journal of Agricultural and Food Chemistry and Food 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.

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