Michaël Polet

507 citations
29 papers · 430 · h-index 15

Impact in

Papers in

Michaël Polet

29 papers receiving 420 citations

Peers

Michaël Polet
Comparison fields: 5 of 63
  • Endocrinology, Diabetes and Metabolism 312
  • Animal Science and Zoology 139
  • Spectroscopy 157
  • Toxicology 30
  • Cell Biology 117
Replace Wim Van Gansbeke with:
Wim Van Gansbeke Belgium
Polyxeni Kiousi Greece
James Scarth United Kingdom
Francesco Molaioni Italy
Cristiana Colamonici Italy
Mônica Costa Padilha Brazil
E. Lyris Greece
Brian Ahrens United States
Nola H. Yu China
Pieter Van Renterghem Belgium
Michaël Polet relative to Wim Van Gansbeke Belgium Wim Van Gansbeke's profile →
Citations per field
00.5×1.6×
Wim Van Gansbeke · 1×
Citations per year

Countries citing papers authored by Michaël Polet

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Polet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Michaël Polet, 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 Michaël Polet Line = papers co-authored together Michaël Polet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201842
2 201730
3 202029
4 201528
5 201225
6 201822
7 201222
8 201920
9 201319
10 202118
11 201618
12 202017
13 201617
14 201414
15 201414
16 201713
17 201413
18 201911
19 202111
20 202011

About Michaël Polet

Michaël Polet is a scholar working on Endocrinology, Diabetes and Metabolism, Spectroscopy, Animal Science and Zoology, Pharmacology and Cell Biology, having authored 29 papers that have together received 430 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (22 papers), Pharmacological Effects and Assays (12 papers), Analytical Chemistry and Chromatography (10 papers), Mass Spectrometry Techniques and Applications (10 papers), Pharmacogenetics and Drug Metabolism (5 papers), Muscle metabolism and nutrition (5 papers), Pesticide Residue Analysis and Safety (5 papers) and Analytical chemistry methods development (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (312 citations), Animal Science and Zoology (139 citations), Spectroscopy (157 citations), Toxicology (30 citations) and Cell Biology (117 citations). Michaël Polet has collaborated with scholars based in Belgium, Australia and Italy. Frequent co-authors include Peter Van Eenoo, Wim Van Gansbeke, Koen Deventer, Pieter Van Renterghem, Christophe Devos, K. Roels, Guy T’Sjoen, Aurélie Benoit, Corinne Buisson and Lynn Vanhaecke. Their work appears in journals such as Drug Testing and Analysis, Analytica Chimica Acta, Journal of Chromatography B, Journal of Chromatography A and Steroids.

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.

Explore authors with similar magnitude of impact