Michaël Polet
Impact in
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- Hormonal and reproductive studies
- Animal Science and Zoology top 5%
- Pharmacological Effects and Assays
Papers in
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- Hormonal and reproductive studies 22
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- Pharmacological Effects and Assays 12
- Co-authors
- Peter Van Eenoo (28 shared papers)Wim Van Gansbeke (17 shared papers)Koen Deventer (11 shared papers)Pieter Van Renterghem (6 shared papers)Christophe Devos (1 shared paper)K. Roels (1 shared paper)Guy T’Sjoen (1 shared paper)Corinne Buisson (1 shared paper)
In The Last Decade
Michaël Polet
29 papers receiving 438 citations
Peers
Comparison fields: 5 of 65
- Endocrinology, Diabetes and Metabolism 316
- Animal Science and Zoology 139
- Spectroscopy 154
- Toxicology 29
- Cell Biology 116
Countries citing papers authored by Michaël Polet
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
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.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 42 | |
| 2 | 2017 | 32 | |
| 3 | 2020 | 31 | |
| 4 | 2015 | 27 | |
| 5 | 2012 | 25 | |
| 6 | 2012 | 22 | |
| 7 | 2018 | 22 | |
| 8 | 2019 | 20 | |
| 9 | 2013 | 19 | |
| 10 | 2020 | 18 | |
| 11 | 2016 | 18 | |
| 12 | 2021 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2014 | 15 | |
| 15 | 2014 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 2017 | 13 | |
| 18 | 2020 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2021 | 11 |
About Michaël Polet
Michaël Polet is a scholar working on Endocrinology, Diabetes and Metabolism, Animal Science and Zoology, Spectroscopy, Pharmacology and Cell Biology, having authored 29 papers that have together received 448 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (22 papers), Pharmacological Effects and Assays (12 papers), Analytical Chemistry and Chromatography (8 papers), Mass Spectrometry Techniques and Applications (8 papers), Pharmacogenetics and Drug Metabolism (5 papers), Muscle metabolism and nutrition (5 papers), Pesticide Residue Analysis and Safety (5 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (316 citations), Animal Science and Zoology (139 citations), Spectroscopy (154 citations), Toxicology (29 citations) and Cell Biology (116 citations). Michaël Polet has collaborated with scholars based in Belgium, Italy and Australia. Frequent co-authors include Peter Van Eenoo, Wim Van Gansbeke, Koen Deventer, Pieter Van Renterghem, Christophe Devos, K. Roels, Guy T’Sjoen, Corinne Buisson, Aurélie Benoit 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 Biomedical Chromatography.
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.