Jean‐Marc Bonmatin
- Insect Science top 0.1%
- Insect and Pesticide Research 23
- Insect-Plant Interactions and Control 5
- Bee Products Chemical Analysis 5
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- Plant and animal studies 11
- Microbiology top 1%
- Antimicrobial Peptides and Activities 3
- Genetics top 1%
- Insect and Arachnid Ecology and Behavior 11
- Pollution top 2%
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- Insect Pest Control Strategies 4
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- Lipid Membrane Structure and Behavior 3
- Co-authors
- Dave GoulsonLuc BelzuncesJ.P. van der SluijsNoa Simon‐DelsoMarius PtakMaarten Bijleveld van LexmondF. PeypouxOlivier Laprévôte
- Partner nations
- FranceSwitzerlandAustralia
In The Last Decade
Jean‐Marc Bonmatin
39 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Insect Science 2.2k
- Ecology, Evolution, Behavior and Systematics 1.3k
- Microbiology 409
- Genetics 1.2k
- Pollution 407
Countries citing papers authored by Jean‐Marc Bonmatin
This map shows the geographic impact of Jean‐Marc Bonmatin'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 Jean‐Marc Bonmatin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Marc Bonmatin more than expected).
Fields of papers citing papers by Jean‐Marc Bonmatin
This network shows the impact of papers produced by Jean‐Marc Bonmatin. 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 Jean‐Marc Bonmatin. The network helps show where Jean‐Marc Bonmatin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean‐Marc Bonmatin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | Urinary neonicotinoids in rural population of the Philippines and comparison with paired hair samples | 2023 | 1 |
| 4 | 2021 | 20 | |
| 5 | 2020 | 31 | |
| 6 | 2019 | 67 | |
| 7 | 2019 | 95 | |
| 8 | 2018 | 55 | |
| 9 | 2017 | 39 | |
| 10 | 2017 | 88 | |
| 11 | 2017 | 228 | |
| 12 | Effects of neonicotinoids and fipronil on non-target invertebratesbreakdown → | 2014 | 690 |
| 13 | [The use of honey in the simple and composed drugs at Rhazés]. | 2003 | 1 |
| 14 | 2001 | 10 | |
| 15 | 1999 | 56 | |
| 16 | 1997 | 29 | |
| 17 | 1995 | 31 | |
| 18 | 1994 | 109 | |
| 19 | 1992 | 114 | |
| 20 | 1989 | 28 |
About Jean‐Marc Bonmatin
Jean‐Marc Bonmatin is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 41 papers that have together received 3.4k indexed citations. Recurring topics across this work include Insect and Pesticide Research (23 papers), Insect and Arachnid Ecology and Behavior (11 papers), Plant and animal studies (11 papers), Insect-Plant Interactions and Control (5 papers), Bee Products Chemical Analysis (5 papers), Insect Pest Control Strategies (4 papers), Lipid Membrane Structure and Behavior (3 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Insect Science (2.2k citations), Ecology, Evolution, Behavior and Systematics (1.3k citations) and Microbiology (409 citations). Jean‐Marc Bonmatin has collaborated with scholars based in France, Switzerland and Australia. Frequent co-authors include Dave Goulson, Luc Belzunces, J.P. van der Sluijs, Noa Simon‐Delso, Marius Ptak, Maarten Bijleveld van Lexmond, F. Peypoux, Olivier Laprévôte, D. A. Noome and Francisco Sánchez‐Bayo. Their work appears in journals such as Science, Environmental Science & Technology and PLoS ONE.
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.