Jérôme Casas
- Insect Science top 0.1%
- Insect-Plant Interactions and Control 36
- Insect Pheromone Research and Control 12
-
- Plant and animal studies 62
- Animal Behavior and Reproduction 36
- Ecological Modeling top 2%
- Genetics top 1%
- Insect and Arachnid Ecology and Behavior 64
- Ecology top 2%
- Physiological and biochemical adaptations 11
-
- Neurobiology and Insect Physiology Research 40
-
- Plant Parasitism and Resistance 19
- Co-authors
- David GironSylvain PincebourdeOlivier DanglesMarc ThéryAna RiveroRainer MeyhöferThomas SteinmannChristelle Magal
- Journals
- Journal of Experimental Biology (15 papers)Journal of The Royal Society Interface (11 papers)Proceedings of the Royal Society B Biological Sciences (11 papers)
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Jérôme Casas
168 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 138
- Insect Science 2.2k
- Ecology, Evolution, Behavior and Systematics 3.2k
- Ecological Modeling 264
- Genetics 1.7k
- Ecology 1.1k
Countries citing papers authored by Jérôme Casas
This map shows the geographic impact of Jérôme Casas'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 Jérôme Casas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Casas more than expected).
Fields of papers citing papers by Jérôme Casas
This network shows the impact of papers produced by Jérôme Casas. 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 Jérôme Casas. The network helps show where Jérôme Casas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jérôme Casas, 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 | 2023 | 8 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 35 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 4 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 12 | |
| 14 | 2019 | 85 | |
| 15 | 2019 | 6 | |
| 16 | 2018 | 2 | |
| 17 | 2018 | 70 | |
| 18 | 2015 | 13 | |
| 19 | 2012 | 64 | |
| 20 | Density dependent parasitism and plant architecture. | 1991 | 7 |
About Jérôme Casas
Jérôme Casas is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Genetics, Cellular and Molecular Neuroscience and Ecology, having authored 171 papers that have together received 5.7k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (64 papers), Plant and animal studies (62 papers), Neurobiology and Insect Physiology Research (40 papers), Animal Behavior and Reproduction (36 papers), Insect-Plant Interactions and Control (36 papers), Plant Parasitism and Resistance (19 papers), Insect Pheromone Research and Control (12 papers) and Physiological and biochemical adaptations (11 papers). The work is most often cited by research in Insect Science (2.2k citations), Ecology, Evolution, Behavior and Systematics (3.2k citations), Ecological Modeling (264 citations), Genetics (1.7k citations) and Ecology (1.1k citations). Jérôme Casas has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include David Giron, Sylvain Pincebourde, Olivier Dangles, Marc Théry, Ana Rivero, Rainer Meyhöfer, Thomas Steinmann, Christelle Magal, T Insausti and Silvia Dorn. Their work appears in journals such as Journal of Experimental Biology, Journal of The Royal Society Interface, Proceedings of the Royal Society B Biological Sciences, Journal of Insect Physiology and Ecology.
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.