Jonathan Desponds
Impact in
Papers in
-
- RNA Research and Splicing 4
- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 2
- Gene Regulatory Network Analysis 2
-
- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Aleksandra M. Walczak (6 shared papers)Thierry Mora (2 shared papers)Mathieu Coppey (4 shared papers)Nathalie Dostatni (4 shared papers)Andreas Mayer (2 shared papers)Huy Tran (3 shared papers)Cécile Fradin (3 shared papers)Massimo Vergassola (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)eLife (2 papers)npj Digital Medicine (1 paper)Nature Communications (1 paper)Wiley Interdisciplinary Reviews Developmental Biology (1 paper)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Jonathan Desponds
9 papers receiving 178 citations
Peers
Comparison fields: 5 of 48
- Aging 8
- Biophysics 15
- Immunology 41
- Molecular Biology 121
- Genetics 31
Countries citing papers authored by Jonathan Desponds
This map shows the geographic impact of Jonathan Desponds'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 Jonathan Desponds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Desponds more than expected).
Fields of papers citing papers by Jonathan Desponds
This network shows the impact of papers produced by Jonathan Desponds. 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 Jonathan Desponds. The network helps show where Jonathan Desponds may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Desponds, 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 | 2015 | 46 | |
| 2 | 2016 | 31 | |
| 3 | 2018 | 24 | |
| 4 | 2020 | 21 | |
| 5 | 2016 | 20 | |
| 6 | 2019 | 18 | |
| 7 | 2020 | 17 | |
| 8 | 2025 | 2 | |
| 9 | Precision of readout at the hunchback gene | 2016 | 1 |
| 10 | 2025 | 0 |
About Jonathan Desponds
Jonathan Desponds is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Cellular and Molecular Neuroscience and Sociology and Political Science, having authored 10 papers that have together received 180 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (3 papers), CRISPR and Genetic Engineering (2 papers), T-cell and B-cell Immunology (2 papers), Gene Regulatory Network Analysis (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Aging (8 citations), Biophysics (15 citations), Immunology (41 citations), Molecular Biology (121 citations) and Genetics (31 citations). Jonathan Desponds has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Aleksandra M. Walczak, Thierry Mora, Mathieu Coppey, Nathalie Dostatni, Andreas Mayer, Huy Tran, Cécile Fradin, Massimo Vergassola, Teresa Ferraro and Tanguy Lucas. Their work appears in journals such as PLoS Computational Biology, eLife, npj Digital Medicine, Nature Communications and Wiley Interdisciplinary Reviews Developmental Biology.
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.