Guillaume Duménil
- Molecular Biology top 5%
- Microbiology top 0.5%
- Cancer Research top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 5%
- Co-authors
- M. LagetRenato BasergaMasahiko MiuraDomenico CoppolaTiziana DeAngelisCatherine DeveaudArgiris EfstratiadisChristian Sell
- Topics
- Bacterial Infections and Vaccines (26 papers)Carcinogens and Genotoxicity Assessment (14 papers)Escherichia coli research studies (6 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Guillaume Duménil
98 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Molecular Biology 1.8k
- Microbiology 606
- Cancer Research 440
- Endocrinology, Diabetes and Metabolism 434
- Genetics 429
Countries citing papers authored by Guillaume Duménil
This map shows the geographic impact of Guillaume Duménil'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 Guillaume Duménil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillaume Duménil more than expected).
Fields of papers citing papers by Guillaume Duménil
This network shows the impact of papers produced by Guillaume Duménil. 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 Guillaume Duménil. The network helps show where Guillaume Duménil may publish in the future.
Co-authorship network of co-authors of Guillaume Duménil
This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Duménil. A scholar is included among the top collaborators of Guillaume Duménil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guillaume Duménil. Guillaume Duménil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelinesbreakdown → | 485 |
| 4 | 28 | |
| 5 | 19 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 26 | |
| 9 | 40 | |
| 10 | 146 | |
| 11 | 8 | |
| 12 | 168 | |
| 13 | 185 | |
| 14 | 78 | |
| 15 | 79 | |
| 16 | 50 | |
| 17 | 79 | |
| 18 | 58 | |
| 19 | 62 | |
| 20 | The stability of long-term equilibrium in a general disequilibrium model, no. 8717 | 1 |
About Guillaume Duménil
Guillaume Duménil is a scholar working on Microbiology, Chemical Health and Safety and Endocrinology, having authored 103 papers that have together received 4.1k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (26 papers), Carcinogens and Genotoxicity Assessment (14 papers) and Escherichia coli research studies (6 papers). The work is most often cited by research in Microbiology (606 citations), Endocrinology (391 citations) and Chemical Health and Safety (27 citations). Guillaume Duménil has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include M. Laget, Renato Baserga, Masahiko Miura, Domenico Coppola, Tiziana DeAngelis, Catherine Deveaud, Argiris Efstratiadis, Christian Sell, Xavier Nassif and H. Guiraud. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.