François Iris
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Genetics top 10%
- Diabetes and associated disorders
Papers in
-
- Gene Regulatory Network Analysis 2
- Genetics, Bioinformatics, and Biomedical Research 2
- Genetics 7
- Estrogen and related hormone effects 2
- Co-authors
- Daniel Cohen (2 shared papers)Nanhua Deng (1 shared paper)Stephen J. Ellis (1 shared paper)Elizabeth A. Woolf (1 shared paper)Carlos J. Gimeno (1 shared paper)Marlene Dembski (1 shared paper)Louis A. Tartaglia (1 shared paper)Xun Weng (1 shared paper)
- Journals
- Pharmacopsychiatry (2 papers)Frontiers in Neuroscience (2 papers)Journal of Molecular Endocrinology (1 paper)General and Comparative Endocrinology (1 paper)Nutrients (1 paper)
- Partner nations
- United StatesFranceNew Zealand
In The Last Decade
François Iris
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Physiology 486
- Genetics 278
- Surgery 354
- Endocrinology, Diabetes and Metabolism 135
- Molecular Biology 573
Countries citing papers authored by François Iris
This map shows the geographic impact of François Iris'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 François Iris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Iris more than expected).
Fields of papers citing papers by François Iris
This network shows the impact of papers produced by François Iris. 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 François Iris. The network helps show where François Iris may publish in the future.
Co-authors
The 25 scholars most cited alongside François Iris, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 443 | |
| 2 | 1997 | 438 | |
| 3 | 1993 | 104 | |
| 4 | 2010 | 53 | |
| 5 | 1994 | 34 | |
| 6 | 2005 | 32 | |
| 7 | 2022 | 25 | |
| 8 | 2021 | 20 | |
| 9 | 2011 | 16 | |
| 10 | 2011 | 12 | |
| 11 | 2012 | 12 | |
| 12 | 2009 | 7 | |
| 13 | 1986 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 1988 | 4 | |
| 19 | 1984 | 4 | |
| 20 | 2023 | 2 |
About François Iris
François Iris is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Surgery and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Neuroendocrine regulation and behavior (2 papers), Autism Spectrum Disorder Research (2 papers), Estrogen and related hormone effects (2 papers), Gene Regulatory Network Analysis (2 papers), Bacteriophages and microbial interactions (2 papers), Pancreatic function and diabetes (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Physiology (486 citations), Genetics (278 citations), Surgery (354 citations), Endocrinology, Diabetes and Metabolism (135 citations) and Molecular Biology (573 citations). François Iris has collaborated with scholars based in United States, France and New Zealand. Frequent co-authors include Daniel Cohen, Nanhua Deng, Stephen J. Ellis, Elizabeth A. Woolf, Carlos J. Gimeno, Marlene Dembski, Louis A. Tartaglia, Xun Weng, Ruth E. Gimeno and Andrew W. Shyjan. Their work appears in journals such as Pharmacopsychiatry, Frontiers in Neuroscience, Journal of Molecular Endocrinology, General and Comparative Endocrinology and Nutrients.
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.