Benjamin Pfeuty
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
Papers in
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- Gene Regulatory Network Analysis 15
- Pluripotent Stem Cells Research 3
- Developmental Biology and Gene Regulation 3
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- Light effects on plants 6
- Co-authors
- Kunihiko Kaneko (4 shared papers)Germán Mato (2 shared papers)David Golomb (2 shared papers)D. Hansel (2 shared papers)Quentin Thommen (16 shared papers)Marc Lefranc (9 shared papers)François‐Yves Bouget (5 shared papers)Florence Corellou (4 shared papers)
In The Last Decade
Benjamin Pfeuty
31 papers receiving 670 citations
Peers
Comparison fields: 5 of 96
- Endocrine and Autonomic Systems 89
- Cognitive Neuroscience 214
- Statistical and Nonlinear Physics 134
- Cellular and Molecular Neuroscience 172
- Molecular Biology 313
Countries citing papers authored by Benjamin Pfeuty
This map shows the geographic impact of Benjamin Pfeuty'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 Benjamin Pfeuty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Pfeuty more than expected).
Fields of papers citing papers by Benjamin Pfeuty
This network shows the impact of papers produced by Benjamin Pfeuty. 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 Benjamin Pfeuty. The network helps show where Benjamin Pfeuty may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Pfeuty, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 133 | |
| 2 | 2005 | 86 | |
| 3 | 2009 | 71 | |
| 4 | 2011 | 39 | |
| 5 | 2010 | 36 | |
| 6 | 2008 | 31 | |
| 7 | 2015 | 26 | |
| 8 | 2012 | 23 | |
| 9 | 2012 | 22 | |
| 10 | 2014 | 22 | |
| 11 | 2022 | 21 | |
| 12 | 2010 | 20 | |
| 13 | 2012 | 19 | |
| 14 | 2007 | 18 | |
| 15 | 2015 | 17 | |
| 16 | 2007 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2020 | 10 | |
| 19 | 2018 | 9 | |
| 20 | 2014 | 9 |
About Benjamin Pfeuty
Benjamin Pfeuty is a scholar working on Molecular Biology, Plant Science, Endocrine and Autonomic Systems, Cell Biology and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 682 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (15 papers), Microtubule and mitosis dynamics (6 papers), Light effects on plants (6 papers), Circadian rhythm and melatonin (6 papers), Pluripotent Stem Cells Research (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Developmental Biology and Gene Regulation (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (89 citations), Cognitive Neuroscience (214 citations), Statistical and Nonlinear Physics (134 citations), Cellular and Molecular Neuroscience (172 citations) and Molecular Biology (313 citations). Benjamin Pfeuty has collaborated with scholars based in France, Japan and Argentina. Frequent co-authors include Kunihiko Kaneko, Germán Mato, David Golomb, D. Hansel, Quentin Thommen, Marc Lefranc, François‐Yves Bouget, Florence Corellou, T David-Pfeuty and Philippe Schatt. Their work appears in journals such as PLoS ONE, Biophysical Journal, International Journal of Hyperthermia, Physical Biology and PLoS Computational 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.