Benjamin Pfeuty

892 citations
32 papers · 667 indexed · h-index 16

Impact in

Papers in

Benjamin Pfeuty

30 papers receiving 652 citations

Peers

Benjamin Pfeuty
Comparison fields: 5 of 96
  • Endocrine and Autonomic Systems 87
  • Cognitive Neuroscience 216
  • Statistical and Nonlinear Physics 134
  • Cellular and Molecular Neuroscience 174
  • Computer Networks and Communications 105
Replace Ulrike Winkler with:
Ulrike Winkler Germany
Gen Kurosawa Japan
Yoon Sup Choi South Korea
Lea Goentoro United States
David J. Jörg Germany
Yulia Timofeeva United Kingdom
Sayak Bhattacharya United States
Stéphane Swillens Belgium
Yuansheng Cao United States
Tsz‐Leung To United States
Benjamin Pfeuty relative to Ulrike Winkler Germany Ulrike Winkler's profile →
Citations per field
00.5×6.6×
Ulrike Winkler · 1×
Citations per year

Countries citing papers authored by Benjamin Pfeuty

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Benjamin Pfeuty Line = papers co-authored together Benjamin Pfeuty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 202218
4 20221
5 202114
6 20204
7 20191
8 20189
9 201525
10 201517
11 201419
12 20148
13 20149
14 201223
15 20124
16 20127
17 201036
18 200970
19 200831
20 200718

About Benjamin Pfeuty

Benjamin Pfeuty is a scholar working on Endocrine and Autonomic Systems, Biophysics, Modeling and Simulation, Cell Biology and Physical and Theoretical Chemistry, having authored 32 papers that have together received 667 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (15 papers), Circadian rhythm and melatonin (6 papers), Microtubule and mitosis dynamics (6 papers), Light effects on plants (6 papers), Photoreceptor and optogenetics research (3 papers), Pluripotent Stem Cells Research (3 papers), Neural dynamics and brain function (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (87 citations), Cognitive Neuroscience (216 citations), Statistical and Nonlinear Physics (134 citations), Cellular and Molecular Neuroscience (174 citations) and Computer Networks and Communications (105 citations). Benjamin Pfeuty has collaborated with scholars based in France, Japan and Argentina. Frequent co-authors include Kunihiko Kaneko, D. Hansel, Germán Mato, David Golomb, Quentin Thommen, Marc Lefranc, François‐Yves Bouget, Florence Corellou, T David-Pfeuty and Jingkui Wang. Their work appears in journals such as Journal of Theoretical Biology, Physical Biology, International Journal of Hyperthermia, PLoS Computational Biology and Biophysical Journal.

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.

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