Urs Gerber

4.9k citations
105 papers · 4.2k · h-index 34

Impact in

Papers in

Urs Gerber

103 papers receiving 4.1k citations

Peers

Urs Gerber
Comparison fields: 5 of 130
  • Cellular and Molecular Neuroscience 2.9k
  • Cognitive Neuroscience 1.1k
  • Endocrine and Autonomic Systems 338
  • Physiology 233
  • Developmental Neuroscience 188
Replace Laurent Venance with:
Laurent Venance France
R. David Andrew Canada
Peter B. Guthrie United States
Duk‐Su Koh United States
Laurent Fagni France
Jochen Roeper Germany
Pascal Legendre France
Ann Cornell-Bell United States
Beat H. Gähwiler Switzerland
Arjen B. Brussaard Netherlands
Urs Gerber relative to Laurent Venance France Laurent Venance's profile →
Citations per field
00.5×1.5×1.9×
Laurent Venance · 1×
Citations per year

Countries citing papers authored by Urs Gerber

Since Specialization
Citations

This map shows the geographic impact of Urs Gerber'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 Urs Gerber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urs Gerber more than expected).

Fields of papers citing papers by Urs Gerber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Urs Gerber. 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 Urs Gerber. The network helps show where Urs Gerber may publish in the future.

Co-authors

The 25 scholars most cited alongside Urs Gerber, 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 Urs Gerber Line = papers co-authored together Urs Gerber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999275
2 2000214
3 2002187
4 2002168
5 2004164
6 1995154
7 1989150
8 1999147
9 2001142
10 2012131
11 1994115
12 2003112
13 2012111
14 2000111
15 200699
16 198989
17 200989
18 199879
19 201173
20 201669

About Urs Gerber

Urs Gerber is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Condensed Matter Physics and Atomic and Molecular Physics, and Optics, having authored 105 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (67 papers), Ion channel regulation and function (31 papers), Receptor Mechanisms and Signaling (21 papers), Photoreceptor and optogenetics research (13 papers), Neural dynamics and brain function (12 papers), Theoretical and Computational Physics (10 papers), Memory and Neural Mechanisms (10 papers) and Neuroscience and Neural Engineering (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.9k citations), Cognitive Neuroscience (1.1k citations), Endocrine and Autonomic Systems (338 citations), Physiology (233 citations) and Developmental Neuroscience (188 citations). Urs Gerber has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Beat H. Gähwiler, Pascal Benquet, Masahiro Mori, Christine E. Gee, Massimo Scanziani, B.H. Gähwiler, Christian Heuss, Denis Jabaudon, Robert Greene and Nathalie C. Guérineau. Their work appears in journals such as Journal of Neuroscience, The Journal of Physiology, European Journal of Neuroscience, Proceedings of the National Academy of Sciences and Journal of Neurophysiology.

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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