Stefan Herrmann

48 papers receiving 3.4k citations

Peers

Stefan Herrmann
Comparison fields: 5 of 154
  • Cardiology and Cardiovascular Medicine 859
  • Cognitive Neuroscience 659
  • Genetics 931
  • Cellular and Molecular Neuroscience 423
  • Social Psychology 421
Replace Michael J. Morales with:
Michael J. Morales United States
Shoko Watanabe Japan
Daniel J. Miller United States
Sarah E. Squire United Kingdom
Junjie U. Guo United States
Gerhard M. Schratt Germany
Michele D. Binder United States
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Citations per field
00.5×2×4×6.7×
Michael J. Morales · 1×
Citations per year

Countries citing papers authored by Stefan Herrmann

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Herrmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001825
2 1997617
3 2003385
4 1997266
5 2007196
6 2005126
7 1998125
8 200899
9 201192
10 200775
11 201457
12 201953
13 201252
14 201348
15 201545
16 201144
17 201042
18 201237
19 199336
20 199432

About Stefan Herrmann

Stefan Herrmann is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Molecular Biology, Genetics and Renewable Energy, Sustainability and the Environment, having authored 50 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (13 papers), Ion channel regulation and function (10 papers), Neuroscience and Neural Engineering (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Muscle activation and electromyography studies (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), TiO2 Photocatalysis and Solar Cells (3 papers) and Advanced Photocatalysis Techniques (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (859 citations), Cognitive Neuroscience (659 citations), Genetics (931 citations), Cellular and Molecular Neuroscience (423 citations) and Social Psychology (421 citations). Stefan Herrmann has collaborated with scholars based in Germany, United Kingdom and Argentina. Frequent co-authors include A. Ludwig, Juliane Stieber, Franz Bruno Hofmann, Albert Newen, Francesca G. E. Happe, Peter Falkai, Gereon R. Fink, Nadim Jon Shah, Karl Zilles and Kai Thorsten Vogeley. Their work appears in journals such as Cardiovascular Research, Pain, International Journal of Legal Medicine, Scientific Reports and Journal of Molecular and Cellular Cardiology.

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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