Jan Gimsa

3.0k citations
100 papers · 2.3k · h-index 26

Impact in

Papers in

Jan Gimsa

100 papers receiving 2.3k citations

Peers

Jan Gimsa
Comparison fields: 5 of 128
  • Physiology 198
  • Biotechnology 350
  • Biomedical Engineering 1.6k
  • Physical and Theoretical Chemistry 313
  • Cellular and Molecular Neuroscience 439
Replace Kyle C. Smith with:
Kyle C. Smith United States
Bruno Le Pioufle France
Leslie Tung United States
Jeffrey D. Zahn United States
Rodney P. O’Connor France
Andy Tay Singapore
G. Fuhr Germany
Karen C. Cheung Canada
Fatima H. Labeed United Kingdom
Jeong Won Park South Korea
Jan Gimsa relative to Kyle C. Smith United States Kyle C. Smith's profile →
Citations per field
00.5×7.0×
Kyle C. Smith · 1×
Citations per year

Countries citing papers authored by Jan Gimsa

Since Specialization
Citations

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

Fields of papers citing papers by Jan Gimsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996169
2 2017144
3 1991138
4 2001100
5 200198
6 200496
7 199295
8 199882
9 199974
10 199472
11 200857
12 199556
13 200543
14 201442
15 201142
16 200239
17 201534
18 199734
19 200833
20 201531

About Jan Gimsa

Jan Gimsa is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Physical and Theoretical Chemistry and Biotechnology, having authored 100 papers that have together received 2.3k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (53 papers), Microfluidic and Capillary Electrophoresis Applications (22 papers), Neuroscience and Neural Engineering (20 papers), Electrostatics and Colloid Interactions (19 papers), Microbial Inactivation Methods (14 papers), Neurological disorders and treatments (11 papers), Electrical and Bioimpedance Tomography (11 papers) and Electrowetting and Microfluidic Technologies (10 papers). The work is most often cited by research in Physiology (198 citations), Biotechnology (350 citations), Biomedical Engineering (1.6k citations), Physical and Theoretical Chemistry (313 citations) and Cellular and Molecular Neuroscience (439 citations). Jan Gimsa has collaborated with scholars based in Germany, United States and Thailand. Frequent co-authors include Derk Wachner, Ulrike Gimsa, Torsten Müller, T. Schnelle, Werner Baumann, G. Fuhr, Piotr E. Marszałek, Tian Yow Tsong, Ulf Strauß and Ursula van Rienen. Their work appears in journals such as Biophysical Journal, Bioelectrochemistry, Colloids and Surfaces A Physicochemical and Engineering Aspects, Biosensors and Bioelectronics and Electrophoresis.

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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