Georg Bohn

1.5k citations
14 papers · 1.0k · h-index 9

Impact in

  • Immunology top 10%
    • Immunodeficiency and Autoimmune Disorders
  • Genetics top 5%
    • Blood disorders and treatments

Papers in

    • Ubiquitin and proteasome pathways 2
    • Ion channel regulation and function 2
    • Immunodeficiency and Autoimmune Disorders 5

Georg Bohn

13 papers receiving 987 citations

Peers

Georg Bohn
Comparison fields: 5 of 78
  • Immunology 339
  • Genetics 428
  • Cellular and Molecular Neuroscience 168
  • Cell Biology 135
  • Physiology 32
Replace Tsukasa Higuchi with:
Tsukasa Higuchi Japan
Tanya M. McLaughlin United States
Hong Jun Rhee Netherlands
Sunnie Wong United States
Stuart Ellison United Kingdom
Andrew R. Cullinane United States
Francesco Chemello Italy
Clemens Hofmann Germany
Duncan B. Johnstone United States
Balaji Sundararaman United States
Georg Bohn relative to Tsukasa Higuchi Japan Tsukasa Higuchi's profile →
Citations per field
00.5×5.2×
Tsukasa Higuchi · 1×
Citations per year

Countries citing papers authored by Georg Bohn

Since Specialization
Citations

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

Fields of papers citing papers by Georg Bohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2006366
2 2006172
3 2006161
4 2000159
5 200079
6 200725
7 201223
8 196420
9 201710
10 20087
11 20056
12 20144
13 20141
14
Molecular basis of pacemaker current
20000

About Georg Bohn

Georg Bohn is a scholar working on Molecular Biology, Immunology, Genetics, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (5 papers), Blood disorders and treatments (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Ubiquitin and proteasome pathways (2 papers), Ion channel regulation and function (2 papers), Cellular transport and secretion (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Immunology (339 citations), Genetics (428 citations), Cellular and Molecular Neuroscience (168 citations), Cell Biology (135 citations) and Physiology (32 citations). Georg Bohn has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Christoph Klein, Karl Welte, Franz Hofmann, Norbert Klugbauer, Cornelia Zeidler, Bodo Grimbacher, Chozhavendan Rathinam, Alejandro A. Schäffer, David Teis and Elsé Marais. Their work appears in journals such as Blood, FEBS Letters, Current Opinion in Rheumatology, The Journal of Cell Biology and Journal of Heredity.

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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