Fred Hofmann

4.7k citations
60 papers · 4.2k · h-index 36

Impact in

Papers in

    • Clostridium difficile and Clostridium perfringens research 26
    • Protein Kinase Regulation and GTPase Signaling 18
    • Ion channel regulation and function 3

Fred Hofmann

60 papers receiving 4k citations

Peers

Fred Hofmann
Comparison fields: 5 of 99
  • Infectious Diseases 1.2k
  • Endocrinology 254
  • Immunology 601
  • Cell Biology 386
  • Molecular Biology 1.6k
Replace Harald Genth with:
Harald Genth Germany
Jörg Selzer Germany
Carsten Schwan Germany
Marc L. Fivaz Switzerland
Gudula Schmidt Germany
Robert C. Orchard United States
Gary Thomas United States
Marcelo Ehrlich Israel
Ramiro Massol United States
Roberto J. Botelho Canada
Fred Hofmann relative to Harald Genth Germany Harald Genth's profile →
Citations per field
00.5×1.5×2.2×
Harald Genth · 1×
Citations per year

Countries citing papers authored by Fred Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by Fred Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003382
2 2001285
3 1998202
4 1996177
5 2005172
6 1998153
7 1997149
8 2001149
9 2001140
10 1996128
11 2001112
12 2004101
13 199897
14 201087
15 200785
16 200584
17 200481
18 199780
19 200679
20 199877

About Fred Hofmann

Fred Hofmann is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Cellular and Molecular Neuroscience and Cell Biology, having authored 60 papers that have together received 4.2k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (26 papers), Protein Kinase Regulation and GTPase Signaling (18 papers), Toxin Mechanisms and Immunotoxins (10 papers), Cellular transport and secretion (4 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Axon Guidance and Neuronal Signaling (3 papers), Ion channel regulation and function (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Endocrinology (254 citations), Immunology (601 citations), Cell Biology (386 citations) and Molecular Biology (1.6k citations). Fred Hofmann has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Klaus Aktories, Ingo Just, Harald Genth, Christian Busch, Holger Barth, Jörg Selzer, Ralf Gerhard, Fei Wang, Daniel Kalman and Alexander Ott. Their work appears in journals such as Journal of Biological Chemistry, Infection and Immunity, Biochemical and Biophysical Research Communications, Journal of Neurochemistry and FEBS Letters.

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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