Fred Hofmann

4.8k citations
64 papers · 3.9k · h-index 36

Impact in

    • Clostridium difficile and Clostridium perfringens research
    • Antimicrobial Resistance in Staphylococcus
  • Immunology top 2%
    • Toxin Mechanisms and Immunotoxins

Papers in

    • Ion channel regulation and function 14
    • Protein Kinase Regulation and GTPase Signaling 7
    • Sphingolipid Metabolism and Signaling 4
    • Toxin Mechanisms and Immunotoxins 28

Fred Hofmann

64 papers receiving 3.9k citations

Peers

Fred Hofmann
Comparison fields: 5 of 120
  • Infectious Diseases 1.3k
  • Immunology 1.3k
  • Endocrinology 198
  • Cell Biology 625
  • Immunology and Allergy 165
Replace Eric J. Brown with:
Eric J. Brown United States
Gudula Schmidt Germany
Kate J. Heesom United Kingdom
Michael J. Hayman United States
Harald Genth Germany
Sandrine Bourdoulous France
Ursula Rescher Germany
R. Martin Vabulas Germany
Michael Tiemeyer United States
Shinobu Imajoh‐Ohmi Japan
Fred Hofmann relative to Eric J. Brown United States Eric J. Brown's profile →
Citations per field
00.5×1.5×
Eric J. Brown · 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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003375
2 2001265
3 1998191
4 2005170
5 1996166
6 1998139
7 2001138
8 1997137
9 2001128
10 1996112
11 2004102
12 200198
13 199889
14 200584
15 201083
16 200782
17 199781
18 199875
19 200674
20 200473

About Fred Hofmann

Fred Hofmann is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Cellular and Molecular Neuroscience and Cell Biology, having authored 64 papers that have together received 3.9k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (28 papers), Toxin Mechanisms and Immunotoxins (28 papers), Ion channel regulation and function (14 papers), Botulinum Toxin and Related Neurological Disorders (9 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Cellular transport and secretion (5 papers), Nerve injury and regeneration (5 papers) and Sphingolipid Metabolism and Signaling (4 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Immunology (1.3k citations), Endocrinology (198 citations), Cell Biology (625 citations) and Immunology and Allergy (165 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, Henry R. Bourne and Daniel Kalman. 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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