Thomas Gutsmann

147 papers receiving 6.1k citations

Thomas Gutsmann's Hit Papers

Candidalysin is a fungal peptide toxin critical for mucosal infection 2016 · 745 citations
7450+3+6Years since publication200400600

Peers

Thomas Gutsmann
Comparison fields: 5 of 137
  • Microbiology 1.6k
  • Immunology 773
  • Infectious Diseases 678
  • Biomaterials 320
  • Molecular Medicine 157
Replace Peter H. Nibbering with:
Peter H. Nibbering Netherlands
Massimiliano Galdiero Italy
Lars Björck Sweden
Robert Bucki Poland
Wuyuan Lu United States
Matthias Mörgelin Sweden
Alan J. Waring United States
Henk P. Haagsman Netherlands
Kim Alan Brogden United States
Stefania Galdiero Italy
Thomas Gutsmann relative to Peter H. Nibbering Netherlands Peter H. Nibbering's profile →
Citations per field
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Peter H. Nibbering · 1×
Citations per year

Countries citing papers authored by Thomas Gutsmann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Gutsmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Candidalysin is a fungal peptide toxin critical for mucosal infection
Hit paper breakdown →
2016745
2 2005277
3 2006191
4 2001187
5 2014143
6 2016143
7 2014131
8 1998127
9 2010114
10 2008112
11 2009109
12 2010105
13 2004103
14 2003102
15 201198
16 200797
17 200895
18 201295
19 201187
20 201286

About Thomas Gutsmann

Thomas Gutsmann is a scholar working on Microbiology, Immunology, Molecular Biology, Infectious Diseases and Epidemiology, having authored 147 papers that have together received 6.3k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (69 papers), Lipid Membrane Structure and Behavior (27 papers), Immune Response and Inflammation (23 papers), Sepsis Diagnosis and Treatment (12 papers), Malaria Research and Control (5 papers), Force Microscopy Techniques and Applications (5 papers), Tuberculosis Research and Epidemiology (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Microbiology (1.6k citations), Immunology (773 citations), Infectious Diseases (678 citations), Biomaterials (320 citations) and Molecular Medicine (157 citations). Thomas Gutsmann has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Klaus Brandenburg, Ulrich Seydel, Andre Wiese, Jörg Andrä, Patrick Garidel, Paul K. Hansma, Andra Beate Schromm, Georg Ernest Fantner, Torsten Goldmann and Lena Heinbockel. Their work appears in journals such as Biophysical Journal, Scientific Reports, Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Biomembranes and Innate Immunity.

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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