Peter Gött

588 citations
18 papers · 513 · h-index 11

Impact in

Papers in

    • Helicobacter pylori-related gastroenterology studies 12
    • Glycosylation and Glycoproteins Research 3
    • Cancer-related gene regulation 2
    • RNA modifications and cancer 2
    • Ubiquitin and proteasome pathways 1

Peter Gött

16 papers receiving 496 citations

Peers

Peter Gött
Comparison fields: 5 of 63
  • Immunology 123
  • Infectious Diseases 88
  • Surgery 195
  • Molecular Biology 239
  • Cancer Research 33
Replace Mark Katzenellenbogen with:
Mark Katzenellenbogen Israel
Stefan Fronhoffs Germany
Wenzhi Liu China
Javier González Gallego Spain
Zerui Zhang China
Sylvie Lachmann Germany
Timothy D. Murtha United States
Fiona McDougall Australia
Martin May Germany
Nassim Hammoudi France
Peter Gött relative to Mark Katzenellenbogen Israel Mark Katzenellenbogen's profile →
Citations per field
00.5×3.8×
Mark Katzenellenbogen · 1×
Citations per year

Countries citing papers authored by Peter Gött

Since Specialization
Citations

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

Fields of papers citing papers by Peter Gött

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200276
2 200071
3 199363
4 200259
5 199658
6 199357
7 199135
8 200125
9 199918
10 199818
11 199812
12 20008
13 19995
14 19883
15 19962
16 19992
17 19661
18 20000

About Peter Gött

Peter Gött is a scholar working on Surgery, Molecular Biology, Immunology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 513 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (12 papers), Galectins and Cancer Biology (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer-related gene regulation (2 papers), Viral Infections and Vectors (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), RNA modifications and cancer (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Immunology (123 citations), Infectious Diseases (88 citations), Surgery (195 citations), Molecular Biology (239 citations) and Cancer Research (33 citations). Peter Gött has collaborated with scholars based in Germany, Portugal and Türkiye. Frequent co-authors include Nikolaus Blin, Tuncay Kayademir, José Carlos Machado, Ekkehard K.F. Bautz, Ralf Stohwasser, Fátima Carneiro, Paul Schnitzler, Gholamreza Darai, Stefanie Beck and Holger Schmitt. Their work appears in journals such as Gene, European Journal of Human Genetics, The Journal of Pathology, FEBS Letters and Virology.

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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