Peter Šebo

7.2k citations
176 papers · 6.2k · h-index 45

Impact in

Papers in

    • Bacterial Infections and Vaccines 107
    • Toxin Mechanisms and Immunotoxins 26
    • Immunotherapy and Immune Responses 21
    • Immune Response and Inflammation 8

Peter Šebo

172 papers receiving 6.1k citations

Peers

Peter Šebo
Comparison fields: 5 of 116
  • Microbiology 3.1k
  • Endocrinology 976
  • Immunology 1.8k
  • Immunology and Allergy 122
  • Infectious Diseases 450
Replace Daniel Ladant with:
Daniel Ladant France
Alison Ann Weiss United States
Radim Osička Czechia
Christoph Dehio Switzerland
Jiří Mašín Czechia
Raphael H. Valdivia United States
Magdalene So United States
Ted Hackstadt United States
Mumtaz Virji United Kingdom
Gursharan S. Chhatwal Germany
Peter Šebo relative to Daniel Ladant France Daniel Ladant's profile →
Citations per field
00.5×1.5×
Daniel Ladant · 1×
Citations per year

Countries citing papers authored by Peter Šebo

Since Specialization
Citations

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

Fields of papers citing papers by Peter Šebo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010447
2 1995149
3 2010148
4 2006146
5 2016136
6 1994132
7 2003112
8 2008101
9 200897
10 199395
11 199292
12 200091
13 200690
14 199689
15 200888
16 199187
17 199587
18 199786
19 200686
20 201086

About Peter Šebo

Peter Šebo is a scholar working on Microbiology, Immunology, Endocrinology, Molecular Biology and Genetics, having authored 176 papers that have together received 6.2k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (107 papers), Toxin Mechanisms and Immunotoxins (26 papers), Immunotherapy and Immune Responses (21 papers), Bacterial Genetics and Biotechnology (20 papers), Escherichia coli research studies (13 papers), Tuberculosis Research and Epidemiology (9 papers), Immune Response and Inflammation (8 papers) and Lipid Membrane Structure and Behavior (8 papers). The work is most often cited by research in Microbiology (3.1k citations), Endocrinology (976 citations), Immunology (1.8k citations), Immunology and Allergy (122 citations) and Infectious Diseases (450 citations). Peter Šebo has collaborated with scholars based in Czechia, France and Germany. Frequent co-authors include Radim Osička, Jiří Mašín, Daniel Ladant, Ladislav Bumba, Claude Leclerc, Jana Kamanová, Agnès Ullmann, Irena Linhartová, Adriana Osic̆ková and Marek Basler. Their work appears in journals such as Infection and Immunity, Journal of Biological Chemistry, The Journal of Immunology, Toxins and Scientific Reports.

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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