Peter Reichmann

28 papers receiving 775 citations

Peers

Peter Reichmann
Comparison fields: 5 of 73
  • Microbiology 197
  • Molecular Medicine 155
  • Equine 29
  • Epidemiology 460
  • Infectious Diseases 170
Replace Jutta Verspohl with:
Jutta Verspohl Germany
J. Rousseau Canada
Bruno Penna Brazil
Hani L. N. Dick Canada
Vanessa Schmidt United Kingdom
Thomas Grönthal Finland
Shigemi Hitomi Japan
Luke C. Heider Canada
Y. Abbott Ireland
Andries J. van Tonder United Kingdom
Peter Reichmann relative to Jutta Verspohl Germany Jutta Verspohl's profile →
Citations per field
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Jutta Verspohl · 1×
Citations per year

Countries citing papers authored by Peter Reichmann

Since Specialization
Citations

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

Fields of papers citing papers by Peter Reichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201098
2 199775
3 200573
4 199570
5 199968
6 200064
7 200763
8 199653
9 200442
10 200040
11 201129
12 200726
13 199322
14 200817
15 20047
16 20097
17 20035
18 20005
19 20045
20 20085

About Peter Reichmann

Peter Reichmann is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases, Small Animals and Microbiology, having authored 30 papers that have together received 798 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (11 papers), Streptococcal Infections and Treatments (8 papers), Bacterial Infections and Vaccines (5 papers), Veterinary Equine Medical Research (5 papers), Leptospirosis research and findings (3 papers), Antibiotic Resistance in Bacteria (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Veterinary Pharmacology and Anesthesia (2 papers). The work is most often cited by research in Microbiology (197 citations), Molecular Medicine (155 citations), Equine (29 citations), Epidemiology (460 citations) and Infectious Diseases (170 citations). Peter Reichmann has collaborated with scholars based in Germany, Brazil and United Kingdom. Frequent co-authors include Regine Hakenbeck, Michael Nuhn, Andrea König, Reinhold Brückner, Thomas Lux, Kurt Mendgen, Beate Weber, Matthias Hahn, Dalia Denapaite and Patrick Maurer. Their work appears in journals such as Journal of Equine Veterinary Science, Journal of Bacteriology, Microbial Drug Resistance, International Journal of Medical Microbiology and Biochemical Journal.

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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