Peter Much

1.0k citations
20 papers · 751 · h-index 15

Impact in

Papers in

    • Salmonella and Campylobacter epidemiology 9
    • Food Safety and Hygiene 5
    • Viral gastroenteritis research and epidemiology 5

Peter Much

19 papers receiving 717 citations

Peers

Peter Much
Comparison fields: 5 of 67
  • Microbiology 242
  • Biotechnology 222
  • Food Science 246
  • Infectious Diseases 190
  • Immunology 123
Replace Jerry R. Roberson with:
Jerry R. Roberson United States
N. Arrigoni Italy
Øystein Angen Denmark
Vesa Myllys Finland
Masuo OGAWA Japan
Ingrid Feder United States
Kadir Serdar Diker Türkiye
M. W. Reeves United States
C Berghold Austria
Flávia Figueira Aburjaile Brazil
Peter Much relative to Jerry R. Roberson United States Jerry R. Roberson's profile →
Citations per field
00.5×4.2×
Jerry R. Roberson · 1×
Citations per year

Countries citing papers authored by Peter Much

Since Specialization
Citations

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

Fields of papers citing papers by Peter Much

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2000102
2 201089
3 200986
4 201079
5 200262
6 200961
7 200950
8 201350
9 200529
10 200323
11 201922
12 200320
13 200120
14 200919
15 200714
16 200913
17 20055
18
Prevalence of Salmonella spp. in Austrian broiler flocks in the context of the EU-wide baseline survey 2005-2006.
20125
19
[Implementation and results of the EU-wide baseline studies on the prevalence of Salmonella spp. in slaughter and breeding pigs in Austria].
20152
20 20190

About Peter Much

Peter Much is a scholar working on Food Science, Infectious Diseases, Microbiology, Biotechnology and Molecular Biology, having authored 20 papers that have together received 751 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (9 papers), Microbial infections and disease research (5 papers), Food Safety and Hygiene (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Listeria monocytogenes in Food Safety (4 papers), Aquaculture disease management and microbiota (3 papers), Animal Nutrition and Physiology (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Microbiology (242 citations), Biotechnology (222 citations), Food Science (246 citations), Infectious Diseases (190 citations) and Immunology (123 citations). Peter Much has collaborated with scholars based in Austria, Germany and Hungary. Frequent co-authors include Franz Allerberger, Renate Rosengarten, Christine Citti, Steliana Huhulescu, Juliane Pichler, Werner Ruppitsch, L. Stipkovits, Joachim Spergser, R. Fretz and Ariane Pietzka. Their work appears in journals such as Eurosurveillance, Infection and Immunity, International Journal of Medical Microbiology, Diagnostic Microbiology and Infectious Disease and Preventive Veterinary Medicine.

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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