E. Munch‐Petersen

644 citations
17 papers · 123 · h-index 7

Impact in

Papers in

E. Munch‐Petersen

14 papers receiving 104 citations

Peers

E. Munch‐Petersen
Comparison fields: 5 of 42
  • Agronomy and Crop Science 53
  • Microbiology 13
  • Endocrinology 10
  • Applied Microbiology and Biotechnology 3
  • Molecular Medicine 8
Replace H. R. Whitehead with:
H. R. Whitehead New Zealand
Br. Bloch South Africa
R. Lovell United Kingdom
Amanda Pimenta Siqueira Brazil
E. Di Labio Switzerland
Andrés Ceballos-Garzón Colombia
Pablo Pareja-Tobes Spain
E.N. Escobar United States
J. Szteyn Poland
Gi Beom Keum South Korea
E. Munch‐Petersen relative to H. R. Whitehead New Zealand H. R. Whitehead's profile →
Citations per field
00.5×2.7×
H. R. Whitehead · 1×
Citations per year

Countries citing papers authored by E. Munch‐Petersen

Since Specialization
Citations

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

Fields of papers citing papers by E. Munch‐Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Munch‐Petersen. 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 E. Munch‐Petersen. The network helps show where E. Munch‐Petersen may publish in the future.

Co-authors

The 2 scholars most cited alongside E. Munch‐Petersen, 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 E. Munch‐Petersen Line = papers co-authored together E. Munch‐Petersen links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Yearly incidence of penicillin-resistant staphylococci in man since 1942.
196223
2 197018
3 196815
4 195414
5 196513
6
Food-borne epidemics due to staphylococci.
196011
7 19639
8 19634
9 19613
10 19593
11
Staphylococcal carriage in man. An attempt at a quantitative survey.
19613
12 19582
13
Yeasts in the rumen of ruminants.
19631
14
A comparison of four culture media for the demonstration of staphylococci in milk.
19701
15
A new culture medium for rumen bacteria.
19641
16 19631
17 19541

About E. Munch‐Petersen

E. Munch‐Petersen is a scholar working on Agronomy and Crop Science, Microbiology, Molecular Biology, Animal Science and Zoology and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 123 indexed citations. Recurring topics across this work include Microbial infections and disease research (5 papers), Ruminant Nutrition and Digestive Physiology (3 papers), Milk Quality and Mastitis in Dairy Cows (3 papers), Streptococcal Infections and Treatments (2 papers), Neonatal and Maternal Infections (2 papers), Identification and Quantification in Food (2 papers), Infection Control and Ventilation (1 paper) and Meat and Animal Product Quality (1 paper). The work is most often cited by research in Agronomy and Crop Science (53 citations), Microbiology (13 citations), Endocrinology (10 citations), Applied Microbiology and Biotechnology (3 citations) and Molecular Medicine (8 citations). E. Munch‐Petersen has collaborated with scholars based in Australia, Vietnam and Belize. Frequent co-authors include M. R. Gardiner and Darragh Murnane. Their work appears in journals such as Australian Veterinary Journal, Immunology and Cell Biology, Australian Journal of Dairy Technology, Journal of Food Science and Veterinary Record.

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.

Explore authors with similar magnitude of impact