E M Kamp

1.6k citations
44 papers · 1.3k · h-index 23

Impact in

  • Microbiology top 0.2%
    • Microbial infections and disease research
    • Diphtheria, Corynebacterium, and Tetanus

Papers in

    • Microbial infections and disease research 36
    • Bacteriophages and microbial interactions 24

E M Kamp

43 papers receiving 1.1k citations

Peers

E M Kamp
Comparison fields: 5 of 62
  • Microbiology 902
  • Endocrinology 121
  • Small Animals 160
  • Ecology 580
  • Virology 75
Replace Katsumi KUME with:
Katsumi KUME Japan
K. R. Mittal Canada
László Makrai Hungary
M. Kobisch France
Sonia Lacouture Canada
Richard F. Ross United States
R. Miserez Switzerland
Alton C. S. Ward United States
Bradley W. Fenwick United States
Subramaniam Srikumaran United States
E M Kamp relative to Katsumi KUME Japan Katsumi KUME's profile →
Citations per field
00.5×3.1×
Katsumi KUME · 1×
Citations per year

Countries citing papers authored by E M Kamp

Since Specialization
Citations

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

Fields of papers citing papers by E M Kamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E M Kamp. 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 M Kamp. The network helps show where E M Kamp may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991106
2 200376
3 200061
4 199558
5 198956
6 199751
7 199950
8 198748
9 198746
10 198945
11 199442
12 199039
13 199339
14 199637
15 198936
16 200233
17 199233
18 198932
19 199132
20 199230

About E M Kamp

E M Kamp is a scholar working on Microbiology, Ecology, Molecular Biology, Small Animals and Epidemiology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microbial infections and disease research (36 papers), Bacteriophages and microbial interactions (24 papers), Bacillus and Francisella bacterial research (6 papers), Antibiotic Resistance in Bacteria (4 papers), Mycobacterium research and diagnosis (4 papers), Infectious Diseases and Mycology (4 papers), Diphtheria, Corynebacterium, and Tetanus (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Microbiology (902 citations), Endocrinology (121 citations), Small Animals (160 citations), Ecology (580 citations) and Virology (75 citations). E M Kamp has collaborated with scholars based in Netherlands, Czechia and Belgium. Frequent co-authors include M.A. Smits, L.A.M.G. van Leengoed, J Briaire, Ruud Jansen, A. L. J. Gielkens, Norbert Stockhofe-Zurwieden, M.C.M. de Jong, A.G.J. Velthuis, N. Stockhofe and Freddy Haesebrouck. Their work appears in journals such as Infection and Immunity, Veterinary Microbiology, Research in Veterinary Science, Journal of Clinical Microbiology and Veterinary Quarterly.

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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