Ralf Krumkamp

74 papers receiving 1.7k citations

Peers

Ralf Krumkamp
Comparison fields: 5 of 130
  • Molecular Medicine 289
  • Applied Microbiology and Biotechnology 91
  • Endocrinology 188
  • Modeling and Simulation 169
  • Infectious Diseases 603
Replace Seif Al-Abri with:
Seif Al-Abri Oman
Godfrey Bigogo Kenya
Vincent Richard Madagascar
Yaw Adu‐Sarkodie Ghana
Florian Marks South Korea
José Marı́a Eiros Bouza Spain
Nathan A. Ledeboer United States
Celia Alpuche‐Aranda Mexico
Jacques Boncy United States
Linda Hoang Canada
Ralf Krumkamp relative to Seif Al-Abri Oman Seif Al-Abri's profile →
Citations per field
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Seif Al-Abri · 1×
Citations per year

Countries citing papers authored by Ralf Krumkamp

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Krumkamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019121
2 2014109
3 201275
4 201067
5 201562
6 201854
7 201650
8 201348
9 201647
10 200946
11 201545
12 201745
13 201645
14 201640
15 201935
16 201733
17 202132
18 202131
19 201231
20 201829

About Ralf Krumkamp

Ralf Krumkamp is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Food Science and Modeling and Simulation, having authored 77 papers that have together received 1.7k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (13 papers), COVID-19 epidemiological studies (13 papers), Salmonella and Campylobacter epidemiology (12 papers), Malaria Research and Control (10 papers), Mosquito-borne diseases and control (10 papers), Influenza Virus Research Studies (9 papers), Viral Infections and Outbreaks Research (9 papers) and Vibrio bacteria research studies (8 papers). The work is most often cited by research in Molecular Medicine (289 citations), Applied Microbiology and Biotechnology (91 citations), Endocrinology (188 citations), Modeling and Simulation (169 citations) and Infectious Diseases (603 citations). Ralf Krumkamp has collaborated with scholars based in Germany, Ghana and South Korea. Frequent co-authors include Jürgen May, Nimako Sarpong, Daniel Eibach, Yaw Adu‐Sarkodie, Egbert Tannich, Ralf Reintjes, Ellis Owusu‐Dabo, Denise Dekker, Julius N. Fobil and Johanna Brinkel. Their work appears in journals such as Tropical Medicine & International Health, PLoS ONE, Scientific Reports, BMC Infectious Diseases and International Journal of Infectious Diseases.

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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