Ralf Krumkamp
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Viral gastroenteritis research and epidemiology 7
- Viral Infections and Outbreaks Research 5
-
- COVID-19 epidemiological studies 9
- Co-authors
- Jürgen May (51 shared papers)Nimako Sarpong (27 shared papers)Daniel Eibach (23 shared papers)Yaw Adu‐Sarkodie (20 shared papers)Ralf Reintjes (10 shared papers)Egbert Tannich (12 shared papers)Denise Myriam Dekker (19 shared papers)Ellis Owusu‐Dabo (19 shared papers)
- Journals
- Tropical Medicine & International Health (7 papers)PLoS ONE (7 papers)BMC Infectious Diseases (4 papers)Scientific Reports (4 papers)Clinical Microbiology and Infection (3 papers)
- Partner nations
- GermanyGhanaSouth Korea
In The Last Decade
Ralf Krumkamp
75 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 126
- Molecular Medicine 261
- Applied Microbiology and Biotechnology 65
- Endocrinology 145
- Modeling and Simulation 129
- Infectious Diseases 494
Countries citing papers authored by Ralf Krumkamp
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
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.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 135 | |
| 2 | 2014 | 128 | |
| 3 | 2012 | 75 | |
| 4 | 2010 | 66 | |
| 5 | 2015 | 63 | |
| 6 | 2018 | 58 | |
| 7 | 2013 | 54 | |
| 8 | 2016 | 53 | |
| 9 | 2009 | 51 | |
| 10 | 2016 | 50 | |
| 11 | 2016 | 48 | |
| 12 | 2015 | 45 | |
| 13 | 2017 | 45 | |
| 14 | 2016 | 41 | |
| 15 | 2019 | 40 | |
| 16 | 2017 | 38 | |
| 17 | 2021 | 34 | |
| 18 | 2021 | 34 | |
| 19 | 2019 | 31 | |
| 20 | 2015 | 30 |
About Ralf Krumkamp
Ralf Krumkamp is a scholar working on Infectious Diseases, Modeling and Simulation, Food Science, Molecular Medicine and Endocrinology, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (11 papers), COVID-19 epidemiological studies (9 papers), Malaria Research and Control (8 papers), Viral gastroenteritis research and epidemiology (7 papers), Antibiotic Resistance in Bacteria (6 papers), Influenza Virus Research Studies (5 papers), Viral Infections and Outbreaks Research (5 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Molecular Medicine (261 citations), Applied Microbiology and Biotechnology (65 citations), Endocrinology (145 citations), Modeling and Simulation (129 citations) and Infectious Diseases (494 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, Ralf Reintjes, Egbert Tannich, Denise Myriam Dekker, Ellis Owusu‐Dabo, Julius Najah Fobil and Johanna Brinkel. Their work appears in journals such as Tropical Medicine & International Health, PLoS ONE, BMC Infectious Diseases, Scientific Reports and Clinical Microbiology and Infection.
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.