Kai Wehkamp
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
- Immunology top 10%
- Immune Response and Inflammation
Papers in
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- Patient-Provider Communication in Healthcare 9
- Patient Satisfaction in Healthcare 2
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- Antimicrobial Peptides and Activities 5
- Co-authors
- Jürgen Harder (6 shared papers)Jens‐Michael Schröder (4 shared papers)Eduard F. Stange (2 shared papers)Jan Wehkamp (3 shared papers)Ulf Meyer‐Hoffert (1 shared paper)U. Sonnenborn (1 shared paper)Klaus Fellermann (2 shared papers)Sabine Nuding (1 shared paper)
- Journals
- BMJ evidence-based medicine (2 papers)BMJ Open (2 papers)Journal of Investigative Dermatology (2 papers)Patient Preference and Adherence (2 papers)Acta Dermato Venereologica (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Kai Wehkamp
22 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 89
- Microbiology 385
- Immunology 333
- Emergency Medical Services 99
- Food Science 179
- Health Informatics 11
Countries citing papers authored by Kai Wehkamp
This map shows the geographic impact of Kai Wehkamp'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 Kai Wehkamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Wehkamp more than expected).
Fields of papers citing papers by Kai Wehkamp
This network shows the impact of papers produced by Kai Wehkamp. 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 Kai Wehkamp. The network helps show where Kai Wehkamp may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Wehkamp, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 381 | |
| 2 | 2005 | 256 | |
| 3 | 2004 | 177 | |
| 4 | 2005 | 75 | |
| 5 | 2021 | 38 | |
| 6 | 2020 | 37 | |
| 7 | 2020 | 15 | |
| 8 | 2023 | 11 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2025 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2017 | 3 |
About Kai Wehkamp
Kai Wehkamp is a scholar working on General Health Professions, Microbiology, Immunology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Patient-Provider Communication in Healthcare (9 papers), Antimicrobial Peptides and Activities (5 papers), Biochemical and Structural Characterization (3 papers), Immune Response and Inflammation (3 papers), Patient Satisfaction in Healthcare (2 papers), Pediatric health and respiratory diseases (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Medical Practices and Rehabilitation (1 paper). The work is most often cited by research in Microbiology (385 citations), Immunology (333 citations), Emergency Medical Services (99 citations), Food Science (179 citations) and Health Informatics (11 citations). Kai Wehkamp has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jürgen Harder, Jens‐Michael Schröder, Eduard F. Stange, Jan Wehkamp, Ulf Meyer‐Hoffert, U. Sonnenborn, Klaus Fellermann, Sabine Nuding, Miriam Schlee and Stig Bengmark. Their work appears in journals such as BMJ evidence-based medicine, BMJ Open, Journal of Investigative Dermatology, Patient Preference and Adherence and Acta Dermato Venereologica.
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.