Patrick C. Rämer
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Epidemiology top 5%
- Autophagy in Disease and Therapy
- Influenza Virus Research Studies
- Cytomegalovirus and herpesvirus research
Papers in ⓘ
-
- Immune Cell Function and Interaction 5
- Immune Response and Inflammation 2
- Co-authors
- Christian Münz (10 shared papers)Till Strowig (2 shared papers)Frida Arrey (2 shared papers)Monique Gannagé (2 shared papers)Sonja Meixlsperger (4 shared papers)Jörn Dengjel (1 shared paper)Gina M. Conenello (1 shared paper)Marc Pypaert (1 shared paper)
- Journals
- PLoS Pathogens (3 papers)Cell Host & Microbe (2 papers)Microbiology Spectrum (2 papers)Blood (2 papers)Autophagy (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Patrick C. Rämer
14 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 82
- Immunology 473
- Epidemiology 539
- Virology 54
- Parasitology 71
- Oncology 293
Countries citing papers authored by Patrick C. Rämer
This map shows the geographic impact of Patrick C. Rämer'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 Patrick C. Rämer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick C. Rämer more than expected).
Fields of papers citing papers by Patrick C. Rämer
This network shows the impact of papers produced by Patrick C. Rämer. 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 Patrick C. Rämer. The network helps show where Patrick C. Rämer may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick C. Rämer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 446 | |
| 2 | 2012 | 124 | |
| 3 | 2016 | 109 | |
| 4 | 2013 | 109 | |
| 5 | 2010 | 86 | |
| 6 | 2014 | 55 | |
| 7 | 2011 | 37 | |
| 8 | 2010 | 27 | |
| 9 | 2015 | 19 | |
| 10 | 2020 | 16 | |
| 11 | 2016 | 11 | |
| 12 | 2023 | 4 | |
| 13 | 2019 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2025 | 0 |
About Patrick C. Rämer
Patrick C. Rämer is a scholar working on Applied Microbiology and Biotechnology, Immunology, Clinical Biochemistry, Pathology and Forensic Medicine and Infectious Diseases, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (5 papers), Immune Cell Function and Interaction (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Cytomegalovirus and herpesvirus research (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Immune Response and Inflammation (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Immunology (473 citations), Epidemiology (539 citations), Virology (54 citations), Parasitology (71 citations) and Oncology (293 citations). Patrick C. Rämer has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Christian Münz, Till Strowig, Frida Arrey, Monique Gannagé, Sonja Meixlsperger, Jörn Dengjel, Gina M. Conenello, Marc Pypaert, Jens Andersen and Adolfo Garcı́a-Sastre. Their work appears in journals such as PLoS Pathogens, Cell Host & Microbe, Microbiology Spectrum, Blood and Autophagy.
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.