Jan Rupp
Impact in
- Microbiology top 0.2%
- Reproductive tract infections research
- Immunology top 2%
- Immune Response and Inflammation
- Reproductive System and Pregnancy
Papers in ⓘ
- Microbiology 69
- Reproductive tract infections research 64
- Immunology 53
- Immune Response and Inflammation 22
- Reproductive System and Pregnancy 15
- Co-authors
- Matthias Maass (21 shared papers)Werner Solbach (24 shared papers)Klaus Dalhoff (23 shared papers)Kensuke Shima (26 shared papers)Jens Gieffers (12 shared papers)Matthias Klinger (13 shared papers)Simon Graspeuntner (24 shared papers)Ger van Zandbergen (6 shared papers)
- Journals
- Scientific Reports (7 papers)PLoS ONE (6 papers)Microbes and Infection (5 papers)Microbiology Spectrum (5 papers)Antimicrobial Agents and Chemotherapy (5 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Jan Rupp
200 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 145
- Microbiology 1.0k
- Immunology 988
- Epidemiology 1.4k
- Biological Psychiatry 83
- Infectious Diseases 582
Countries citing papers authored by Jan Rupp
This map shows the geographic impact of Jan Rupp'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 Jan Rupp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Rupp more than expected).
Fields of papers citing papers by Jan Rupp
This network shows the impact of papers produced by Jan Rupp. 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 Jan Rupp. The network helps show where Jan Rupp may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Rupp, 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 216 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 126 | |
| 2 | 2000 | 121 | |
| 3 | 2012 | 110 | |
| 4 | 2018 | 107 | |
| 5 | 2004 | 95 | |
| 6 | 2015 | 85 | |
| 7 | 2007 | 77 | |
| 8 | 2014 | 70 | |
| 9 | 2018 | 65 | |
| 10 | 2020 | 64 | |
| 11 | 2016 | 63 | |
| 12 | 2015 | 57 | |
| 13 | 2010 | 56 | |
| 14 | 2009 | 56 | |
| 15 | 2013 | 55 | |
| 16 | 2010 | 55 | |
| 17 | 2017 | 53 | |
| 18 | 2010 | 52 | |
| 19 | 2003 | 52 | |
| 20 | 2010 | 51 |
About Jan Rupp
Jan Rupp is a scholar working on Microbiology, Immunology, Epidemiology, Infectious Diseases and Applied Microbiology and Biotechnology, having authored 216 papers that have together received 4.2k indexed citations. Recurring topics across this work include Reproductive tract infections research (64 papers), Urinary Tract Infections Management (31 papers), Pneumonia and Respiratory Infections (27 papers), Immune Response and Inflammation (22 papers), Gut microbiota and health (21 papers), Neonatal Respiratory Health Research (18 papers), Reproductive System and Pregnancy (15 papers) and Neonatal and Maternal Infections (13 papers). The work is most often cited by research in Microbiology (1.0k citations), Immunology (988 citations), Epidemiology (1.4k citations), Biological Psychiatry (83 citations) and Infectious Diseases (582 citations). Jan Rupp has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Matthias Maass, Werner Solbach, Klaus Dalhoff, Kensuke Shima, Jens Gieffers, Matthias Klinger, Simon Graspeuntner, Ger van Zandbergen, P. Zabel and H. Kothe. Their work appears in journals such as Scientific Reports, PLoS ONE, Microbes and Infection, Microbiology Spectrum and Antimicrobial Agents and Chemotherapy.
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.