Florian Weisel
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Transplantation top 5%
Papers in
- Immunology 23
- T-cell and B-cell Immunology 19
- Immune Cell Function and Interaction 19
- Immunotherapy and Immune Responses 11
- Co-authors
- Mark J. Shlomchik (16 shared papers)Wei Luo (5 shared papers)Griselda Zuccarino-Catania (2 shared papers)Maria Chikina (6 shared papers)Thomas Winkler (8 shared papers)Steven H. Kleinstein (2 shared papers)Katrin Moser (1 shared paper)Joachim R. Kalden (1 shared paper)
- Journals
- Nature Immunology (6 papers)Immunological Reviews (4 papers)The Journal of Immunology (3 papers)Blood (3 papers)Immunity (3 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Florian Weisel
26 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 90
- Immunology 2.1k
- Transplantation 73
- Infectious Diseases 276
- Epidemiology 450
- Rheumatology 191
Countries citing papers authored by Florian Weisel
This map shows the geographic impact of Florian Weisel'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 Florian Weisel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Weisel more than expected).
Fields of papers citing papers by Florian Weisel
This network shows the impact of papers produced by Florian Weisel. 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 Florian Weisel. The network helps show where Florian Weisel may publish in the future.
Co-authors
The 25 scholars most cited alongside Florian Weisel, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 465 | |
| 2 | 2016 | 367 | |
| 3 | 2012 | 327 | |
| 4 | 2014 | 325 | |
| 5 | 2018 | 242 | |
| 6 | 2017 | 203 | |
| 7 | 2020 | 192 | |
| 8 | 2007 | 168 | |
| 9 | 2011 | 127 | |
| 10 | 2007 | 105 | |
| 11 | 2019 | 95 | |
| 12 | 2020 | 82 | |
| 13 | 2021 | 74 | |
| 14 | 2023 | 52 | |
| 15 | 2019 | 50 | |
| 16 | 2019 | 43 | |
| 17 | 2021 | 40 | |
| 18 | 2016 | 32 | |
| 19 | 2021 | 30 | |
| 20 | 2012 | 29 |
About Florian Weisel
Florian Weisel is a scholar working on Immunology, Molecular Biology, Epidemiology, Infectious Diseases and Animal Science and Zoology, having authored 27 papers that have together received 3.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (19 papers), Immunotherapy and Immune Responses (11 papers), Cytomegalovirus and herpesvirus research (3 papers), Herpesvirus Infections and Treatments (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Cell Adhesion Molecules Research (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Immunology (2.1k citations), Transplantation (73 citations), Infectious Diseases (276 citations), Epidemiology (450 citations) and Rheumatology (191 citations). Florian Weisel has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Mark J. Shlomchik, Wei Luo, Griselda Zuccarino-Catania, Maria Chikina, Thomas Winkler, Steven H. Kleinstein, Katrin Moser, Joachim R. Kalden, Damián Maseda and Kirsten Neubert. Their work appears in journals such as Nature Immunology, Immunological Reviews, The Journal of Immunology, Blood and Immunity.
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.