Florian J. Weisel
Impact in
- Immunology top 0.5%
- T-cell and B-cell Immunology
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
- Immunology 20
- T-cell and B-cell Immunology 20
-
- Cytomegalovirus and herpesvirus research 3
- Co-authors
- Mark Jay Shlomchik (17 shared papers)Wei Luo (5 shared papers)Griselda Zuccarino-Catania (2 shared papers)Maria D. Chikina (6 shared papers)Thomas Winkler (9 shared papers)Steven H. Kleinstein (2 shared papers)Silke Meister (1 shared paper)Carsten Wiethe (1 shared paper)
- Journals
- Nature Immunology (6 papers)Immunological Reviews (4 papers)Blood (3 papers)The Journal of Immunology (3 papers)Immunity (3 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Florian J. Weisel
28 papers receiving 3.4k citations
Florian J. Weisel's Hit Papers
Peers
Comparison fields: 5 of 64
- Immunology 1.4k
- Transplantation 60
- Rheumatology 246
- Epidemiology 284
- Infectious Diseases 168
Countries citing papers authored by Florian J. Weisel
This map shows the geographic impact of Florian J. 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 J. 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 J. Weisel more than expected).
Fields of papers citing papers by Florian J. Weisel
This network shows the impact of papers produced by Florian J. 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 J. Weisel. The network helps show where Florian J. Weisel may publish in the future.
Co-authors
The 25 scholars most cited alongside Florian J. 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The proteasome inhibitor bortezomib depletes plasma cells and protects mice with lupus-like disease from nephritis Hit paper breakdown → | 2008 | 498 |
| 2 | 2016 | 410 | |
| 3 | 2014 | 359 | |
| 4 | 2012 | 341 | |
| 5 | 2018 | 270 | |
| 6 | 2017 | 245 | |
| 7 | 2020 | 221 | |
| 8 | 2007 | 172 | |
| 9 | 2011 | 134 | |
| 10 | 2007 | 105 | |
| 11 | 2019 | 102 | |
| 12 | 2020 | 98 | |
| 13 | 2021 | 85 | |
| 14 | 2023 | 62 | |
| 15 | 2019 | 53 | |
| 16 | 2021 | 48 | |
| 17 | 2019 | 46 | |
| 18 | 2016 | 38 | |
| 19 | 2012 | 30 | |
| 20 | 2021 | 30 |
About Florian J. Weisel
Florian J. Weisel is a scholar working on Immunology, Epidemiology, Infectious Diseases, Rheumatology and Physiology, having authored 28 papers that have together received 3.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (20 papers), Cytomegalovirus and herpesvirus research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Systemic Lupus Erythematosus Research (1 paper) and Asthma and respiratory diseases (1 paper). The work is most often cited by research in Immunology (1.4k citations), Transplantation (60 citations), Rheumatology (246 citations), Epidemiology (284 citations) and Infectious Diseases (168 citations). Florian J. Weisel has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Mark Jay Shlomchik, Wei Luo, Griselda Zuccarino-Catania, Maria D. Chikina, Thomas Winkler, Steven H. Kleinstein, Silke Meister, Carsten Wiethe, Reinhard Edmund Voll and Rudolf Armin Manz. Their work appears in journals such as Nature Immunology, Immunological Reviews, Blood, The Journal of Immunology 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.