Simon Eschweiler
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
-
- Immune Cell Function and Interaction 2
- Immunotherapy and Immune Responses 1
- Immune Response and Inflammation 1
- Oncology 3
- Cancer Immunotherapy and Biomarkers 3
- CAR-T cell therapy research 2
- Co-authors
- Ciro Ramírez-Suástegui (3 shared papers)Christian H. Ottensmeier (4 shared papers)Serena Chee (4 shared papers)Pandurangan Vijayanand (3 shared papers)Ferhat Ay (3 shared papers)Hayley Simon (2 shared papers)Benjamin J. Meckiff (1 shared paper)Grégory Seumois (1 shared paper)
- Journals
- Clinical & Experimental Immunology (1 paper)Nature Immunology (1 paper)Cell Reports (1 paper)Cell (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Simon Eschweiler
5 papers receiving 461 citations
Peers
Comparison fields: 5 of 59
- Infectious Diseases 233
- Immunology 170
- Neurology 96
- Modeling and Simulation 16
- Oncology 76
Countries citing papers authored by Simon Eschweiler
This map shows the geographic impact of Simon Eschweiler'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 Simon Eschweiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Eschweiler more than expected).
Fields of papers citing papers by Simon Eschweiler
This network shows the impact of papers produced by Simon Eschweiler. 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 Simon Eschweiler. The network helps show where Simon Eschweiler may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Eschweiler, 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 | 2020 | 344 | |
| 2 | 2021 | 83 | |
| 3 | 2016 | 27 | |
| 4 | 2023 | 10 | |
| 5 | 2020 | 1 |
About Simon Eschweiler
Simon Eschweiler is a scholar working on Immunology, Oncology, Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health, having authored 5 papers that have together received 465 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Immune Cell Function and Interaction (2 papers), CAR-T cell therapy research (2 papers), COVID-19 Clinical Research Studies (1 paper), Immunotherapy and Immune Responses (1 paper), Neonatal and Maternal Infections (1 paper), Immune Response and Inflammation (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (233 citations), Immunology (170 citations), Neurology (96 citations), Modeling and Simulation (16 citations) and Oncology (76 citations). Simon Eschweiler has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ciro Ramírez-Suástegui, Christian H. Ottensmeier, Serena Chee, Pandurangan Vijayanand, Ferhat Ay, Hayley Simon, Benjamin J. Meckiff, Grégory Seumois, Anthony Kusnadi and Alessandro Sette. Their work appears in journals such as Clinical & Experimental Immunology, Nature Immunology, Cell Reports, Cell and SSRN Electronic Journal.
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.