Jan Diekmann
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 11
- Immunotherapy and Immune Responses 9
- Immune Cell Function and Interaction 3
-
- vaccines and immunoinformatics approaches 5
- RNA Interference and Gene Delivery 2
- Co-authors
- Uğur Şahin (9 shared papers)Özlem Türeci (8 shared papers)Sebastian Kreiter (7 shared papers)Christoph Huber (4 shared papers)Mustafa Diken (6 shared papers)Niels van de Roemer (3 shared papers)Sebastian Boegel (4 shared papers)Martin Löwer (4 shared papers)
- Journals
- The Journal of Immunology (2 papers)Cancer Immunology Research (2 papers)Cancer Research (2 papers)British Journal of Cancer (1 paper)Vaccines (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Jan Diekmann
12 papers receiving 1.8k citations
Jan Diekmann's Hit Papers
Peers
Comparison fields: 5 of 78
- Immunology 1.4k
- Oncology 1.1k
- Molecular Biology 717
- Radiology, Nuclear Medicine and Imaging 177
- Cancer Research 109
Countries citing papers authored by Jan Diekmann
This map shows the geographic impact of Jan Diekmann'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 Diekmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Diekmann more than expected).
Fields of papers citing papers by Jan Diekmann
This network shows the impact of papers produced by Jan Diekmann. 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 Diekmann. The network helps show where Jan Diekmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Diekmann, 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 | Mutant MHC class II epitopes drive therapeutic immune responses to cancer Hit paper breakdown → | 2015 | 915 |
| 2 | Exploiting the Mutanome for Tumor Vaccination Hit paper breakdown → | 2012 | 617 |
| 3 | 2011 | 62 | |
| 4 | 2021 | 55 | |
| 5 | 2013 | 39 | |
| 6 | 2014 | 31 | |
| 7 | 2007 | 20 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2009 | 15 | |
| 11 | 2016 | 1 | |
| 12 | 2012 | 1 |
About Jan Diekmann
Jan Diekmann is a scholar working on Immunology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), vaccines and immunoinformatics approaches (5 papers), Immune Cell Function and Interaction (3 papers), RNA Interference and Gene Delivery (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer Genomics and Diagnostics (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Immunology (1.4k citations), Oncology (1.1k citations), Molecular Biology (717 citations), Radiology, Nuclear Medicine and Imaging (177 citations) and Cancer Research (109 citations). Jan Diekmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Uğur Şahin, Özlem Türeci, Sebastian Kreiter, Christoph Huber, Mustafa Diken, Niels van de Roemer, Sebastian Boegel, Martin Löwer, Fulvia Vascotto and John C. Castle. Their work appears in journals such as The Journal of Immunology, Cancer Immunology Research, Cancer Research, British Journal of Cancer and Vaccines.
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.