Georg Dössinger
Impact in
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
-
- CAR-T cell therapy research
Papers in
- Oncology 4
- CAR-T cell therapy research 4
-
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 1
- Co-authors
- Dirk H. Busch (4 shared papers)Michael Neuenhahn (3 shared papers)Bianca Weißbrich (2 shared papers)Paulina J. Paszkiewicz (2 shared papers)Wolfgang Uckert (2 shared papers)Matthias Schiemann (2 shared papers)Mario Bunse (2 shared papers)Julia Albrecht (2 shared papers)
- Journals
- Scientific Reports (1 paper)Science Translational Medicine (1 paper)PLoS ONE (1 paper)Blood (1 paper)mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (1 paper)
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
Georg Dössinger
4 papers receiving 202 citations
Peers
Comparison fields: 5 of 31
- Immunology 123
- Oncology 117
- Epidemiology 80
- Genetics 43
- Transplantation 4
Countries citing papers authored by Georg Dössinger
This map shows the geographic impact of Georg Dössinger'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 Georg Dössinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Dössinger more than expected).
Fields of papers citing papers by Georg Dössinger
This network shows the impact of papers produced by Georg Dössinger. 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 Georg Dössinger. The network helps show where Georg Dössinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Georg Dössinger, 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 | 2014 | 80 | |
| 2 | 2013 | 75 | |
| 3 | 2013 | 35 | |
| 4 | 2016 | 12 | |
| 5 | MHC multimer purification of rare antigen specific T cells and direct T cell receptor isolation by single cell PCR | 2014 | 0 |
About Georg Dössinger
Georg Dössinger is a scholar working on Oncology, Immunology, Epidemiology, Molecular Biology and Infectious Diseases, having authored 5 papers that have together received 202 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (3 papers), Cytomegalovirus and herpesvirus research (2 papers), CRISPR and Genetic Engineering (1 paper), Immunotherapy and Immune Responses (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Immunology (123 citations), Oncology (117 citations), Epidemiology (80 citations), Genetics (43 citations) and Transplantation (4 citations). Georg Dössinger has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Dirk H. Busch, Michael Neuenhahn, Bianca Weißbrich, Paulina J. Paszkiewicz, Wolfgang Uckert, Matthias Schiemann, Mario Bunse, Julia Albrecht, Rafaela Holtappels and Georg Gasteiger. Their work appears in journals such as Scientific Reports, Science Translational Medicine, PLoS ONE, Blood and mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).
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.