H-G Rammensee
- Immunology top 2%
- Molecular Biology
- Oncology
- Radiology, Nuclear Medicine and Imaging top 10%
- Epidemiology
- Co-authors
- Kirsten FalkOlaf RötzschkeStefan StevanovićRoland MartinꝉHubert KalbacherMatthias KalbusHarald KropshoferJ E Coligan
- Topics
- Immunotherapy and Immune Responses (12 papers)Immune Cell Function and Interaction (10 papers)T-cell and B-cell Immunology (8 papers)
- Partner nations
- GermanySwitzerlandJapan
In The Last Decade
H-G Rammensee
14 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Immunology 986
- Molecular Biology 457
- Oncology 204
- Radiology, Nuclear Medicine and Imaging 180
- Epidemiology 130
Countries citing papers authored by H-G Rammensee
This map shows the geographic impact of H-G Rammensee'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 H-G Rammensee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H-G Rammensee more than expected).
Fields of papers citing papers by H-G Rammensee
This network shows the impact of papers produced by H-G Rammensee. 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 H-G Rammensee. The network helps show where H-G Rammensee may publish in the future.
Co-authorship network of co-authors of H-G Rammensee
This figure shows the co-authorship network connecting the top 25 collaborators of H-G Rammensee. A scholar is included among the top collaborators of H-G Rammensee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with H-G Rammensee. H-G Rammensee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | Identification of a novel cancer-testis antigen as a target for the immunotherapy of acute myeloid leukaemia (AML) | 1 |
| 5 | 20 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 38 | |
| 10 | A sensitive ELISPOT assay for detection of CD8+ T lymphocytes specific for HLA class I-binding peptide epitopes derived from influenza proteins in the blood of healthy donors and melanoma patients. | 109 |
| 11 | 107 | |
| 12 | 151 | |
| 13 | Analysis of a naturally occurring HLA class I-restricted viral epitope. | 23 |
| 14 | 39 | |
| 15 | How the quest to identify minor histocompatibility antigens led to something more important. | 1 |
| 16 | Peptides Naturally Presented by MHC Class I Moleculesbreakdown → | 666 |
| 17 | 16 | |
| 18 | Maintenance of self tolerance in CD4+ T lymphocytes by antigen presentation on resting B cells--a hypothesis. | 7 |
About H-G Rammensee
H-G Rammensee is a scholar working on Immunology, Transplantation and Oncology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (8 papers). The work is most often cited by research in Immunology (986 citations), Virology (42 citations) and Radiology, Nuclear Medicine and Imaging (180 citations). H-G Rammensee has collaborated with scholars based in Germany, Switzerland and Japan. Frequent co-authors include Kirsten Falk, Olaf Rötzschke, Stefan Stevanović, Roland Martinꝉ, Hubert Kalbacher, Matthias Kalbus, Harald Kropshofer, J E Coligan, Anne B. Vogt and W. Herr. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and The Journal of Immunology.
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.