Hans-Georg Rammensee
- Immunology top 0.5%
- Immunotherapy and Immune Responses 26
- Immune Cell Function and Interaction 16
- T-cell and B-cell Immunology 16
- Immune Response and Inflammation 5
- Oncology top 5%
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways 9
- vaccines and immunoinformatics approaches 6
- Glycosylation and Glycoproteins Research 5
- Virology top 5%
-
- Monoclonal and Polyclonal Antibodies Research 13
- Co-authors
- Michael J. BevanHansjörg SchildUwe D. StaerzStefan StevanovićTobias P. DickKirsten FalkPamela J. FinkMarkus Schirle
- Cited by
- ImmunologyOncologyMolecular Biology
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Hans-Georg Rammensee
50 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 2.7k
- Oncology 813
- Molecular Biology 1.9k
- Virology 131
- Radiology, Nuclear Medicine and Imaging 607
Countries citing papers authored by Hans-Georg Rammensee
This map shows the geographic impact of Hans-Georg 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 Hans-Georg Rammensee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans-Georg Rammensee more than expected).
Fields of papers citing papers by Hans-Georg Rammensee
This network shows the impact of papers produced by Hans-Georg 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 Hans-Georg Rammensee. The network helps show where Hans-Georg Rammensee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hans-Georg Rammensee, 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 | 2018 | 18 | |
| 2 | 2014 | 29 | |
| 3 | 2013 | 14 | |
| 4 | 2010 | 31 | |
| 5 | 2005 | 267 | |
| 6 | 2004 | 113 | |
| 7 | 2001 | 128 | |
| 8 | 2000 | 292 | |
| 9 | 2000 | 128 | |
| 10 | 1999 | 6 | |
| 11 | 1999 | 11 | |
| 12 | 1998 | 22 | |
| 13 | Her-2/neu-derived peptides are tumor-associated antigens expressed by human renal cell and colon carcinoma lines and are recognized by in vitro induced specific cytotoxic T lymphocytes. | 1998 | 192 |
| 14 | 1998 | 209 | |
| 15 | 1998 | 61 | |
| 16 | 1998 | 34 | |
| 17 | 1997 | 5 | |
| 18 | 1996 | 241 | |
| 19 | 1993 | 53 | |
| 20 | 1993 | 24 |
About Hans-Georg Rammensee
Hans-Georg Rammensee is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 50 papers that have together received 4.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (26 papers), Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (16 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Ubiquitin and proteasome pathways (9 papers), vaccines and immunoinformatics approaches (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Immunology (2.7k citations), Oncology (813 citations) and Molecular Biology (1.9k citations). Hans-Georg Rammensee has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Michael J. Bevan, Hansjörg Schild, Uwe D. Staerz, Stefan Stevanović, Tobias P. Dick, Kirsten Falk, Pamela J. Fink, Markus Schirle, Alexander K. Nussbaum and Stefan Stevanović. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.