Gerd Ritter
- Immunology top 0.1%
- Immunotherapy and Immune Responses 97
- T-cell and B-cell Immunology 48
- Immune Cell Function and Interaction 38
- Oncology top 0.2%
- Virology top 1%
- HIV Research and Treatment 12
- Molecular Biology top 1%
- Glycosylation and Glycoproteins Research 40
- vaccines and immunoinformatics approaches 35
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- Monoclonal and Polyclonal Antibodies Research 49
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- Cancer Research and Treatments 14
- Co-authors
- Lloyd J. OldSacha GnjaticAchim A. JungbluthYao‐Tseng ChenElke JägerAlexander KnuthKunle OdunsiHiroyoshi Nishikawa
- Cited by
- ImmunologyOncologyVirology
- Journals
- Proceedings of the National Academy of Sciences (18 papers)International Journal of Cancer (11 papers)The Journal of Immunology (9 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Gerd Ritter
181 papers receiving 14.0k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Immunology 9.2k
- Oncology 5.4k
- Virology 649
- Molecular Biology 5.6k
- Radiology, Nuclear Medicine and Imaging 1.8k
Countries citing papers authored by Gerd Ritter
This map shows the geographic impact of Gerd Ritter'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 Gerd Ritter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerd Ritter more than expected).
Fields of papers citing papers by Gerd Ritter
This network shows the impact of papers produced by Gerd Ritter. 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 Gerd Ritter. The network helps show where Gerd Ritter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerd Ritter, 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 | 2017 | 9 | |
| 2 | 2014 | 153 | |
| 3 | 2013 | 52 | |
| 4 | 2012 | 79 | |
| 5 | 2012 | 14 | |
| 6 | 2012 | 43 | |
| 7 | 2010 | 63 | |
| 8 | 2009 | 58 | |
| 9 | 2008 | 18 | |
| 10 | 2008 | 62 | |
| 11 | 2006 | 46 | |
| 12 | 2006 | 43 | |
| 13 | 2005 | 294 | |
| 14 | 2004 | 16 | |
| 15 | 2004 | 148 | |
| 16 | 2004 | 8 | |
| 17 | 2003 | 49 | |
| 18 | 2003 | 383 | |
| 19 | 1996 | 44 | |
| 20 | 1990 | 22 |
About Gerd Ritter
Gerd Ritter is a scholar working on Immunology, Virology, Radiology, Nuclear Medicine and Imaging, Biotechnology and Molecular Biology, having authored 182 papers that have together received 14.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (97 papers), Monoclonal and Polyclonal Antibodies Research (49 papers), T-cell and B-cell Immunology (48 papers), Glycosylation and Glycoproteins Research (40 papers), Immune Cell Function and Interaction (38 papers), vaccines and immunoinformatics approaches (35 papers), Cancer Research and Treatments (14 papers) and HIV Research and Treatment (12 papers). The work is most often cited by research in Immunology (9.2k citations), Oncology (5.4k citations), Virology (649 citations), Molecular Biology (5.6k citations) and Radiology, Nuclear Medicine and Imaging (1.8k citations). Gerd Ritter has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Lloyd J. Old, Sacha Gnjatic, Achim A. Jungbluth, Yao‐Tseng Chen, Elke Jäger, Alexander Knuth, Kunle Odunsi, Hiroyoshi Nishikawa, Shashikant Lele and Elisabeth Stockert. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Cancer, The Journal of Immunology, Blood and Journal of Clinical Oncology.
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.