Ralph Mocikat
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 49
- T-cell and B-cell Immunology 27
- Immunotherapy and Immune Responses 26
- Immune Cell Function and Interaction 25
-
- Monoclonal and Polyclonal Antibodies Research 29
- Co-authors
- Martin RöckenHorst LindhoferHeidi BraumüllerHans G. ZachauS. ThierfelderReinhard MailhammerBoris SteipeOliver Egeter
- Journals
- European Journal of Immunology (6 papers)International Journal of Cancer (5 papers)Blood (5 papers)Nucleic Acids Research (4 papers)Journal of Translational Medicine (2 papers)
- Partner nations
- GermanyAustriaSwitzerland
In The Last Decade
Ralph Mocikat
64 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 90
- Immunology 1.5k
- Oncology 825
- Radiology, Nuclear Medicine and Imaging 463
- Molecular Biology 788
- Cancer Research 172
Countries citing papers authored by Ralph Mocikat
This map shows the geographic impact of Ralph Mocikat'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 Ralph Mocikat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph Mocikat more than expected).
Fields of papers citing papers by Ralph Mocikat
This network shows the impact of papers produced by Ralph Mocikat. 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 Ralph Mocikat. The network helps show where Ralph Mocikat may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralph Mocikat, 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 | 2021 | 5 | |
| 2 | 2018 | 78 | |
| 3 | 2015 | 13 | |
| 4 | La langue allemande pour la science, quel avenir ? | 2014 | 0 |
| 5 | 2013 | 8 | |
| 6 | 2012 | 22 | |
| 7 | 2012 | 24 | |
| 8 | 2009 | 29 | |
| 9 | 2008 | 5 | |
| 10 | 2006 | 9 | |
| 11 | 2005 | 181 | |
| 12 | 2003 | 332 | |
| 13 | 1999 | 16 | |
| 14 | 1999 | 1 | |
| 15 | 1996 | 3 | |
| 16 | 1994 | 9 | |
| 17 | 1994 | 3 | |
| 18 | 1993 | 2 | |
| 19 | 1993 | 11 | |
| 20 | 1986 | 72 |
About Ralph Mocikat
Ralph Mocikat is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Genetics and Molecular Biology, having authored 65 papers that have together received 2.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (29 papers), T-cell and B-cell Immunology (27 papers), Immunotherapy and Immune Responses (26 papers), Immune Cell Function and Interaction (25 papers), CAR-T cell therapy research (20 papers), Cancer Immunotherapy and Biomarkers (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (825 citations), Radiology, Nuclear Medicine and Imaging (463 citations), Molecular Biology (788 citations) and Cancer Research (172 citations). Ralph Mocikat has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Martin Röcken, Horst Lindhofer, Heidi Braumüller, Hans G. Zachau, S. Thierfelder, Reinhard Mailhammer, Boris Steipe, Oliver Egeter, Josef Mysliwietz and Falko G. Falkner. Their work appears in journals such as European Journal of Immunology, International Journal of Cancer, Blood, Nucleic Acids Research and Journal of Translational Medicine.
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.