Raphael Koch
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
Papers in
-
- Ubiquitin and proteasome pathways 4
- Protein Degradation and Inhibitors 2
- Oncology 11
- CAR-T cell therapy research 4
- Co-authors
- Gerald Wulf (11 shared papers)Bjoern Chapuy (8 shared papers)Dirk Wenzel (5 shared papers)Thiha Aung (4 shared papers)Daniel Vogel (2 shared papers)Lorenz Trümper (5 shared papers)Timo Hupfeld (3 shared papers)Lorenz Truemper (5 shared papers)
- Journals
- Blood (9 papers)Leukemia (2 papers)Cancers (2 papers)International Journal of Hematology (1 paper)Hematological Oncology (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Raphael Koch
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Cancer Research 369
- Oncology 324
- Pathology and Forensic Medicine 205
- Immunology 237
- Genetics 115
Countries citing papers authored by Raphael Koch
This map shows the geographic impact of Raphael Koch'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 Raphael Koch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Koch more than expected).
Fields of papers citing papers by Raphael Koch
This network shows the impact of papers produced by Raphael Koch. 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 Raphael Koch. The network helps show where Raphael Koch may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphael Koch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 299 | |
| 2 | 2017 | 216 | |
| 3 | 2008 | 128 | |
| 4 | 2015 | 115 | |
| 5 | 2014 | 106 | |
| 6 | 2020 | 99 | |
| 7 | 2009 | 79 | |
| 8 | 2018 | 36 | |
| 9 | 2013 | 32 | |
| 10 | 1997 | 32 | |
| 11 | 2017 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 1990 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2014 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2019 | 4 |
About Raphael Koch
Raphael Koch is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Immunology and Genetics, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), T-cell and Retrovirus Studies (5 papers), Ubiquitin and proteasome pathways (4 papers), CAR-T cell therapy research (4 papers), Cutaneous lymphoproliferative disorders research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Cancer Research (369 citations), Oncology (324 citations), Pathology and Forensic Medicine (205 citations), Immunology (237 citations) and Genetics (115 citations). Raphael Koch has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Gerald Wulf, Bjoern Chapuy, Dirk Wenzel, Thiha Aung, Daniel Vogel, Lorenz Trümper, Timo Hupfeld, Lorenz Truemper, Martin Oppermann and Kerstin Menck. Their work appears in journals such as Blood, Leukemia, Cancers, International Journal of Hematology and Hematological 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.