Raphael Koch
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Oncology top 5%
- CAR-T cell therapy research
Papers in
- Oncology 15
- CAR-T cell therapy research 6
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- Lymphoma Diagnosis and Treatment 10
- Co-authors
- Gerald Georg 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 H. P. Trümper (5 shared papers)David M. Weinstock (5 shared papers)Timo Hupfeld (3 shared papers)
- Journals
- Blood (10 papers)Cancers (3 papers)Leukemia (2 papers)Cancer Cell (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Raphael Koch
38 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 458
- Oncology 634
- Genetics 219
- Pathology and Forensic Medicine 338
- Hematology 213
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 312 | |
| 2 | 2016 | 258 | |
| 3 | 2017 | 246 | |
| 4 | 2019 | 217 | |
| 5 | 2008 | 132 | |
| 6 | 2015 | 116 | |
| 7 | 2020 | 108 | |
| 8 | 2014 | 106 | |
| 9 | 2018 | 84 | |
| 10 | 2009 | 79 | |
| 11 | 2016 | 62 | |
| 12 | 2018 | 46 | |
| 13 | 1997 | 34 | |
| 14 | 2013 | 30 | |
| 15 | 2021 | 28 | |
| 16 | 2023 | 19 | |
| 17 | 2021 | 14 | |
| 18 | 2020 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 1990 | 7 |
About Raphael Koch
Raphael Koch is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Genetics and Hematology, having authored 42 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Ubiquitin and proteasome pathways (7 papers), CAR-T cell therapy research (6 papers), T-cell and Retrovirus Studies (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cutaneous lymphoproliferative disorders research (4 papers), Acute Lymphoblastic Leukemia research (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Cancer Research (458 citations), Oncology (634 citations), Genetics (219 citations), Pathology and Forensic Medicine (338 citations) and Hematology (213 citations). Raphael Koch has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Gerald Georg Wulf, Bjoern Chapuy, Dirk Wenzel, Thiha Aung, Daniel Vogel, Lorenz H. P. Trümper, David M. Weinstock, Timo Hupfeld, Lorenz H. Truemper and Martin Oppermann. Their work appears in journals such as Blood, Cancers, Leukemia, Cancer Cell and Clinical Cancer Research.
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.