Markus Reschke
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Immunology top 10%
- Phagocytosis and Immune Regulation
Papers in
-
- Ubiquitin and proteasome pathways 4
- Protein Kinase Regulation and GTPase Signaling 3
- Oncology 16
- Cancer Immunotherapy and Biomarkers 9
- CAR-T cell therapy research 4
- HER2/EGFR in Cancer Research 3
- Co-authors
- Axel Ullrich (5 shared papers)Erwin F. Wagner (5 shared papers)Pjotr Knyazev (3 shared papers)Pier Paolo Pandolfi (8 shared papers)Markus Hutterer (2 shared papers)Ingvar Ferby (2 shared papers)Alexander Fleischmann (1 shared paper)Øivind Hvalby (1 shared paper)
- Journals
- Cancer Research (6 papers)Blood (2 papers)Clinical Cancer Research (2 papers)Nature Medicine (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Markus Reschke
30 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Oncology 542
- Immunology 358
- Cancer Research 226
- Molecular Biology 938
- Hematology 150
Countries citing papers authored by Markus Reschke
This map shows the geographic impact of Markus Reschke'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 Markus Reschke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Reschke more than expected).
Fields of papers citing papers by Markus Reschke
This network shows the impact of papers produced by Markus Reschke. 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 Markus Reschke. The network helps show where Markus Reschke may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Reschke, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 309 | |
| 2 | 2008 | 215 | |
| 3 | 2006 | 204 | |
| 4 | 2014 | 146 | |
| 5 | 2008 | 139 | |
| 6 | 2018 | 134 | |
| 7 | 2009 | 82 | |
| 8 | 2005 | 80 | |
| 9 | 2005 | 71 | |
| 10 | 2009 | 63 | |
| 11 | 2015 | 50 | |
| 12 | 2013 | 42 | |
| 13 | 2013 | 36 | |
| 14 | 2013 | 27 | |
| 15 | 2022 | 18 | |
| 16 | 2010 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2012 | 12 | |
| 19 | 2011 | 12 | |
| 20 | 2018 | 9 |
About Markus Reschke
Markus Reschke is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (4 papers), Ubiquitin and proteasome pathways (4 papers), Acute Myeloid Leukemia Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Oncology (542 citations), Immunology (358 citations), Cancer Research (226 citations), Molecular Biology (938 citations) and Hematology (150 citations). Markus Reschke has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Axel Ullrich, Erwin F. Wagner, Pjotr Knyazev, Pier Paolo Pandolfi, Markus Hutterer, Ingvar Ferby, Alexander Fleischmann, Øivind Hvalby, Vidar R. Jensen and Tatyana Strekalova. Their work appears in journals such as Cancer Research, Blood, Clinical Cancer Research, Nature Medicine and Journal of Clinical Investigation.
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.