Viktor Fleming
Impact in
- Immunology top 2%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- Immune cells in cancer 8
- Immune Cell Function and Interaction 4
- Oncology 7
- Cancer Immunotherapy and Biomarkers 3
- Inflammatory Biomarkers in Disease Prognosis 2
- Chemokine receptors and signaling 2
- Co-authors
- Peter Altevogt (7 shared papers)Jochen Sven Utikal (6 shared papers)Rebekka Weber (5 shared papers)Xiaoying Hu (5 shared papers)Christopher Groth (4 shared papers)Viktor Umansky (2 shared papers)Vasyl S. Nagibin (3 shared papers)Viktor Umansky (4 shared papers)
In The Last Decade
Viktor Fleming
11 papers receiving 2.2k citations
Viktor Fleming's Hit Papers
Peers
Comparison fields: 5 of 82
- Immunology 1.5k
- Oncology 986
- Cancer Research 271
- Molecular Biology 577
- Neurology 55
Countries citing papers authored by Viktor Fleming
This map shows the geographic impact of Viktor Fleming'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 Viktor Fleming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor Fleming more than expected).
Fields of papers citing papers by Viktor Fleming
This network shows the impact of papers produced by Viktor Fleming. 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 Viktor Fleming. The network helps show where Viktor Fleming may publish in the future.
Co-authors
The 25 scholars most cited alongside Viktor Fleming, 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 | Immunosuppression mediated by myeloid-derived suppressor cells (MDSCs) during tumour progression Hit paper breakdown → | 2018 | 686 |
| 2 | 2018 | 454 | |
| 3 | 2018 | 390 | |
| 4 | 2018 | 219 | |
| 5 | 2018 | 160 | |
| 6 | 2019 | 118 | |
| 7 | 2016 | 67 | |
| 8 | 2016 | 46 | |
| 9 | 2015 | 23 | |
| 10 | 2005 | 11 | |
| 11 | 2009 | 6 |
About Viktor Fleming
Viktor Fleming is a scholar working on Immunology, Oncology, Radiation, Radiology, Nuclear Medicine and Imaging and Obstetrics and Gynecology, having authored 11 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune cells in cancer (8 papers), Immune Cell Function and Interaction (4 papers), Extracellular vesicles in disease (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Chemokine receptors and signaling (2 papers), Advanced Radiotherapy Techniques (2 papers) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Immunology (1.5k citations), Oncology (986 citations), Cancer Research (271 citations), Molecular Biology (577 citations) and Neurology (55 citations). Viktor Fleming has collaborated with scholars based in Germany, Israel and Italy. Frequent co-authors include Peter Altevogt, Jochen Sven Utikal, Rebekka Weber, Xiaoying Hu, Christopher Groth, Viktor Umansky, Vasyl S. Nagibin, Viktor Umansky, Christoffer Gebhardt and C Blattner. Their work appears in journals such as Cancer Research, Frontiers in Immunology, British Journal of Radiology, British Journal of Cancer 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.