Ivan Shevchenko
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- T-cell and B-cell Immunology
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 9
- Cancer Immunotherapy and Biomarkers 7
- CAR-T cell therapy research 4
- Pancreatic and Hepatic Oncology Research 2
-
- Immune Cell Function and Interaction 4
- Immune cells in cancer 4
- Immunotherapy and Immune Responses 2
- Co-authors
- Alexandr V. Bazhin (6 shared papers)Viktor Umansky (5 shared papers)Jens Werner (5 shared papers)Svetlana Karakhanova (4 shared papers)Dirk Jäger (2 shared papers)Jochen Utikal (3 shared papers)Jagadeesh Bayry (2 shared papers)Rūta Veinalde (1 shared paper)
- Journals
- OncoImmunology (3 papers)Cancer Immunology Immunotherapy (2 papers)Journal of Visualized Experiments (2 papers)Molecular Therapy (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Ivan Shevchenko
13 papers receiving 840 citations
Peers
Comparison fields: 5 of 66
- Immunology 438
- Oncology 498
- Physiology 49
- Genetics 231
- Biotechnology 63
Countries citing papers authored by Ivan Shevchenko
This map shows the geographic impact of Ivan Shevchenko'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 Ivan Shevchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Shevchenko more than expected).
Fields of papers citing papers by Ivan Shevchenko
This network shows the impact of papers produced by Ivan Shevchenko. 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 Ivan Shevchenko. The network helps show where Ivan Shevchenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Shevchenko, 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 | 2014 | 248 | |
| 2 | 2012 | 137 | |
| 3 | 2015 | 88 | |
| 4 | 2017 | 82 | |
| 5 | 2014 | 55 | |
| 6 | 2013 | 52 | |
| 7 | 2020 | 48 | |
| 8 | 2018 | 37 | |
| 9 | 2017 | 35 | |
| 10 | 2018 | 32 | |
| 11 | 2017 | 25 | |
| 12 | 2016 | 11 | |
| 13 | 2016 | 1 |
About Ivan Shevchenko
Ivan Shevchenko is a scholar working on Oncology, Immunology, Genetics, Molecular Biology and Physiology, having authored 13 papers that have together received 851 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Immune Cell Function and Interaction (4 papers), Immune cells in cancer (4 papers), CAR-T cell therapy research (4 papers), Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (438 citations), Oncology (498 citations), Physiology (49 citations), Genetics (231 citations) and Biotechnology (63 citations). Ivan Shevchenko has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Alexandr V. Bazhin, Viktor Umansky, Jens Werner, Svetlana Karakhanova, Dirk Jäger, Jochen Utikal, Jagadeesh Bayry, Rūta Veinalde, Wilko Weichert and Christine E. Engeland. Their work appears in journals such as OncoImmunology, Cancer Immunology Immunotherapy, Journal of Visualized Experiments, Molecular Therapy and The Journal of Immunology.
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.