Ivan Shevchenko
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- CAR-T cell therapy research
- Physiology top 5%
- Adenosine and Purinergic Signaling
Papers in
-
- T-cell and B-cell Immunology 5
- Immune cells in cancer 3
-
- Adenosine and Purinergic Signaling 3
- Co-authors
- Viktor Umansky (8 shared papers)Alexandr V. Bazhin (7 shared papers)Jens Werner (5 shared papers)Svetlana Karakhanova (4 shared papers)Jochen Sven Utikal (3 shared papers)Dirk Jäger (2 shared papers)Jagadeesh Bayry (2 shared papers)Sascha Bossow (1 shared paper)
- Journals
- OncoImmunology (3 papers)Cancer Immunology Immunotherapy (2 papers)The Journal of Immunology (2 papers)Journal of Visualized Experiments (2 papers)Archivum Immunologiae et Therapiae Experimentalis (1 paper)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Ivan Shevchenko
14 papers receiving 889 citations
Peers
Comparison fields: 5 of 50
- Oncology 372
- Physiology 59
- Immunology 289
- Genetics 225
- Drug Discovery 1
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 | 255 | |
| 2 | 2012 | 150 | |
| 3 | 2015 | 90 | |
| 4 | 2017 | 87 | |
| 5 | 2014 | 59 | |
| 6 | 2013 | 54 | |
| 7 | 2020 | 54 | |
| 8 | 2018 | 38 | |
| 9 | 2017 | 36 | |
| 10 | 2018 | 33 | |
| 11 | 2017 | 25 | |
| 12 | 2012 | 11 | |
| 13 | 2016 | 11 | |
| 14 | 2016 | 1 |
About Ivan Shevchenko
Ivan Shevchenko is a scholar working on Immunology, Physiology, Oncology, Genetics and Nuclear Energy and Engineering, having authored 14 papers that have together received 904 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Virus-based gene therapy research (3 papers), Immune cells in cancer (3 papers), Adenosine and Purinergic Signaling (3 papers), Animal Genetics and Reproduction (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Oncology (372 citations), Physiology (59 citations), Immunology (289 citations), Genetics (225 citations) and Drug Discovery (1 citation). Ivan Shevchenko has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Viktor Umansky, Alexandr V. Bazhin, Jens Werner, Svetlana Karakhanova, Jochen Sven Utikal, Dirk Jäger, Jagadeesh Bayry, Sascha Bossow, Dirk M. Nettelbeck and Rūta Veinalde. Their work appears in journals such as OncoImmunology, Cancer Immunology Immunotherapy, The Journal of Immunology, Journal of Visualized Experiments and Archivum Immunologiae et Therapiae Experimentalis.
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.