Ivan Ischenko
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 5
- Angiogenesis and VEGF in Cancer 4
- Ubiquitin and proteasome pathways 2
- Oncology 12
- Cancer Cells and Metastasis 8
- Pancreatic and Hepatic Oncology Research 4
- Co-authors
- Christiane J. Bruns (24 shared papers)Karl‐Walter Jauch (15 shared papers)Hendrik Seeliger (11 shared papers)Martin Eichhorn (7 shared papers)Peter Čamaj (8 shared papers)Axel Kleespies (6 shared papers)Markus Guba (6 shared papers)A. Papyan (5 shared papers)
- Journals
- International Journal of Cancer (2 papers)Targeted Oncology (2 papers)Clinical Cancer Research (1 paper)Blood (1 paper)Oncogene (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Ivan Ischenko
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Oncology 460
- Cancer Research 246
- Biotechnology 99
- Genetics 106
- Molecular Biology 566
Countries citing papers authored by Ivan Ischenko
This map shows the geographic impact of Ivan Ischenko'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 Ischenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Ischenko more than expected).
Fields of papers citing papers by Ivan Ischenko
This network shows the impact of papers produced by Ivan Ischenko. 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 Ischenko. The network helps show where Ivan Ischenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Ischenko, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 130 | |
| 2 | 2005 | 112 | |
| 3 | 2015 | 86 | |
| 4 | 2008 | 86 | |
| 5 | 2010 | 85 | |
| 6 | 2009 | 81 | |
| 7 | 2011 | 77 | |
| 8 | 2009 | 76 | |
| 9 | 2009 | 69 | |
| 10 | 2008 | 63 | |
| 11 | 2007 | 61 | |
| 12 | 2007 | 46 | |
| 13 | 2014 | 46 | |
| 14 | 2009 | 40 | |
| 15 | 2005 | 40 | |
| 16 | 2005 | 35 | |
| 17 | 2008 | 34 | |
| 18 | 2007 | 27 | |
| 19 | 2010 | 21 | |
| 20 | 2008 | 12 |
About Ivan Ischenko
Ivan Ischenko is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Cancer Mechanisms and Therapy (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Cancer Research and Treatments (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Oncology (460 citations), Cancer Research (246 citations), Biotechnology (99 citations), Genetics (106 citations) and Molecular Biology (566 citations). Ivan Ischenko has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christiane J. Bruns, Karl‐Walter Jauch, Hendrik Seeliger, Martin Eichhorn, Peter Čamaj, Axel Kleespies, Markus Guba, A. Papyan, Christian Graeb and Hanno Nieß. Their work appears in journals such as International Journal of Cancer, Targeted Oncology, Clinical Cancer Research, Blood and Oncogene.
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.