Ivan Donev
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Cancer Immunotherapy and Biomarkers
- Inflammatory Biomarkers in Disease Prognosis
- Colorectal Cancer Treatments and Studies
Papers in
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- Circular RNAs in diseases 7
- PI3K/AKT/mTOR signaling in cancer 3
- Oncology 15
- Inflammatory Biomarkers in Disease Prognosis 3
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Nikolay Conev (24 shared papers)Wei Wang (3 shared papers)Tadaaki Yamada (4 shared papers)Saburo Sone (3 shared papers)Yasuhiko Nishioka (3 shared papers)Seiji Yano (3 shared papers)Kunio Matsumoto (3 shared papers)Shinji Takeuchi (2 shared papers)
In The Last Decade
Ivan Donev
35 papers receiving 484 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 132
- Oncology 207
- Pulmonary and Respiratory Medicine 164
- Molecular Biology 250
- Hepatology 24
Countries citing papers authored by Ivan Donev
This map shows the geographic impact of Ivan Donev'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 Donev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Donev more than expected).
Fields of papers citing papers by Ivan Donev
This network shows the impact of papers produced by Ivan Donev. 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 Donev. The network helps show where Ivan Donev may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Donev, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 93 | |
| 2 | 2012 | 55 | |
| 3 | 2011 | 48 | |
| 4 | 2020 | 47 | |
| 5 | 2015 | 38 | |
| 6 | 2019 | 32 | |
| 7 | 2020 | 29 | |
| 8 | 2021 | 17 | |
| 9 | 2022 | 17 | |
| 10 | 2017 | 13 | |
| 11 | 2018 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2017 | 10 | |
| 14 | 2021 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2020 | 5 |
About Ivan Donev
Ivan Donev is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 36 papers that have together received 491 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (7 papers), Lung Cancer Treatments and Mutations (6 papers), Cancer-related molecular mechanisms research (5 papers), Cancer-related cognitive impairment studies (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Cancer Research (132 citations), Oncology (207 citations), Pulmonary and Respiratory Medicine (164 citations), Molecular Biology (250 citations) and Hepatology (24 citations). Ivan Donev has collaborated with scholars based in Bulgaria, Japan and Poland. Frequent co-authors include Nikolay Conev, Wei Wang, Tadaaki Yamada, Saburo Sone, Yasuhiko Nishioka, Seiji Yano, Kunio Matsumoto, Shinji Takeuchi, Maria Radanova and Takao Yamori. Their work appears in journals such as BioScience Trends, Journal of Clinical Oncology, Annals of Oncology, Clinical Cancer Research and Supportive Care in Cancer.
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.