Eugene Tulchinsky
Impact in
- Cancer Research top 1%
- Protease and Inhibitor Mechanisms
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 2%
- Cancer Cells and Metastasis
Papers in
-
- S100 Proteins and Annexins 7
- Cancer-related gene regulation 7
- Genomics and Chromatin Dynamics 5
- Wnt/β-catenin signaling in development and cancer 4
- Oncology 14
- Cancer Cells and Metastasis 9
- Cancer-related Molecular Pathways 6
- Co-authors
- Eugene Lukanidin (15 shared papers)Marina Kriajevska (17 shared papers)Gareth J. Browne (5 shared papers)Mariam Grigorian (11 shared papers)Louise Hill (2 shared papers)Emre Sayan (13 shared papers)Noona Ambartsumian (5 shared papers)Elisabeth Bock (4 shared papers)
- Journals
- Oncogene (10 papers)Journal of Biological Chemistry (5 papers)Molecular and Cellular Biology (2 papers)Gene (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United KingdomDenmarkRussia
In The Last Decade
Eugene Tulchinsky
49 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 1.0k
- Oncology 1.2k
- Molecular Biology 2.7k
- Immunology and Allergy 175
- Immunology 557
Countries citing papers authored by Eugene Tulchinsky
This map shows the geographic impact of Eugene Tulchinsky'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 Eugene Tulchinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Tulchinsky more than expected).
Fields of papers citing papers by Eugene Tulchinsky
This network shows the impact of papers produced by Eugene Tulchinsky. 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 Eugene Tulchinsky. The network helps show where Eugene Tulchinsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene Tulchinsky, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 393 | |
| 2 | 2001 | 264 | |
| 3 | 2012 | 224 | |
| 4 | 2001 | 219 | |
| 5 | 2004 | 181 | |
| 6 | 2007 | 172 | |
| 7 | 1998 | 166 | |
| 8 | 2009 | 158 | |
| 9 | 2018 | 156 | |
| 10 | 2000 | 144 | |
| 11 | 2019 | 119 | |
| 12 | 2002 | 113 | |
| 13 | 2015 | 107 | |
| 14 | 2004 | 97 | |
| 15 | 2023 | 92 | |
| 16 | 2007 | 91 | |
| 17 | 2011 | 87 | |
| 18 | 2012 | 86 | |
| 19 | 2010 | 85 | |
| 20 | 2014 | 68 |
About Eugene Tulchinsky
Eugene Tulchinsky is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Cell Biology, having authored 50 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), S100 Proteins and Annexins (7 papers), Cancer-related gene regulation (7 papers), Cancer-related Molecular Pathways (6 papers), NF-κB Signaling Pathways (5 papers), Genomics and Chromatin Dynamics (5 papers), Phagocytosis and Immune Regulation (5 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). The work is most often cited by research in Cancer Research (1.0k citations), Oncology (1.2k citations), Molecular Biology (2.7k citations), Immunology and Allergy (175 citations) and Immunology (557 citations). Eugene Tulchinsky has collaborated with scholars based in United Kingdom, Denmark and Russia. Frequent co-authors include Eugene Lukanidin, Marina Kriajevska, Gareth J. Browne, Mariam Grigorian, Louise Hill, Emre Sayan, Noona Ambartsumian, Elisabeth Bock, Vladimir Berezin and Amardeep S. Dhillon. Their work appears in journals such as Oncogene, Journal of Biological Chemistry, Molecular and Cellular Biology, Gene and Proceedings of the National Academy of Sciences.
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.