Eugene Tulchinsky

4.9k citations
49 papers · 3.7k indexed · 1 hit paper · h-index 31

Impact in

    • Protease and Inhibitor Mechanisms
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 2%
    • Cancer Cells and Metastasis

Papers in

    • NF-κB Signaling Pathways 5
    • Cancer Cells and Metastasis 9
    • Cancer-related Molecular Pathways 6

Eugene Tulchinsky

49 papers receiving 3.7k citations

Hit Papers

EMT/MET plasticity in cancer and Go-or-Grow decisions in quiescence: the two sides of the same coin? 2023 · 82 citations
822023202620242025255075

Peers

Eugene Tulchinsky
Comparison fields: 5 of 109
  • Cancer Research 1.1k
  • Oncology 1.3k
  • Molecular Biology 2.8k
  • Immunology and Allergy 202
  • Immunology 604
Replace Koh‐ichi Nakashiro with:
Koh‐ichi Nakashiro Japan
Margit A. Huber Germany
Masahiro Aoki Japan
Jiong Deng China
Bram De Craene Belgium
Marie‐Christine Rio France
Isidro Sánchez‐García Spain
Regina S. Whitaker United States
Andreas Eger Austria
Marya F. McCarty United States
Eugene Tulchinsky relative to Koh‐ichi Nakashiro Japan Koh‐ichi Nakashiro's profile →
Citations per field
00.5×1.5×1.8×
Koh‐ichi Nakashiro · 1×
Citations per year

Countries citing papers authored by Eugene Tulchinsky

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Eugene Tulchinsky Line = papers co-authored together Eugene Tulchinsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 202114
3 2018152
4 201720
5 201418
6 201467
7 2013378
8 201277
9 201186
10 201085
11 200791
12 2004179
13 2002112
14 2001214
15 2001261
16 2000141
17 199724
18 199536
19 199462
20 199019

About Eugene Tulchinsky

Eugene Tulchinsky is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Immunology and Allergy, having authored 49 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Cancer-related gene regulation (7 papers), S100 Proteins and Annexins (7 papers), Cancer-related Molecular Pathways (6 papers), Genomics and Chromatin Dynamics (5 papers), Phagocytosis and Immune Regulation (5 papers), NF-κB Signaling Pathways (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.3k citations), Molecular Biology (2.8k citations), Immunology and Allergy (202 citations) and Immunology (604 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, Proceedings of the National Academy of Sciences, Gene and Cell Death and Disease.

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.

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