David Pocalyko
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Enzyme Catalysis and Immobilization 3
- TGF-β signaling in diseases 2
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- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Jiangchun Xu (2 shared papers)Kai Wang (2 shared papers)Brian M. Martin (1 shared paper)Lawrence J. Carroll (1 shared paper)Debra Dunaway‐Mariano (1 shared paper)Patricia C. Babbitt (1 shared paper)Zhi Xie (4 shared papers)Young Il Yeom (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Cancer Research (3 papers)Plastic & Reconstructive Surgery (1 paper)Nature Communications (1 paper)Annals of the Rheumatic Diseases (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
David Pocalyko
23 papers receiving 734 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 190
- Hepatology 54
- Molecular Biology 454
- Rheumatology 63
- Biochemistry 30
Countries citing papers authored by David Pocalyko
This map shows the geographic impact of David Pocalyko'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 David Pocalyko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Pocalyko more than expected).
Fields of papers citing papers by David Pocalyko
This network shows the impact of papers produced by David Pocalyko. 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 David Pocalyko. The network helps show where David Pocalyko may publish in the future.
Co-authors
The 25 scholars most cited alongside David Pocalyko, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 137 | |
| 2 | 2018 | 132 | |
| 3 | 2011 | 118 | |
| 4 | 1990 | 84 | |
| 5 | 2012 | 62 | |
| 6 | 2017 | 45 | |
| 7 | 1998 | 37 | |
| 8 | 2011 | 35 | |
| 9 | 1995 | 16 | |
| 10 | 2010 | 11 | |
| 11 | 2009 | 10 | |
| 12 | 2001 | 10 | |
| 13 | 2007 | 9 | |
| 14 | 2009 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2006 | 6 | |
| 17 | 1997 | 5 | |
| 18 | 1995 | 5 | |
| 19 | 2011 | 4 | |
| 20 | 2011 | 4 |
About David Pocalyko
David Pocalyko is a scholar working on Molecular Biology, Cancer Research, Dermatology, Oncology and Epidemiology, having authored 25 papers that have together received 748 indexed citations. Recurring topics across this work include Nail Diseases and Treatments (5 papers), Dermatology and Skin Diseases (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related Molecular Pathways (4 papers), Contact Dermatitis and Allergies (3 papers), Enzyme Catalysis and Immobilization (3 papers), Advancements in Transdermal Drug Delivery (3 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Cancer Research (190 citations), Hepatology (54 citations), Molecular Biology (454 citations), Rheumatology (63 citations) and Biochemistry (30 citations). David Pocalyko has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Jiangchun Xu, Kai Wang, Brian M. Martin, Lawrence J. Carroll, Debra Dunaway‐Mariano, Patricia C. Babbitt, Zhi Xie, Young Il Yeom, Yuli Wang and Paul A. Rejto. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Cancer Research, Plastic & Reconstructive Surgery, Nature Communications and Annals of the Rheumatic Diseases.
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.