David Pocalyko
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Enzyme Catalysis and Immobilization 3
- Plant Reproductive Biology 2
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- Dermatology and Skin Diseases 4
- Contact Dermatitis and Allergies 3
- Co-authors
- Kai Wang (2 shared papers)Jiangchun Xu (2 shared papers)Debra Dunaway‐Mariano (1 shared paper)Zhi Xie (4 shared papers)Brian M. Martin (1 shared paper)Patricia C. Babbitt (1 shared paper)Lawrence J. Carroll (1 shared paper)Yuli Wang (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Cancer Research (3 papers)Frontiers in Genetics (1 paper)Communications Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
David Pocalyko
24 papers receiving 765 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 169
- Hepatology 48
- Molecular Biology 411
- Rheumatology 59
- Biochemistry 29
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 142 | |
| 2 | 2018 | 135 | |
| 3 | 2011 | 129 | |
| 4 | 1990 | 85 | |
| 5 | 2012 | 65 | |
| 6 | 2017 | 47 | |
| 7 | 1998 | 38 | |
| 8 | 2011 | 35 | |
| 9 | 1995 | 17 | |
| 10 | 2010 | 12 | |
| 11 | 2001 | 11 | |
| 12 | 2009 | 10 | |
| 13 | 2007 | 9 | |
| 14 | 2019 | 7 | |
| 15 | 2009 | 7 | |
| 16 | 2006 | 6 | |
| 17 | 1997 | 6 | |
| 18 | 1995 | 5 | |
| 19 | 2011 | 4 | |
| 20 | 2011 | 4 |
About David Pocalyko
David Pocalyko is a scholar working on Molecular Biology, Dermatology, Epidemiology, Cancer Research and Oncology, having authored 26 papers that have together received 781 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), Enzyme Catalysis and Immobilization (3 papers), Cancer-related Molecular Pathways (3 papers), Advancements in Transdermal Drug Delivery (3 papers), Contact Dermatitis and Allergies (3 papers) and Plant Reproductive Biology (2 papers). The work is most often cited by research in Cancer Research (169 citations), Hepatology (48 citations), Molecular Biology (411 citations), Rheumatology (59 citations) and Biochemistry (29 citations). David Pocalyko has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Kai Wang, Jiangchun Xu, Debra Dunaway‐Mariano, Zhi Xie, Brian M. Martin, Patricia C. Babbitt, Lawrence J. Carroll, Yuli Wang, Young Il Yeom and Hyang‐Sook Yoo. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Cancer Research, Frontiers in Genetics, Communications Biology and Nature Communications.
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.