Jonathan Pollock
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
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- Chromatin Remodeling and Cancer
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
Papers in
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- Acute Myeloid Leukemia Research 4
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- Computational Drug Discovery Methods 4
- Co-authors
- Trupta Purohit (6 shared papers)Jolanta E. Grembecka (6 shared papers)Tomasz Cierpicki (6 shared papers)Dmitry Borkin (3 shared papers)Edyta Dyguda‐Kazimierowicz (1 shared paper)George Lund (1 shared paper)Hongzhi Z. Miao (3 shared papers)Shihan He (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (5 papers)Blood (1 paper)Nature Chemical Biology (1 paper)Nature (1 paper)Cancer Cell (1 paper)
- Partner nations
- United StatesPolandSpain
In The Last Decade
Jonathan Pollock
12 papers receiving 732 citations
Jonathan Pollock's Hit Papers
Peers
Comparison fields: 5 of 47
- Hematology 307
- Molecular Biology 370
- Computational Theory and Mathematics 84
- Pharmaceutical Science 26
- Organic Chemistry 87
Countries citing papers authored by Jonathan Pollock
This map shows the geographic impact of Jonathan Pollock'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 Jonathan Pollock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Pollock more than expected).
Fields of papers citing papers by Jonathan Pollock
This network shows the impact of papers produced by Jonathan Pollock. 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 Jonathan Pollock. The network helps show where Jonathan Pollock may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Pollock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 321 | |
| 2 | 2015 | 89 | |
| 3 | 2014 | 85 | |
| 4 | Chemoproteomic discovery of a covalent allosteric inhibitor of WRN helicase Hit paper breakdown → | 2024 | 77 |
| 5 | 2016 | 66 | |
| 6 | 2018 | 55 | |
| 7 | 2014 | 35 | |
| 8 | 2025 | 9 | |
| 9 | 2025 | 8 | |
| 10 | 2020 | 7 | |
| 11 | 2025 | 2 | |
| 12 | 2026 | 2 |
About Jonathan Pollock
Jonathan Pollock is a scholar working on Hematology, Computational Theory and Mathematics, Molecular Biology, Pharmaceutical Science and Organic Chemistry, having authored 12 papers that have together received 756 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Computational Drug Discovery Methods (4 papers), Cancer therapeutics and mechanisms (2 papers), Protein Degradation and Inhibitors (2 papers), Click Chemistry and Applications (2 papers), Chromatin Remodeling and Cancer (2 papers), Genomics and Chromatin Dynamics (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Hematology (307 citations), Molecular Biology (370 citations), Computational Theory and Mathematics (84 citations), Pharmaceutical Science (26 citations) and Organic Chemistry (87 citations). Jonathan Pollock has collaborated with scholars based in United States, Poland and Spain. Frequent co-authors include Trupta Purohit, Jolanta E. Grembecka, Tomasz Cierpicki, Dmitry Borkin, Edyta Dyguda‐Kazimierowicz, George Lund, Hongzhi Z. Miao, Shihan He, Bo Wen and Duxin Sun. Their work appears in journals such as Journal of Medicinal Chemistry, Blood, Nature Chemical Biology, Nature and Cancer Cell.
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.