Hans E. Purkey
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
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- Computational Drug Discovery Methods
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 9
- Enzyme function and inhibition 5
- Protein Kinase Regulation and GTPase Signaling 4
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- Cancer, Hypoxia, and Metabolism 6
- Co-authors
- Jeffery W. Kelly (9 shared papers)James C. Sacchettini (4 shared papers)S.K. Palaninathan (3 shared papers)H. Michael Petrassi (4 shared papers)Kyle P. Chiang (4 shared papers)Evan T. Powers (3 shared papers)Michael I. Dorrell (1 shared paper)Nilofar N. Mohamedmohaideen (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (15 papers)Journal of Medicinal Chemistry (11 papers)ACS Medicinal Chemistry Letters (4 papers)Analytical Chemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Hans E. Purkey
44 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 310
- Computational Theory and Mathematics 310
- Molecular Biology 1.1k
- Organic Chemistry 463
- Physiology 221
Countries citing papers authored by Hans E. Purkey
This map shows the geographic impact of Hans E. Purkey'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 Hans E. Purkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans E. Purkey more than expected).
Fields of papers citing papers by Hans E. Purkey
This network shows the impact of papers produced by Hans E. Purkey. 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 Hans E. Purkey. The network helps show where Hans E. Purkey may publish in the future.
Co-authors
The 25 scholars most cited alongside Hans E. Purkey, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 249 | |
| 2 | 2003 | 242 | |
| 3 | 2016 | 229 | |
| 4 | 1998 | 179 | |
| 5 | 2018 | 131 | |
| 6 | 2004 | 130 | |
| 7 | 2022 | 117 | |
| 8 | 2001 | 108 | |
| 9 | 2002 | 92 | |
| 10 | 2005 | 90 | |
| 11 | 2013 | 83 | |
| 12 | 1999 | 68 | |
| 13 | 2005 | 64 | |
| 14 | 2018 | 63 | |
| 15 | 2019 | 57 | |
| 16 | 2013 | 56 | |
| 17 | 2014 | 54 | |
| 18 | 2016 | 52 | |
| 19 | 2015 | 48 | |
| 20 | 2015 | 45 |
About Hans E. Purkey
Hans E. Purkey is a scholar working on Molecular Biology, Cancer Research, Physiology, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics, having authored 45 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), Alzheimer's disease research and treatments (9 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers), Cancer, Hypoxia, and Metabolism (6 papers), Synthesis and biological activity (6 papers), Enzyme function and inhibition (5 papers), Computational Drug Discovery Methods (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). The work is most often cited by research in Cancer Research (310 citations), Computational Theory and Mathematics (310 citations), Molecular Biology (1.1k citations), Organic Chemistry (463 citations) and Physiology (221 citations). Hans E. Purkey has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jeffery W. Kelly, James C. Sacchettini, S.K. Palaninathan, H. Michael Petrassi, Kyle P. Chiang, Evan T. Powers, Michael I. Dorrell, Nilofar N. Mohamedmohaideen, Thomas Klabunde and Hilal Ahmed Lashuel. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Analytical Chemistry 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.