Mark R. Hurle
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- DNA Repair Mechanisms
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Bioinformatics and Genomic Networks
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 9
- Bioinformatics and Genomic Networks 6
- Glycosylation and Glycoproteins Research 3
- Gene expression and cancer classification 3
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- Enzyme Structure and Function 8
- Co-authors
- Ronald Wetzel (4 shared papers)Stephen Wood (2 shared papers)Pankaj Agarwal (10 shared papers)C. Robert Matthews (7 shared papers)L. Li (1 shared paper)Larry R. Helms (1 shared paper)Wai‐Yee Chan (1 shared paper)Qing Xie (3 shared papers)
- Journals
- Biochemistry (5 papers)Nature Reviews Drug Discovery (2 papers)Protein Engineering Design and Selection (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Proteins Structure Function and Bioinformatics (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mark R. Hurle
32 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.6k
- Computational Theory and Mathematics 322
- Physiology 440
- Cell Biology 251
- Oncology 327
Countries citing papers authored by Mark R. Hurle
This map shows the geographic impact of Mark R. Hurle'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 Mark R. Hurle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark R. Hurle more than expected).
Fields of papers citing papers by Mark R. Hurle
This network shows the impact of papers produced by Mark R. Hurle. 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 Mark R. Hurle. The network helps show where Mark R. Hurle may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark R. Hurle, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 345 | |
| 2 | 1994 | 291 | |
| 3 | 2013 | 282 | |
| 4 | 1995 | 270 | |
| 5 | 1996 | 200 | |
| 6 | 1986 | 92 | |
| 7 | Chfr regulates a mitotic stress pathway through its RING-finger domain with ubiquitin ligase activity. | 2002 | 79 |
| 8 | 2010 | 43 | |
| 9 | 1995 | 43 | |
| 10 | 1987 | 38 | |
| 11 | 2012 | 36 | |
| 12 | 1990 | 33 | |
| 13 | 1986 | 32 | |
| 14 | 2007 | 30 | |
| 15 | 1993 | 29 | |
| 16 | 1990 | 26 | |
| 17 | 2019 | 26 | |
| 18 | 1987 | 25 | |
| 19 | 1992 | 24 | |
| 20 | 1987 | 24 |
About Mark R. Hurle
Mark R. Hurle is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Cell Biology and Biochemistry, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (8 papers), Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (6 papers), Glycosylation and Glycoproteins Research (3 papers), Gene expression and cancer classification (3 papers), Alzheimer's disease research and treatments (3 papers) and Biochemical Acid Research Studies (3 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Computational Theory and Mathematics (322 citations), Physiology (440 citations), Cell Biology (251 citations) and Oncology (327 citations). Mark R. Hurle has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ronald Wetzel, Stephen Wood, Pankaj Agarwal, C. Robert Matthews, L. Li, Larry R. Helms, Wai‐Yee Chan, Qing Xie, Philippe Sanséau and Deepak K. Rajpal. Their work appears in journals such as Biochemistry, Nature Reviews Drug Discovery, Protein Engineering Design and Selection, Arteriosclerosis Thrombosis and Vascular Biology and Proteins Structure Function and Bioinformatics.
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.