John Strelow
Impact in
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- Computational Drug Discovery Methods
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- Click Chemistry and Applications
Papers in
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- Cancer-related gene regulation 2
- Epigenetics and DNA Methylation 2
- Protein Degradation and Inhibitors 1
- Protein Tyrosine Phosphatases 1
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- Click Chemistry and Applications 2
- Co-authors
- Jeffrey A Radding (1 shared paper)Harold B. Brooks (1 shared paper)Walthère Dewé (1 shared paper)Jeffrey R. Weidner (1 shared paper)J McGee (1 shared paper)Jayme L. Dahlin (1 shared paper)Jarrod Walsh (1 shared paper)Douglas S. Auld (1 shared paper)
- Journals
- SLAS DISCOVERY (2 papers)ACS Medicinal Chemistry Letters (2 papers)Bioorganic & Medicinal Chemistry Letters (1 paper)Cancer Research (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
John Strelow
9 papers receiving 350 citations
Peers
Comparison fields: 5 of 68
- Computational Theory and Mathematics 84
- Organic Chemistry 129
- Molecular Biology 247
- Genetics 29
- Oncology 65
Countries citing papers authored by John Strelow
This map shows the geographic impact of John Strelow'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 John Strelow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Strelow more than expected).
Fields of papers citing papers by John Strelow
This network shows the impact of papers produced by John Strelow. 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 John Strelow. The network helps show where John Strelow may publish in the future.
Co-authors
The 25 scholars most cited alongside John Strelow, 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 | 2016 | 242 | |
| 2 | Mechanism of Action Assays for Enzymes | 2012 | 36 |
| 3 | 2021 | 33 | |
| 4 | 2018 | 14 | |
| 5 | 2009 | 11 | |
| 6 | 2018 | 10 | |
| 7 | 2019 | 9 | |
| 8 | 2016 | 6 | |
| 9 | 2015 | 4 |
About John Strelow
John Strelow is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Computational Theory and Mathematics and Cancer Research, having authored 9 papers that have together received 365 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Click Chemistry and Applications (2 papers), Cancer-related gene regulation (2 papers), Epigenetics and DNA Methylation (2 papers), Peptidase Inhibition and Analysis (2 papers), Cancer Genomics and Diagnostics (1 paper), Protein Degradation and Inhibitors (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Computational Theory and Mathematics (84 citations), Organic Chemistry (129 citations), Molecular Biology (247 citations), Genetics (29 citations) and Oncology (65 citations). John Strelow has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Jeffrey A Radding, Harold B. Brooks, Walthère Dewé, Jeffrey R. Weidner, J McGee, Jayme L. Dahlin, Jarrod Walsh, Douglas S. Auld, Ina Rothenaigner and Lori Ferrins. Their work appears in journals such as SLAS DISCOVERY, ACS Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry Letters, Cancer Research and Methods in enzymology on CD-ROM/Methods in enzymology.
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.