John M. Strelow
Impact in
-
- Chronic Lymphocytic Leukemia Research
- Organic Chemistry top 10%
- Click Chemistry and Applications
Papers in
- Co-authors
- Jeffrey A Radding (1 shared paper)Walthère Dewé (1 shared paper)Harold B. Brooks (1 shared paper)Jeffrey R. Weidner (1 shared paper)James E. McGee (1 shared paper)David N. Deaton (1 shared paper)Jeffrey W. Gross (2 shared papers)Enoch N. Gao (1 shared paper)
- Journals
- ACS Medicinal Chemistry Letters (2 papers)SLAS DISCOVERY (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Cell chemical biology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
John M. Strelow
10 papers receiving 492 citations
Peers
Comparison fields: 5 of 77
- Genetics 61
- Organic Chemistry 167
- Computational Theory and Mathematics 103
- Molecular Biology 314
- Oncology 102
Countries citing papers authored by John M. Strelow
This map shows the geographic impact of John M. 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 M. 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 M. Strelow more than expected).
Fields of papers citing papers by John M. Strelow
This network shows the impact of papers produced by John M. 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 M. Strelow. The network helps show where John M. Strelow may publish in the future.
Co-authors
The 25 scholars most cited alongside John M. 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 | 303 | |
| 2 | 2013 | 58 | |
| 3 | 2021 | 47 | |
| 4 | Mechanism of Action Assays for Enzymes | 2012 | 37 |
| 5 | 2007 | 22 | |
| 6 | 2018 | 18 | |
| 7 | 2009 | 13 | |
| 8 | 2018 | 11 | |
| 9 | 2016 | 8 | |
| 10 | 2015 | 4 |
About John M. Strelow
John M. Strelow is a scholar working on Genetics, Oncology, Molecular Biology, Computational Theory and Mathematics and Biotechnology, having authored 10 papers that have together received 521 indexed citations. Recurring topics across this work include Click Chemistry and Applications (2 papers), Cancer-related gene regulation (2 papers), Computational Drug Discovery Methods (2 papers), Epigenetics and DNA Methylation (2 papers), Peptidase Inhibition and Analysis (2 papers), Ubiquitin and proteasome pathways (1 paper), Protein Tyrosine Phosphatases (1 paper) and Renin-Angiotensin System Studies (1 paper). The work is most often cited by research in Genetics (61 citations), Organic Chemistry (167 citations), Computational Theory and Mathematics (103 citations), Molecular Biology (314 citations) and Oncology (102 citations). John M. Strelow has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jeffrey A Radding, Walthère Dewé, Harold B. Brooks, Jeffrey R. Weidner, James E. McGee, David N. Deaton, Jeffrey W. Gross, Enoch N. Gao, Aaron B. Miller and Ina Rothenaigner. Their work appears in journals such as ACS Medicinal Chemistry Letters, SLAS DISCOVERY, Bioorganic & Medicinal Chemistry Letters, Methods in enzymology on CD-ROM/Methods in enzymology and Cell chemical biology.
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.