John E. Eksterowicz
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Organic Chemistry top 5%
- Click Chemistry and Applications
- Synthesis and biological activity
Papers in
- Oncology 15
- Cancer-related Molecular Pathways 8
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- Click Chemistry and Applications 5
- Co-authors
- Kendall Houk (4 shared papers)Santosh Putta (3 shared papers)Peter D. J. Grootenhuis (5 shared papers)Erin K. Bradley (5 shared papers)Robert V. Stanton (4 shared papers)Yun Dong. Wu (1 shared paper)Erik Evensen (3 shared papers)Jennifer L. Miller (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (13 papers)Bioorganic & Medicinal Chemistry Letters (5 papers)Molecular Cancer Therapeutics (2 papers)Journal of the American Chemical Society (2 papers)Journal of Molecular Graphics and Modelling (2 papers)
- Partner nations
- United StatesFinlandChina
In The Last Decade
John E. Eksterowicz
34 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Oncology 504
- Organic Chemistry 463
- Computational Theory and Mathematics 259
- Molecular Biology 747
- Physiology 38
Countries citing papers authored by John E. Eksterowicz
This map shows the geographic impact of John E. Eksterowicz'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 E. Eksterowicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Eksterowicz more than expected).
Fields of papers citing papers by John E. Eksterowicz
This network shows the impact of papers produced by John E. Eksterowicz. 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 E. Eksterowicz. The network helps show where John E. Eksterowicz may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. Eksterowicz, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 246 | |
| 2 | 1993 | 139 | |
| 3 | 2015 | 131 | |
| 4 | 2015 | 90 | |
| 5 | 2004 | 88 | |
| 6 | 1993 | 80 | |
| 7 | 2014 | 77 | |
| 8 | 2014 | 66 | |
| 9 | 2013 | 64 | |
| 10 | 2014 | 48 | |
| 11 | 2007 | 47 | |
| 12 | 2010 | 45 | |
| 13 | 2020 | 39 | |
| 14 | 1997 | 38 | |
| 15 | 1995 | 38 | |
| 16 | 2014 | 37 | |
| 17 | 2014 | 35 | |
| 18 | 2003 | 32 | |
| 19 | 2018 | 27 | |
| 20 | 2002 | 26 |
About John E. Eksterowicz
John E. Eksterowicz is a scholar working on Oncology, Organic Chemistry, Computational Theory and Mathematics, Molecular Biology and Cell Biology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Cancer-related Molecular Pathways (8 papers), Click Chemistry and Applications (5 papers), Microtubule and mitosis dynamics (5 papers), Chemical Synthesis and Analysis (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Ubiquitin and proteasome pathways (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Oncology (504 citations), Organic Chemistry (463 citations), Computational Theory and Mathematics (259 citations), Molecular Biology (747 citations) and Physiology (38 citations). John E. Eksterowicz has collaborated with scholars based in United States, Finland and China. Frequent co-authors include Kendall Houk, Santosh Putta, Peter D. J. Grootenhuis, Erin K. Bradley, Robert V. Stanton, Yun Dong. Wu, Erik Evensen, Jennifer L. Miller, Peter A. Kollman and J. Kevin Lanctot. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Molecular Cancer Therapeutics, Journal of the American Chemical Society and Journal of Molecular Graphics and Modelling.
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.