John Eksterowicz
Impact in
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- Computational Drug Discovery Methods
- Organic Chemistry top 10%
- Organic Chemistry Cycloaddition Reactions
- Synthesis and biological activity
Papers in
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- Chemical Synthesis and Analysis 5
- Protein Structure and Dynamics 3
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- Organic Chemistry Cycloaddition Reactions 2
- Co-authors
- K. N. Houk (4 shared papers)Santosh Putta (3 shared papers)Peter D. J. Grootenhuis (5 shared papers)Erin K. Bradley (5 shared papers)Yun Wu (1 shared paper)Robert V. Stanton (4 shared papers)Peter A. Kollman (1 shared paper)Jennifer L. Miller (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (6 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Journal of the American Chemical Society (2 papers)Journal of Molecular Graphics and Modelling (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesSwitzerlandFinland
In The Last Decade
John Eksterowicz
26 papers receiving 851 citations
Peers
Comparison fields: 5 of 96
- Computational Theory and Mathematics 198
- Organic Chemistry 272
- Oncology 208
- Physical and Theoretical Chemistry 56
- Drug Discovery 1
Countries citing papers authored by John Eksterowicz
This map shows the geographic impact of John 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 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 Eksterowicz more than expected).
Fields of papers citing papers by John Eksterowicz
This network shows the impact of papers produced by John 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 Eksterowicz. The network helps show where John Eksterowicz may publish in the future.
Co-authors
The 25 scholars most cited alongside John 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 126 | |
| 2 | 2015 | 116 | |
| 3 | 2015 | 78 | |
| 4 | 1993 | 76 | |
| 5 | 2004 | 73 | |
| 6 | 2013 | 53 | |
| 7 | 2007 | 44 | |
| 8 | 1995 | 39 | |
| 9 | 1997 | 38 | |
| 10 | 2010 | 37 | |
| 11 | 2003 | 31 | |
| 12 | 2002 | 23 | |
| 13 | 2002 | 22 | |
| 14 | 2018 | 21 | |
| 15 | 2014 | 16 | |
| 16 | 2009 | 16 | |
| 17 | 2006 | 15 | |
| 18 | 2003 | 12 | |
| 19 | 2008 | 11 | |
| 20 | 1990 | 11 |
About John Eksterowicz
John Eksterowicz is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Oncology and Pharmacology, having authored 26 papers that have together received 886 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Chemical Synthesis and Analysis (5 papers), Pharmacogenetics and Drug Metabolism (3 papers), Protein Structure and Dynamics (3 papers), Estrogen and related hormone effects (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Organic Chemistry Cycloaddition Reactions (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Computational Theory and Mathematics (198 citations), Organic Chemistry (272 citations), Oncology (208 citations), Physical and Theoretical Chemistry (56 citations) and Drug Discovery (1 citation). John Eksterowicz has collaborated with scholars based in United States, Switzerland and Finland. Frequent co-authors include K. N. Houk, Santosh Putta, Peter D. J. Grootenhuis, Erin K. Bradley, Yun Wu, Robert V. Stanton, Peter A. Kollman, Jennifer L. Miller, Christian Lemmen and Connie Oshiro. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of the American Chemical Society, Journal of Molecular Graphics and Modelling and Molecular Cancer Therapeutics.
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.