John Eksterowicz

1.8k citations
26 papers · 955 · h-index 16

Impact in

Papers in

    • Chemical Synthesis and Analysis 5
    • Protein Structure and Dynamics 3
    • Click Chemistry and Applications 2
    • Organic Chemistry Cycloaddition Reactions 2

John Eksterowicz

26 papers receiving 909 citations

Peers

John Eksterowicz
Comparison fields: 5 of 96
  • Computational Theory and Mathematics 218
  • Organic Chemistry 298
  • Oncology 210
  • Physical and Theoretical Chemistry 61
  • Drug Discovery 1
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António J. M. Ribeiro Portugal
Eugene L. Stewart United States
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Jordi Teixidó Spain
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Citations per field
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Citations per year

Countries citing papers authored by John Eksterowicz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John Eksterowicz Line = papers co-authored together John Eksterowicz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993140
2 2015122
3 200486
4 201580
5 199380
6 201357
7 200748
8 199542
9 199739
10 201038
11 200333
12 200225
13 200224
14 201824
15 200919
16 201416
17 200615
18 200813
19 200312
20 199011

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 955 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Chemical Synthesis and Analysis (5 papers), Drug Transport and Resistance Mechanisms (3 papers), Protein Structure and Dynamics (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Estrogen and related hormone effects (3 papers), Click Chemistry and Applications (2 papers) and Organic Chemistry Cycloaddition Reactions (2 papers). The work is most often cited by research in Computational Theory and Mathematics (218 citations), Organic Chemistry (298 citations), Oncology (210 citations), Physical and Theoretical Chemistry (61 citations) and Drug Discovery (1 citation). John Eksterowicz has collaborated with scholars based in United States, Finland and Switzerland. Frequent co-authors include K. N. Houk, Santosh Putta, Peter D. J. Grootenhuis, Erin K. Bradley, Yun Wu, Robert V. Stanton, Erik Evensen, Peter A. Kollman, Jennifer L. Miller and J. Kevin Lanctot. 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 Drug Metabolism and Disposition.

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.

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