Peter Kovar

6.5k citations
41 papers · 1.0k · h-index 20

Impact in

    • Synthesis and biological activity
    • Click Chemistry and Applications
  • Oncology top 10%
    • Cancer-related Molecular Pathways

Papers in

    • DNA Repair Mechanisms 11
    • Cancer therapeutics and mechanisms 9
    • PI3K/AKT/mTOR signaling in cancer 4
    • Retinoids in leukemia and cellular processes 3
    • Cancer-related Molecular Pathways 14

Peter Kovar

40 papers receiving 1.0k citations

Peers

Peter Kovar
Comparison fields: 5 of 83
  • Organic Chemistry 387
  • Oncology 242
  • Molecular Biology 613
  • Computational Theory and Mathematics 146
  • Toxicology 23
Replace Daniel D. Holsworth with:
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Peter Kovar relative to Daniel D. Holsworth United States Daniel D. Holsworth's profile →
Citations per field
00.5×
Daniel D. Holsworth · 1×
Citations per year

Countries citing papers authored by Peter Kovar

Since Specialization
Citations

This map shows the geographic impact of Peter Kovar'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 Peter Kovar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kovar more than expected).

Fields of papers citing papers by Peter Kovar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Kovar. 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 Peter Kovar. The network helps show where Peter Kovar may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Kovar, 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 Peter Kovar Line = papers co-authored together Peter Kovar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006107
2 199295
3 200772
4 200059
5 201050
6 200149
7 199340
8 200538
9 201638
10 200537
11 200536
12 201136
13 200733
14 200629
15 199929
16 200725
17 200625
18 201022
19 200722
20 200119

About Peter Kovar

Peter Kovar is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (14 papers), DNA Repair Mechanisms (11 papers), Cancer therapeutics and mechanisms (9 papers), Renin-Angiotensin System Studies (6 papers), Click Chemistry and Applications (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Microtubule and mitosis dynamics (3 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Organic Chemistry (387 citations), Oncology (242 citations), Molecular Biology (613 citations), Computational Theory and Mathematics (146 citations) and Toxicology (23 citations). Peter Kovar has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Saul H. Rosenberg, Zehan Chen, Hing L. Sham, Nan‐Horng Lin, Thomas J. Sowin, Haiying Zhang, Zhi‐Fu Tao, Stephen K. Tahir, Eric F. Johnson and Gaoquan Li. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, SLAS DISCOVERY, Journal of Cardiovascular Pharmacology and ACS Medicinal Chemistry Letters.

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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