Ernest Kun

3.9k citations
128 papers · 3.1k · h-index 32

Impact in

Papers in

    • DNA Repair Mechanisms 18
    • Biochemical and Molecular Research 14
    • Mitochondrial Function and Pathology 13
    • PARP inhibition in cancer therapy 39

Ernest Kun

127 papers receiving 2.9k citations

Peers

Ernest Kun
Comparison fields: 5 of 118
  • Biochemistry 371
  • Clinical Biochemistry 301
  • Oncology 1.0k
  • Physiology 187
  • Virology 128
Replace Lawrence M. Ballas with:
Lawrence M. Ballas United States
Donald L. Hill United States
É. Kun United States
Martin Reers United States
Malliga E. Ganapathy United States
Francis T. Kenney United States
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W.E. Pricer United States
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Citations per field
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Citations per year

Countries citing papers authored by Ernest Kun

Since Specialization
Citations

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

Fields of papers citing papers by Ernest Kun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998238
2 1993176
3 1974143
4 197993
5 197391
6 195486
7 200380
8 197274
9 195762
10 199561
11 199561
12 200260
13 200159
14 195956
15 197948
16 199048
17 196946
18 197646
19 198943
20 200143

About Ernest Kun

Ernest Kun is a scholar working on Molecular Biology, Oncology, Clinical Biochemistry, Biochemistry and Immunology, having authored 128 papers that have together received 3.1k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (39 papers), Metabolism and Genetic Disorders (19 papers), DNA Repair Mechanisms (18 papers), Biochemical and Molecular Research (14 papers), Mitochondrial Function and Pathology (13 papers), Amino Acid Enzymes and Metabolism (10 papers), Toxin Mechanisms and Immunotoxins (8 papers) and Calcium signaling and nucleotide metabolism (7 papers). The work is most often cited by research in Biochemistry (371 citations), Clinical Biochemistry (301 citations), Oncology (1.0k citations), Physiology (187 citations) and Virology (128 citations). Ernest Kun has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include E. Kirsten, Kálman G. Büki, Michael N. Berry, Pál I. Bauer, Edna B. Kearney, Alaeddin Hakam, Jerome Mendeleyev, Charles P. Ordahl, D.W. Fanshier and Walter N. Piper. Their work appears in journals such as Biochemical and Biophysical Research Communications, FEBS Letters, Biochemistry, Methods in enzymology on CD-ROM/Methods in enzymology and Molecular Pharmacology.

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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