É. Kun

1.9k citations
61 papers · 1.6k · h-index 24

Impact in

Papers in

    • Biochemical Acid Research Studies 5
    • Biochemical and Molecular Research 19
    • Mitochondrial Function and Pathology 12
    • Enzyme function and inhibition 5
    • DNA Repair Mechanisms 4

É. Kun

58 papers receiving 1.4k citations

Peers

É. Kun
Comparison fields: 5 of 89
  • Biochemistry 222
  • Geriatrics and Gerontology 59
  • Physiology 65
  • Oncology 364
  • Molecular Biology 1k
Replace Atsushi Oikawa with:
Atsushi Oikawa Japan
Robert B. Hurlbert United States
Hiroshi Kaneko Japan
Giovanna Cacciapuoti Italy
Shoji Ohkuma Japan
Silvia Garavaglia Italy
MARCO RABINOVITZ United States
Terence J. Scallen United States
Hans Klenow Denmark
Motoji Fujioka Japan
É. Kun relative to Atsushi Oikawa Japan Atsushi Oikawa's profile →
Citations per field
00.5×2×4×5.9×
Atsushi Oikawa · 1×
Citations per year

Countries citing papers authored by É. Kun

Since Specialization
Citations

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

Fields of papers citing papers by É. Kun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1957133
2
Studies on the Ehrlich ascites tumor. I. The enzymic and metabolic activities of the ascitic cells and the ascitic plasma.
1951104
3 197578
4 199075
5 196474
6 197671
7 198364
8 197055
9 198350
10 197949
11 198348
12 199748
13 198745
14 198142
15 196940
16 196039
17 196533
18 196429
19 196228
20 197128

About É. Kun

É. Kun is a scholar working on Biochemistry, Molecular Biology, Oncology, Geriatrics and Gerontology and Cancer Research, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (19 papers), Mitochondrial Function and Pathology (12 papers), PARP inhibition in cancer therapy (11 papers), Enzyme Structure and Function (7 papers), Enzyme function and inhibition (5 papers), Biochemical Acid Research Studies (5 papers), Microtubule and mitosis dynamics (4 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Biochemistry (222 citations), Geriatrics and Gerontology (59 citations), Physiology (65 citations), Oncology (364 citations) and Molecular Biology (1k citations). É. Kun has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include Dean W. Fanshier, D. D. Davies, Takeyoshi Minaga, E. Kirsten, George Jackowski, H. Guy Williams-Ashman, Paul Talalay, Kálman G. Büki, Annie C. Y. Chang and Alaeddin Hakam. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Oncology, Experimental Biology and Medicine, International Journal of Molecular Medicine and Proceedings of the National Academy of Sciences.

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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