É. Kun
Impact in
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Enzyme function and inhibition 11
- Mitochondrial Function and Pathology 8
- ATP Synthase and ATPases Research 5
- Biochemical and Molecular Research 5
- DNA Repair Mechanisms 4
- Oncology 18
- PARP inhibition in cancer therapy 14
- Co-authors
- D.W. Fanshier (7 shared papers)D. D. Davies (1 shared paper)Takeyoshi Minaga (4 shared papers)E. Kirsten (8 shared papers)George Jackowski (5 shared papers)H.G. Williams-Ashman (3 shared papers)Paul Talalay (1 shared paper)Kálman G. Büki (6 shared papers)
- Journals
- Journal of Biological Chemistry (18 papers)International Journal of Oncology (5 papers)International Journal of Molecular Medicine (5 papers)Experimental Biology and Medicine (5 papers)Biochemical and Biophysical Research Communications (4 papers)
- Partner nations
- United StatesHungaryJapan
In The Last Decade
É. Kun
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Physiology 135
- Biochemistry 173
- Oncology 551
- Clinical Biochemistry 123
- Molecular Biology 971
Countries citing papers authored by É. Kun
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
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.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1957 | 135 | |
| 2 | Studies on the Ehrlich ascites tumor. I. The enzymic and metabolic activities of the ascitic cells and the ascitic plasma. | 1951 | 105 |
| 3 | 1975 | 78 | |
| 4 | 1990 | 76 | |
| 5 | 1964 | 75 | |
| 6 | 1976 | 72 | |
| 7 | 1983 | 63 | |
| 8 | 1970 | 58 | |
| 9 | 1983 | 50 | |
| 10 | 1987 | 49 | |
| 11 | 1983 | 49 | |
| 12 | 1979 | 49 | |
| 13 | 1997 | 48 | |
| 14 | 1969 | 42 | |
| 15 | 1981 | 42 | |
| 16 | 1960 | 40 | |
| 17 | 1965 | 32 | |
| 18 | 1971 | 29 | |
| 19 | 1962 | 29 | |
| 20 | 1964 | 28 |
About É. Kun
É. Kun is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Cell Biology and Cancer Research, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (14 papers), Enzyme function and inhibition (11 papers), Mitochondrial Function and Pathology (8 papers), ATP Synthase and ATPases Research (5 papers), Biochemical and Molecular Research (5 papers), Hemoglobin structure and function (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Physiology (135 citations), Biochemistry (173 citations), Oncology (551 citations), Clinical Biochemistry (123 citations) and Molecular Biology (971 citations). É. Kun has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include D.W. Fanshier, D. D. Davies, Takeyoshi Minaga, E. Kirsten, George Jackowski, H.G. Williams-Ashman, Paul Talalay, Kálman G. Büki, Paul Bauer and Annie Chang. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Oncology, International Journal of Molecular Medicine, Experimental Biology and Medicine and Biochemical and Biophysical Research Communications.
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.