Ádám Kun
Impact in
- Astronomy and Astrophysics top 5%
- Origins and Evolution of Life
-
- Ecology and Vegetation Dynamics Studies
Papers in
- Genetics 19
- Evolution and Genetic Dynamics 16
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- RNA and protein synthesis mechanisms 13
- Genomics and Phylogenetic Studies 5
- Co-authors
- Eörs Szathmáry (13 shared papers)Beáta Oborny (8 shared papers)István Scheuring (6 shared papers)Tamás Czárán (4 shared papers)András Szilágyi (9 shared papers)Mauro Santos (2 shared papers)Ulf Dieckmann (4 shared papers)Gergely Boza (5 shared papers)
- Journals
- Biosystems (4 papers)Life (3 papers)Community Ecology (3 papers)Journal of Theoretical Biology (2 papers)Scientific Reports (2 papers)
- Partner nations
- HungaryAustriaUnited States
In The Last Decade
Ádám Kun
48 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Astronomy and Astrophysics 377
- Nature and Landscape Conservation 275
- Genetics 383
- Ecology, Evolution, Behavior and Systematics 232
- Ecological Modeling 31
Countries citing papers authored by Ádám Kun
This map shows the geographic impact of Ádám 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 Ádám Kun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ádám Kun more than expected).
Fields of papers citing papers by Ádám Kun
This network shows the impact of papers produced by Ádám 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 Ádám Kun. The network helps show where Ádám Kun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ádám 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 131 | |
| 2 | 2016 | 106 | |
| 3 | 2005 | 106 | |
| 4 | 2000 | 95 | |
| 5 | 2007 | 81 | |
| 6 | 2006 | 69 | |
| 7 | 2008 | 55 | |
| 8 | 2015 | 49 | |
| 9 | 2013 | 48 | |
| 10 | 2001 | 45 | |
| 11 | 2001 | 40 | |
| 12 | 2017 | 38 | |
| 13 | 2006 | 36 | |
| 14 | 2007 | 35 | |
| 15 | 2003 | 35 | |
| 16 | 2018 | 30 | |
| 17 | 2017 | 29 | |
| 18 | 2008 | 28 | |
| 19 | 2008 | 27 | |
| 20 | 2011 | 24 |
About Ádám Kun
Ádám Kun is a scholar working on Genetics, Molecular Biology, Nature and Landscape Conservation, Astronomy and Astrophysics and Ecology, Evolution, Behavior and Systematics, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (16 papers), RNA and protein synthesis mechanisms (13 papers), Ecology and Vegetation Dynamics Studies (13 papers), Origins and Evolution of Life (12 papers), Plant and animal studies (8 papers), Evolutionary Game Theory and Cooperation (7 papers), Genomics and Phylogenetic Studies (5 papers) and Botany and Plant Ecology Studies (4 papers). The work is most often cited by research in Astronomy and Astrophysics (377 citations), Nature and Landscape Conservation (275 citations), Genetics (383 citations), Ecology, Evolution, Behavior and Systematics (232 citations) and Ecological Modeling (31 citations). Ádám Kun has collaborated with scholars based in Hungary, Austria and United States. Frequent co-authors include Eörs Szathmáry, Beáta Oborny, István Scheuring, Tamás Czárán, András Szilágyi, Mauro Santos, Ulf Dieckmann, Gergely Boza, Josef F. Stuefer and Balázs Papp. Their work appears in journals such as Biosystems, Life, Community Ecology, Journal of Theoretical Biology and Scientific Reports.
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.