Eszter Ari
Impact in
- Aging top 10%
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- Bioinformatics and Genomic Networks 4
- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 2
- Gut microbiota and health 2
- Genetics 4
- Co-authors
- Tamás Korcsmáros (6 shared papers)Balázs Papp (6 shared papers)Dávid Fazekas (3 shared papers)Tibor Vellai (5 shared papers)Balázs Bohár (2 shared papers)Csaba Pál (4 shared papers)Bálint Kintses (6 shared papers)István Nagy (4 shared papers)
- Journals
- Nature Communications (2 papers)Scientific Reports (2 papers)Molecular Phylogenetics and Evolution (2 papers)Database (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
Eszter Ari
23 papers receiving 513 citations
Peers
Comparison fields: 5 of 98
- Aging 27
- Microbiology 57
- Molecular Medicine 46
- Molecular Biology 285
- Endocrinology 21
Countries citing papers authored by Eszter Ari
This map shows the geographic impact of Eszter Ari'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 Eszter Ari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eszter Ari more than expected).
Fields of papers citing papers by Eszter Ari
This network shows the impact of papers produced by Eszter Ari. 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 Eszter Ari. The network helps show where Eszter Ari may publish in the future.
Co-authors
The 25 scholars most cited alongside Eszter Ari, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | 2022 | 78 | |
| 3 | 2018 | 66 | |
| 4 | 2016 | 46 | |
| 5 | 2019 | 35 | |
| 6 | 2019 | 33 | |
| 7 | 2010 | 22 | |
| 8 | 2017 | 21 | |
| 9 | 2020 | 21 | |
| 10 | 2023 | 20 | |
| 11 | 2016 | 20 | |
| 12 | 2014 | 14 | |
| 13 | 2009 | 14 | |
| 14 | 2017 | 14 | |
| 15 | 2023 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2018 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2012 | 2 |
About Eszter Ari
Eszter Ari is a scholar working on Molecular Biology, Genetics, Paleontology, Epidemiology and Ecology, Evolution, Behavior and Systematics, having authored 24 papers that have together received 521 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Genomics and Phylogenetic Studies (3 papers), Autophagy in Disease and Therapy (3 papers), Gene expression and cancer classification (2 papers), Vibrio bacteria research studies (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Antimicrobial Peptides and Activities (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Aging (27 citations), Microbiology (57 citations), Molecular Medicine (46 citations), Molecular Biology (285 citations) and Endocrinology (21 citations). Eszter Ari has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Tamás Korcsmáros, Balázs Papp, Dávid Fazekas, Tibor Vellai, Balázs Bohár, Csaba Pál, Bálint Kintses, István Nagy, Mónika Számel and Bálint Márk Vásárhelyi. Their work appears in journals such as Nature Communications, Scientific Reports, Molecular Phylogenetics and Evolution, Database and Briefings in Bioinformatics.
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.