Gergely Temesi
Impact in
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis
Papers in
-
- Genomics and Phylogenetic Studies 1
- Biomedical Text Mining and Ontologies 1
-
- Digital Mental Health Interventions 2
- Co-authors
- David Příhoda (1 shared paper)Jindřich Soukup (1 shared paper)Grazia Piizzi (1 shared paper)Christopher H. Woelk (1 shared paper)Daria J. Hazuda (1 shared paper)Geoffrey D. Hannigan (1 shared paper)Ondřej Klempíř (1 shared paper)Rurun Wang (1 shared paper)
- Journals
- Journal of Medical Internet Research (1 paper)Allergy Asthma and Immunology Research (1 paper)Nucleic Acids Research (1 paper)Future Medicinal Chemistry (1 paper)JMIR Mental Health (1 paper)
- Partner nations
- United KingdomUnited StatesHungary
In The Last Decade
Gergely Temesi
9 papers receiving 300 citations
Peers
Comparison fields: 5 of 75
- Pharmacology 119
- Biotechnology 30
- Computational Theory and Mathematics 45
- Applied Psychology 12
- Molecular Biology 175
Countries citing papers authored by Gergely Temesi
This map shows the geographic impact of Gergely Temesi'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 Gergely Temesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gergely Temesi more than expected).
Fields of papers citing papers by Gergely Temesi
This network shows the impact of papers produced by Gergely Temesi. 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 Gergely Temesi. The network helps show where Gergely Temesi may publish in the future.
Co-authors
The 25 scholars most cited alongside Gergely Temesi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 219 | |
| 2 | 2013 | 25 | |
| 3 | 2021 | 20 | |
| 4 | 2014 | 15 | |
| 5 | 2022 | 11 | |
| 6 | 2014 | 8 | |
| 7 | 2024 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2020 | 1 |
About Gergely Temesi
Gergely Temesi is a scholar working on Molecular Biology, Applied Psychology, Organic Chemistry, Pharmacology and Pathology and Forensic Medicine, having authored 9 papers that have together received 304 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (2 papers), Cyclopropane Reaction Mechanisms (1 paper), Genomics and Phylogenetic Studies (1 paper), Biomedical Text Mining and Ontologies (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Multiple Sclerosis Research Studies (1 paper), Computational Drug Discovery Methods (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Pharmacology (119 citations), Biotechnology (30 citations), Computational Theory and Mathematics (45 citations), Applied Psychology (12 citations) and Molecular Biology (175 citations). Gergely Temesi has collaborated with scholars based in United Kingdom, United States and Hungary. Frequent co-authors include David Příhoda, Jindřich Soukup, Grazia Piizzi, Christopher H. Woelk, Daria J. Hazuda, Geoffrey D. Hannigan, Ondřej Klempíř, Rurun Wang, Dan Chang and Danny A. Bitton. Their work appears in journals such as Journal of Medical Internet Research, Allergy Asthma and Immunology Research, Nucleic Acids Research, Future Medicinal Chemistry and JMIR Mental Health.
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.