Tamás Letoha
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- RNA Interference and Gene Delivery 8
- Glycosylation and Glycoproteins Research 3
-
- Proteoglycans and glycosaminoglycans research 4
- Co-authors
- László Szilák (12 shared papers)Erzsébet Kúsz (8 shared papers)Csaba Vízler (9 shared papers)Zoltán Oláh (6 shared papers)Botond Penke (4 shared papers)Katalin Jósvay (6 shared papers)Csaba Somlai (3 shared papers)Szilvia Gaál (2 shared papers)
- Journals
- International Journal of Molecular Sciences (12 papers)World Journal of Gastroenterology (3 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)Biological Trace Element Research (1 paper)
- Partner nations
- HungaryGermanyUnited Kingdom
In The Last Decade
Tamás Letoha
29 papers receiving 788 citations
Peers
Comparison fields: 5 of 95
- Sensory Systems 82
- Microbiology 64
- Cell Biology 117
- Molecular Biology 400
- Physiology 112
Countries citing papers authored by Tamás Letoha
This map shows the geographic impact of Tamás Letoha'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 Tamás Letoha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Letoha more than expected).
Fields of papers citing papers by Tamás Letoha
This network shows the impact of papers produced by Tamás Letoha. 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 Tamás Letoha. The network helps show where Tamás Letoha may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamás Letoha, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 100 | |
| 2 | 2003 | 78 | |
| 3 | 2019 | 54 | |
| 4 | 2008 | 51 | |
| 5 | 2005 | 49 | |
| 6 | 2006 | 46 | |
| 7 | 2006 | 43 | |
| 8 | 2021 | 41 | |
| 9 | 2009 | 39 | |
| 10 | 2019 | 39 | |
| 11 | 2005 | 35 | |
| 12 | 2005 | 32 | |
| 13 | 2007 | 27 | |
| 14 | 2006 | 24 | |
| 15 | 2022 | 21 | |
| 16 | 2013 | 21 | |
| 17 | 2003 | 17 | |
| 18 | 2017 | 16 | |
| 19 | 2023 | 13 | |
| 20 | 2022 | 12 |
About Tamás Letoha
Tamás Letoha is a scholar working on Molecular Biology, Cell Biology, Surgery, Physiology and Immunology, having authored 34 papers that have together received 806 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Alzheimer's disease research and treatments (5 papers), Pancreatitis Pathology and Treatment (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Glycosylation and Glycoproteins Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Ion Channels and Receptors (3 papers). The work is most often cited by research in Sensory Systems (82 citations), Microbiology (64 citations), Cell Biology (117 citations), Molecular Biology (400 citations) and Physiology (112 citations). Tamás Letoha has collaborated with scholars based in Hungary, Germany and United Kingdom. Frequent co-authors include László Szilák, Erzsébet Kúsz, Csaba Vízler, Zoltán Oláh, Botond Penke, Katalin Jósvay, Csaba Somlai, Szilvia Gaál, András Czajlik and Anikó Keller-Pintér. Their work appears in journals such as International Journal of Molecular Sciences, World Journal of Gastroenterology, PLoS ONE, Scientific Reports and Biological Trace Element Research.
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.