Tamás Dinya
Impact in
- Gastroenterology top 5%
- Celiac Disease Research and Management
- Hepatology top 10%
- Liver Disease and Transplantation
Papers in
- Epidemiology 15
- Liver Disease Diagnosis and Treatment 7
- Microscopic Colitis 3
- Sepsis Diagnosis and Treatment 3
- Hepatology 10
- Liver Disease and Transplantation 10
- Hepatitis Viruses Studies and Epidemiology 4
- Co-authors
- Mária Papp (19 shared papers)M. Udvardy (12 shared papers)Péter L. Lakatos (12 shared papers)I Altorjay (10 shared papers)Zsuzsanna Vitális (13 shared papers)Ildikó Földi (9 shared papers)Károly Palatka (8 shared papers)István Tornai (13 shared papers)
- Journals
- Liver International (4 papers)Journal of Hepatology (2 papers)Human Immunology (2 papers)World Journal of Gastroenterology (2 papers)Gastroenterology (2 papers)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Tamás Dinya
23 papers receiving 532 citations
Peers
Comparison fields: 5 of 70
- Gastroenterology 78
- Hepatology 107
- Applied Microbiology and Biotechnology 24
- Epidemiology 255
- Genetics 193
Countries citing papers authored by Tamás Dinya
This map shows the geographic impact of Tamás Dinya'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 Dinya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Dinya more than expected).
Fields of papers citing papers by Tamás Dinya
This network shows the impact of papers produced by Tamás Dinya. 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 Dinya. The network helps show where Tamás Dinya may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamás Dinya, 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 | 2008 | 117 | |
| 2 | 2015 | 67 | |
| 3 | 2011 | 53 | |
| 4 | 2008 | 51 | |
| 5 | 2010 | 45 | |
| 6 | 2008 | 26 | |
| 7 | 2016 | 23 | |
| 8 | 2007 | 23 | |
| 9 | 2010 | 22 | |
| 10 | 2016 | 21 | |
| 11 | 2017 | 19 | |
| 12 | 2009 | 17 | |
| 13 | 2009 | 16 | |
| 14 | 2010 | 12 | |
| 15 | 2011 | 9 | |
| 16 | 2017 | 7 | |
| 17 | [Haptoglobin polymorphism in patients with inflammatory bowel diseases]. | 2006 | 5 |
| 18 | 2023 | 3 | |
| 19 | 2010 | 2 | |
| 20 | 2025 | 1 |
About Tamás Dinya
Tamás Dinya is a scholar working on Epidemiology, Hepatology, Surgery, Immunology and Gastroenterology, having authored 24 papers that have together received 542 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (10 papers), Liver Disease Diagnosis and Treatment (7 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), Microscopic Colitis (3 papers), Inflammatory Bowel Disease (3 papers), Celiac Disease Research and Management (3 papers), Sepsis Diagnosis and Treatment (3 papers) and Pancreatitis Pathology and Treatment (2 papers). The work is most often cited by research in Gastroenterology (78 citations), Hepatology (107 citations), Applied Microbiology and Biotechnology (24 citations), Epidemiology (255 citations) and Genetics (193 citations). Tamás Dinya has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Mária Papp, M. Udvardy, Péter L. Lakatos, I Altorjay, Zsuzsanna Vitális, Ildikó Földi, Károly Palatka, István Tornai, Judit Tumpek and Tamás Molnár. Their work appears in journals such as Liver International, Journal of Hepatology, Human Immunology, World Journal of Gastroenterology and Gastroenterology.
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.