Tamás Nagy
Impact in
- Nephrology top 10%
-
- Ion Transport and Channel Regulation
- Glycosylation and Glycoproteins Research
- Ion channel regulation and function
Papers in
-
- Glycosylation and Glycoproteins Research 12
- Ion Transport and Channel Regulation 3
- Ubiquitin and proteasome pathways 2
-
- Carbohydrate Chemistry and Synthesis 7
- Co-authors
- Daniel Biemesderfer (3 shared papers)Attila Miseta (23 shared papers)Brenda DeGray (2 shared papers)Peter S. Aronson (2 shared papers)PA Rutherford (1 shared paper)John Pizzonia (1 shared paper)Ali K. Abu‐Alfa (1 shared paper)Voraratt Champattanachai (1 shared paper)
- Journals
- Cell Biology International (2 papers)Journal of Cellular and Molecular Medicine (2 papers)Journal of Biological Chemistry (2 papers)Molecules (2 papers)Scientific Reports (2 papers)
- Partner nations
- HungaryUnited StatesPoland
In The Last Decade
Tamás Nagy
37 papers receiving 934 citations
Peers
Comparison fields: 5 of 126
- Nephrology 69
- Molecular Biology 540
- Endocrinology, Diabetes and Metabolism 91
- Cell Biology 66
- Physiology 97
Countries citing papers authored by Tamás Nagy
This map shows the geographic impact of Tamás Nagy'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 Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Nagy more than expected).
Fields of papers citing papers by Tamás Nagy
This network shows the impact of papers produced by Tamás Nagy. 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 Nagy. The network helps show where Tamás Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamás Nagy, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 197 | |
| 2 | 2001 | 104 | |
| 3 | 1999 | 101 | |
| 4 | 2005 | 86 | |
| 5 | 2019 | 63 | |
| 6 | 2020 | 59 | |
| 7 | 2019 | 46 | |
| 8 | 2015 | 39 | |
| 9 | 2020 | 31 | |
| 10 | 2016 | 29 | |
| 11 | 2022 | 28 | |
| 12 | 2017 | 21 | |
| 13 | 2020 | 19 | |
| 14 | 2005 | 15 | |
| 15 | 2015 | 13 | |
| 16 | 2016 | 11 | |
| 17 | 2009 | 9 | |
| 18 | 2013 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2024 | 7 |
About Tamás Nagy
Tamás Nagy is a scholar working on Molecular Biology, Organic Chemistry, Surgery, Cell Biology and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 953 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), Carbohydrate Chemistry and Synthesis (7 papers), Galectins and Cancer Biology (3 papers), Ion Transport and Channel Regulation (3 papers), Ubiquitin and proteasome pathways (2 papers), Biochemical effects in animals (2 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Nephrology (69 citations), Molecular Biology (540 citations), Endocrinology, Diabetes and Metabolism (91 citations), Cell Biology (66 citations) and Physiology (97 citations). Tamás Nagy has collaborated with scholars based in Hungary, United States and Poland. Frequent co-authors include Daniel Biemesderfer, Attila Miseta, Brenda DeGray, Peter S. Aronson, PA Rutherford, John Pizzonia, Ali K. Abu‐Alfa, Voraratt Champattanachai, Richard B. Marchase and John C. Chatham. Their work appears in journals such as Cell Biology International, Journal of Cellular and Molecular Medicine, Journal of Biological Chemistry, Molecules 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.