I. Nagy
Impact in
- Sensory Systems top 0.2%
- Ion Channels and Receptors
- Physiology top 1%
- Pain Mechanisms and Treatments
Papers in
- Physiology 53
- Pain Mechanisms and Treatments 44
-
- Neuropeptides and Animal Physiology 20
- Neuroscience and Neuropharmacology Research 18
- Co-authors
- László Urbán (24 shared papers)H P Rang (4 shared papers)John A. Pojman (11 shared papers)Péter Sántha (16 shared papers)John P. White (15 shared papers)Francisco Cruz (10 shared papers)Clifford J. Woolf (5 shared papers)Mario Cibelli (8 shared papers)
- Journals
- Neuroscience (11 papers)The Journal of Physical Chemistry (9 papers)British Journal of Pharmacology (6 papers)European Journal of Neuroscience (5 papers)Scientific Reports (4 papers)
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
I. Nagy
200 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 161
- Sensory Systems 1.3k
- Physiology 1.4k
- Cellular and Molecular Neuroscience 985
- Pharmacology 782
- Urology 273
Countries citing papers authored by I. Nagy
This map shows the geographic impact of I. 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 I. Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Nagy more than expected).
Fields of papers citing papers by I. Nagy
This network shows the impact of papers produced by I. 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 I. Nagy. The network helps show where I. Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside I. 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 208 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 313 | |
| 2 | 2004 | 237 | |
| 3 | 2002 | 202 | |
| 4 | 2004 | 174 | |
| 5 | 2002 | 172 | |
| 6 | 2003 | 160 | |
| 7 | 2007 | 131 | |
| 8 | 2006 | 127 | |
| 9 | 1999 | 120 | |
| 10 | 2011 | 117 | |
| 11 | 1999 | 117 | |
| 12 | 1996 | 108 | |
| 13 | 1993 | 94 | |
| 14 | 1995 | 84 | |
| 15 | 2005 | 82 | |
| 16 | 1968 | 78 | |
| 17 | 2013 | 74 | |
| 18 | 1991 | 71 | |
| 19 | 1993 | 68 | |
| 20 | 2002 | 65 |
About I. Nagy
I. Nagy is a scholar working on Physiology, Cellular and Molecular Neuroscience, Sensory Systems, Molecular Biology and Pharmacology, having authored 208 papers that have together received 4.9k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (44 papers), Ion Channels and Receptors (35 papers), Neuropeptides and Animal Physiology (20 papers), Neuroscience and Neuropharmacology Research (18 papers), Cannabis and Cannabinoid Research (18 papers), Ion channel regulation and function (16 papers), Metallic Glasses and Amorphous Alloys (13 papers) and Nonlinear Dynamics and Pattern Formation (12 papers). The work is most often cited by research in Sensory Systems (1.3k citations), Physiology (1.4k citations), Cellular and Molecular Neuroscience (985 citations), Pharmacology (782 citations) and Urology (273 citations). I. Nagy has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include László Urbán, H P Rang, John A. Pojman, Péter Sántha, John P. White, Francisco Cruz, Clifford J. Woolf, Mario Cibelli, Stuart Bevan and Jatinder Ahluwalia. Their work appears in journals such as Neuroscience, The Journal of Physical Chemistry, British Journal of Pharmacology, European Journal of Neuroscience 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.