J.I. Nagy
- Cellular and Molecular Neuroscience top 0.1%
- Neuroscience and Neuropharmacology Research 71
- Neuropeptides and Animal Physiology 33
- Endocrine and Autonomic Systems top 0.5%
- Physiology top 0.2%
- Adenosine and Purinergic Signaling 29
- Biochemical effects in animals 24
- Sensory Systems top 0.5%
- Developmental Neuroscience top 0.5%
-
- Connexins and lens biology 103
- Nicotinic Acetylcholine Receptors Study 42
- Ion channel regulation and function 36
- Heat shock proteins research 22
- Co-authors
- John E. RashElliot L. HertzbergTakenori YamamotoStephen P. HuntH.C. FibigerThomas YasumuraXinbo LiWei Li
- Journals
- Neuroscience (39 papers)Brain Research (29 papers)European Journal of Neuroscience (18 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
J.I. Nagy
219 papers receiving 12.6k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Cellular and Molecular Neuroscience 6.6k
- Endocrine and Autonomic Systems 1.2k
- Physiology 740
- Sensory Systems 779
- Developmental Neuroscience 583
Countries citing papers authored by J.I. Nagy
This map shows the geographic impact of J.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 J.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 J.I. Nagy more than expected).
Fields of papers citing papers by J.I. Nagy
This network shows the impact of papers produced by J.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 J.I. Nagy. The network helps show where J.I. Nagy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J.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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2018 | 15 | |
| 3 | 2018 | 8 | |
| 4 | 2017 | 2 | |
| 5 | 2017 | 1 | |
| 6 | 2017 | 16 | |
| 7 | 2017 | 71 | |
| 8 | 2017 | 26 | |
| 9 | 2012 | 26 | |
| 10 | 2011 | 31 | |
| 11 | 2011 | 37 | |
| 12 | 2008 | 50 | |
| 13 | 2006 | 40 | |
| 14 | 2004 | 57 | |
| 15 | 2001 | 43 | |
| 16 | 1995 | 56 | |
| 17 | 1994 | 16 | |
| 18 | 1991 | 46 | |
| 19 | 1990 | 203 | |
| 20 | EFFECTS OF CAPSAICIN ON DORSAL-ROOT AFFERENTS | 1982 | 5 |
About J.I. Nagy
J.I. Nagy is a scholar working on Physiology, Cellular and Molecular Neuroscience, Sensory Systems, Endocrine and Autonomic Systems and Molecular Biology, having authored 221 papers that have together received 12.9k indexed citations. Recurring topics across this work include Connexins and lens biology (103 papers), Neuroscience and Neuropharmacology Research (71 papers), Nicotinic Acetylcholine Receptors Study (42 papers), Ion channel regulation and function (36 papers), Neuropeptides and Animal Physiology (33 papers), Adenosine and Purinergic Signaling (29 papers), Biochemical effects in animals (24 papers) and Heat shock proteins research (22 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.6k citations), Endocrine and Autonomic Systems (1.2k citations), Physiology (740 citations), Sensory Systems (779 citations) and Developmental Neuroscience (583 citations). J.I. Nagy has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include John E. Rash, Elliot L. Hertzberg, Takenori Yamamoto, Stephen P. Hunt, H.C. Fibiger, Thomas Yasumura, Xinbo Li, Wei Li, William A. Staines and Peter E. Daddona. Their work appears in journals such as Neuroscience, Brain Research, European Journal of Neuroscience, The Journal of Comparative Neurology and Journal of Neuroscience.
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.