István Módy
Impact in
- Cellular and Molecular Neuroscience top 0.01%
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Developmental Neuroscience top 0.1%
Papers in
-
- Neuroscience and Neuropharmacology Research 169
- Neuroscience and Neural Engineering 30
- Photoreceptor and optogenetics research 22
-
- Neural dynamics and brain function 53
- Memory and Neural Mechanisms 26
- Co-authors
- Thomas S. OtisJamie MaguireJoseph GlykysBrandon M. StellYves De KoninckStephen G. BrickleyZoltán NusserKevin J. Staley
- Journals
- Journal of Neuroscience (24 papers)Journal of Neurophysiology (20 papers)Epilepsia (12 papers)Nature Neuroscience (10 papers)The Journal of Physiology (9 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
István Módy
217 papers receiving 24.1k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Cellular and Molecular Neuroscience 18.6k
- Developmental Neuroscience 1.9k
- Cognitive Neuroscience 7.8k
- Neurology 3.0k
- Behavioral Neuroscience 1.3k
Countries citing papers authored by István Módy
This map shows the geographic impact of István Módy'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 István Módy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites István Módy more than expected).
Fields of papers citing papers by István Módy
This network shows the impact of papers produced by István Módy. 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 István Módy. The network helps show where István Módy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside István Módy, 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 2 | |
| 5 | 2017 | 19 | |
| 6 | 2014 | 39 | |
| 7 | 2013 | 219 | |
| 8 | 2011 | 20 | |
| 9 | 2010 | 76 | |
| 10 | 2008 | 346 | |
| 11 | 2008 | 18 | |
| 12 | 2008 | 342 | |
| 13 | 2007 | 173 | |
| 14 | 2006 | 8 | |
| 15 | 2003 | 322 | |
| 16 | 2003 | 6 | |
| 17 | 2002 | 17 | |
| 18 | 1994 | 414 | |
| 19 | 1991 | 78 | |
| 20 | 1990 | 45 |
About István Módy
István Módy is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Behavioral Neuroscience, Neurology and Developmental Neuroscience, having authored 219 papers that have together received 24.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (169 papers), Ion channel regulation and function (64 papers), Neural dynamics and brain function (53 papers), Neuroscience and Neural Engineering (30 papers), Memory and Neural Mechanisms (26 papers), Neuroinflammation and Neurodegeneration Mechanisms (23 papers), Photoreceptor and optogenetics research (22 papers) and Receptor Mechanisms and Signaling (21 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (18.6k citations), Developmental Neuroscience (1.9k citations), Cognitive Neuroscience (7.8k citations), Neurology (3.0k citations) and Behavioral Neuroscience (1.3k citations). István Módy has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Thomas S. Otis, Jamie Maguire, Joseph Glykys, Brandon M. Stell, Yves De Koninck, Stephen G. Brickley, Zoltán Nusser, Kevin J. Staley, Norbert Hájos and Uwe Heinemann. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology, Epilepsia, Nature Neuroscience and The Journal of Physiology.
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.