Won Mah
Impact in
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research
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- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroscience and Neuropharmacology Research 8
- Neuroscience and Neural Engineering 3
- Genetics 8
- Genetics and Neurodevelopmental Disorders 6
- Genetic Associations and Epidemiology 2
- Co-authors
- Hyejung Won (5 shared papers)Eunjoon Kim (6 shared papers)Eunjoon Kim (1 shared paper)Yong Chul Bae (6 shared papers)Yi Sul Cho (3 shared papers)Daesoo Kim (2 shared papers)Jungyong Nam (3 shared papers)Kyungmin Lee (1 shared paper)
- Journals
- Scientific Reports (2 papers)Experimental Neurobiology (2 papers)Nature Medicine (1 paper)Frontiers in Neuroanatomy (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Won Mah
16 papers receiving 1.4k citations
Won Mah's Hit Papers
Peers
Comparison fields: 5 of 91
- Cognitive Neuroscience 480
- Cellular and Molecular Neuroscience 423
- Genetics 538
- Developmental Neuroscience 66
- Biological Psychiatry 29
Countries citing papers authored by Won Mah
This map shows the geographic impact of Won Mah'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 Won Mah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Mah more than expected).
Fields of papers citing papers by Won Mah
This network shows the impact of papers produced by Won Mah. 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 Won Mah. The network helps show where Won Mah may publish in the future.
Co-authors
The 25 scholars most cited alongside Won Mah, 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 | Autistic-like social behaviour in Shank2-mutant mice improved by restoring NMDA receptor function Hit paper breakdown → | 2012 | 567 |
| 2 | 2013 | 165 | |
| 3 | 2020 | 165 | |
| 4 | 2011 | 120 | |
| 5 | 2010 | 76 | |
| 6 | 2015 | 62 | |
| 7 | 2016 | 54 | |
| 8 | 2011 | 54 | |
| 9 | 2014 | 53 | |
| 10 | 2015 | 26 | |
| 11 | 2017 | 25 | |
| 12 | 2019 | 23 | |
| 13 | 2016 | 10 | |
| 14 | 2023 | 8 | |
| 15 | 2015 | 7 | |
| 16 | 2015 | 2 |
About Won Mah
Won Mah is a scholar working on Cellular and Molecular Neuroscience, Genetics, Cell Biology, Cognitive Neuroscience and Physiology, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Genetics and Neurodevelopmental Disorders (6 papers), Neuroscience and Neural Engineering (3 papers), Pain Mechanisms and Treatments (3 papers), Cellular transport and secretion (3 papers), Autism Spectrum Disorder Research (2 papers), Attention Deficit Hyperactivity Disorder (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Cognitive Neuroscience (480 citations), Cellular and Molecular Neuroscience (423 citations), Genetics (538 citations), Developmental Neuroscience (66 citations) and Biological Psychiatry (29 citations). Won Mah has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Hyejung Won, Eunjoon Kim, Eunjoon Kim, Yong Chul Bae, Yi Sul Cho, Daesoo Kim, Jungyong Nam, Kyungmin Lee, Changuk Chung and Jae‐Ick Kim. Their work appears in journals such as Scientific Reports, Experimental Neurobiology, Nature Medicine, Frontiers in Neuroanatomy 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.