Ming-X Tang
Impact in
- Psychiatry and Mental health top 2%
- Dementia and Cognitive Impairment Research
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Dementia and Cognitive Impairment Research 4
-
- Genetic Neurodegenerative Diseases 2
- Co-authors
- Yaakov Stern (6 shared papers)Nicole Schupf (6 shared papers)Jennifer J. Manly (4 shared papers)R. Mayeux (1 shared paper)Lawrence S. Honig (1 shared paper)Pankaj Mehta (1 shared paper)Richard Mayeux (2 shared papers)Elizabeth Helzner (1 shared paper)
- Journals
- Neurology (4 papers)Journal of Geriatric Psychiatry and Neurology (1 paper)Dementia and Geriatric Cognitive Disorders (1 paper)Supplements to Clinical neurophysiology (2 papers)Archives of Neurology (2 papers)
- Partner nations
- United StatesSpainBelgium
In The Last Decade
Ming-X Tang
10 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 85
- Psychiatry and Mental health 491
- Neurology 237
- Physiology 358
- Neurology 112
- Neuropsychology and Physiological Psychology 18
Countries citing papers authored by Ming-X Tang
This map shows the geographic impact of Ming-X Tang'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 Ming-X Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-X Tang more than expected).
Fields of papers citing papers by Ming-X Tang
This network shows the impact of papers produced by Ming-X Tang. 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 Ming-X Tang. The network helps show where Ming-X Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-X Tang, 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 | 2003 | 369 | |
| 2 | 2005 | 210 | |
| 3 | 2005 | 208 | |
| 4 | 2007 | 166 | |
| 5 | 2008 | 155 | |
| 6 | 2011 | 82 | |
| 7 | 2009 | 63 | |
| 8 | 2007 | 10 | |
| 9 | 2009 | 9 | |
| 10 | 2006 | 4 |
About Ming-X Tang
Ming-X Tang is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Neurology, Genetics and Neurology, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Neurogenetic and Muscular Disorders Research (2 papers), Transcranial Magnetic Stimulation Studies (2 papers), Genetic Neurodegenerative Diseases (2 papers), Alzheimer's disease research and treatments (1 paper), Memory and Neural Mechanisms (1 paper) and Health, Environment, Cognitive Aging (1 paper). The work is most often cited by research in Psychiatry and Mental health (491 citations), Neurology (237 citations), Physiology (358 citations), Neurology (112 citations) and Neuropsychology and Physiological Psychology (18 citations). Ming-X Tang has collaborated with scholars based in United States, Spain and Belgium. Frequent co-authors include Yaakov Stern, Nicole Schupf, Jennifer J. Manly, R. Mayeux, Lawrence S. Honig, Pankaj Mehta, Richard Mayeux, Elizabeth Helzner, Stephanie Cosentino and Hiroshi Mitsumoto. Their work appears in journals such as Neurology, Journal of Geriatric Psychiatry and Neurology, Dementia and Geriatric Cognitive Disorders, Supplements to Clinical neurophysiology and Archives of Neurology.
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.