M.‐X. Tang

24 papers receiving 2.5k citations

Hit Papers

Incidence of AD in African-Americans, Caribbean Hispanics, and Caucasians in northern Manhattan 2001 · 592 citations
5922001202620092017100200300400500

Peers

M.‐X. Tang
Comparison fields: 5 of 113
  • Psychiatry and Mental health 985
  • Neuropsychology and Physiological Psychology 70
  • Neurology 700
  • Physiology 788
  • Neurology 203
Replace Ming Tang with:
Ming Tang United States
David Bachman United States
H. Soininen Finland
L. J. Launer United States
Sophie Auriacombe France
Olivier Rouaud France
J. M. Martínez‐Lage Spain
Marzia Baldereschi Italy
Roberto Monastero Italy
Joseph S. Goveas United States
M.‐X. Tang relative to Ming Tang United States Ming Tang's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.‐X. Tang

Since Specialization
Citations

This map shows the geographic impact of M.‐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 M.‐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 M.‐X. Tang more than expected).

Fields of papers citing papers by M.‐X. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.‐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 M.‐X. Tang. The network helps show where M.‐X. Tang may publish in the future.

Co-authors

The 25 scholars most cited alongside M.‐X. Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.‐X. Tang Line = papers co-authored together M.‐X. Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Incidence of AD in African-Americans, Caribbean Hispanics, and Caucasians in northern Manhattan
Hit paper breakdown →
2001592
2 1995446
3 1998252
4 2002201
5 2003172
6 2006161
7 1999142
8 1997130
9 2011106
10 200594
11 200974
12 200843
13 200028
14 199724
15 199919
16 200116
17
Glycemic load and risk of Alzheimer's disease.
200714
18 20039
19 20097
20 20244

About M.‐X. Tang

M.‐X. Tang is a scholar working on Psychiatry and Mental health, Neurology, Physiology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 27 papers that have together received 2.5k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (10 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Alzheimer's disease research and treatments (4 papers), Nutritional Studies and Diet (4 papers), Acute Ischemic Stroke Management (2 papers), Neurological disorders and treatments (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Chronic Disease Management Strategies (2 papers). The work is most often cited by research in Psychiatry and Mental health (985 citations), Neuropsychology and Physiological Psychology (70 citations), Neurology (700 citations), Physiology (788 citations) and Neurology (203 citations). M.‐X. Tang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Richard Mayeux, Yaakov Stern, Karen Marder, Diane M. Jacobs, L. Côté, C. Merchant, Elan D. Louis, Scott A. Small, José A. Luchsinger and Ruth Ottman. Their work appears in journals such as Neurology, Diabetes Obesity and Metabolism, Computer Modeling in Engineering & Sciences, Dementia and Geriatric Cognitive Disorders and The journal of nutrition health & aging.

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.

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