M.‐X. Tang

3.3k total citations · 1 hit paper
27 papers, 2.5k citations indexed

About

M.‐X. Tang is a scholar working on Psychiatry and Mental health, Physiology and Neurology. According to data from OpenAlex, M.‐X. Tang has authored 27 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Psychiatry and Mental health, 9 papers in Physiology and 6 papers in Neurology. Recurrent topics in M.‐X. Tang's work include Dementia and Cognitive Impairment Research (10 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Alzheimer's disease research and treatments (4 papers). M.‐X. Tang is often cited by papers focused on Dementia and Cognitive Impairment Research (10 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Alzheimer's disease research and treatments (4 papers). M.‐X. Tang collaborates with scholars based in United States, China and United Kingdom. M.‐X. Tang's 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 and has published in prestigious journals such as Neurology, Annals of Neurology and Journal of the Neurological Sciences.

In The Last Decade

M.‐X. Tang

24 papers receiving 2.5k citations

Hit Papers

Incidence of AD in African-Americans, Caribbean Hispanics... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M.‐X. Tang United States 16 985 788 700 297 262 27 2.5k
Ming Tang United States 26 1.3k 1.3× 1.0k 1.3× 1.1k 1.5× 207 0.7× 317 1.2× 58 3.4k
J. M. Martínez‐Lage Spain 19 1.1k 1.1× 772 1.0× 773 1.1× 256 0.9× 252 1.0× 38 2.9k
David Bachman United States 29 1.3k 1.3× 993 1.3× 266 0.4× 123 0.4× 362 1.4× 68 3.4k
Olivier Rouaud France 33 1.2k 1.2× 794 1.0× 583 0.8× 367 1.2× 1.1k 4.2× 119 4.2k
L. J. Launer United States 13 667 0.7× 504 0.6× 734 1.0× 166 0.6× 274 1.0× 19 2.6k
H. Soininen Finland 22 1.3k 1.3× 1.1k 1.4× 450 0.6× 102 0.3× 280 1.1× 34 3.0k
Claudia L. Satizábal United States 30 1.0k 1.0× 971 1.2× 299 0.4× 191 0.6× 412 1.6× 122 3.4k
Marzia Baldereschi Italy 34 1.3k 1.3× 1.0k 1.3× 1.1k 1.6× 485 1.6× 957 3.7× 76 4.8k
Laure Carcaillon‐Bentata France 25 485 0.5× 625 0.8× 368 0.5× 369 1.2× 202 0.8× 77 2.3k
Keijo Koivisto Finland 30 1.4k 1.4× 1.2k 1.6× 320 0.5× 323 1.1× 206 0.8× 63 3.4k

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-authorship network of co-authors of M.‐X. Tang

This figure shows the co-authorship network connecting the top 25 collaborators of M.‐X. Tang. A scholar is included among the top collaborators of M.‐X. Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.‐X. Tang. M.‐X. Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tang, M.‐X., et al.. (2025). Improving Ancient Chinese Word Segmentation With Knowledge‐Enhanced Prompting for Large Language Models. International Journal of Intelligent Systems. 2025(1).
2.
Tang, M.‐X., et al.. (2025). Long‐term cost‐effectiveness of tirzepatide for individuals with type 2 diabetes and comorbid obesity. Diabetes Obesity and Metabolism. 27(8). 4288–4299. 1 indexed citations
3.
Tang, M.‐X., Rong Rong, Qing Li, et al.. (2025). Economic evaluation of screening, treatment, and prevention interventions for perinatal mood and anxiety disorders: a systematic review. General Hospital Psychiatry. 97. 253–274.
4.
Tang, M.‐X., et al.. (2024). Effect of Comfort Care on Perioperative Outcomes and Postoperative Recovery of Breast Cancer Patients.. PubMed. 30(12). 465–473. 1 indexed citations
5.
Tian, Jiawei, Yu Zhou, Lirong Yin, et al.. (2024). Control Structures and Algorithms for Force Feedback Bilateral Teleoperation Systems: A Comprehensive Review. Computer Modeling in Engineering & Sciences. 142(2). 973–1019. 4 indexed citations
7.
Zheng, Wen, et al.. (2023). [Enhance the management of cardiac arrest and improve the prognosis of the patients].. PubMed. 103(21). 1585–1590. 1 indexed citations
8.
Noble, James M., et al.. (2011). Type 2 Diabetes and Late-Onset Alzheimer’s Disease. Dementia and Geriatric Cognitive Disorders. 31(6). 424–430. 106 indexed citations
9.
Luchsinger, José A., Adam M. Brickman, Christiane Reitz, et al.. (2009). Subclinical cerebrovascular disease in mild cognitive impairment. Neurology. 73(6). 450–456. 74 indexed citations
10.
Muller, Majon, M.‐X. Tang, Nicole Schupf, et al.. (2009). Metabolic syndrome and dementia risk in a multiethnic elderly cohort. Journal of the Neurological Sciences. 283(1-2). 307–308. 7 indexed citations
11.
Luchsinger, José A., et al.. (2008). Body mass index, dementia, and mortality in the elderly. The journal of nutrition health & aging. 12(2). 127–131. 43 indexed citations
12.
Luchsinger, José A., M.‐X. Tang, & Richard Mayeux. (2007). Glycemic load and risk of Alzheimer's disease.. PubMed. 11(3). 238–41. 14 indexed citations
13.
Zhou, Dongtao, et al.. (2006). Leisure activity and risk of cognitive impairment: The Chongqing aging study. Neurology. 66(6). 911–913. 161 indexed citations
14.
Shi, Jiajun, Shuling Zhang, Chunyan Ma, et al.. (2003). Association between apolipoprotein CI HpaI polymorphism and sporadic Alzheimer's disease in Chinese. Acta Neurologica Scandinavica. 109(2). 140–145. 9 indexed citations
15.
Tang, M.‐X.. (2001). Clinical Outcome and Client Satisfaction of an Anger Management Group Program. Canadian Journal of Occupational Therapy. 68(4). 228–236. 16 indexed citations
16.
Ottman, Ruth, et al.. (2000). Familial Aggregation of Alzheimer Disease Among Whites, African Americans, and Caribbean Hispanics in Northern Manhattan. Archives of Neurology. 57(1). 72–72. 28 indexed citations
17.
Merchant, C., M.‐X. Tang, Steven M. Albert, et al.. (1999). The influence of smoking on the risk of Alzheimer’s disease. Neurology. 52(7). 1408–1408. 142 indexed citations
18.
Jacobs, Diane M., M.‐X. Tang, Yaakov Stern, et al.. (1998). Cognitive function in nondemented older women who took estrogen after menopause. Neurology. 50(2). 368–373. 252 indexed citations
19.
Louis, Elan D., Karen Marder, L. Côté, M.‐X. Tang, & Richard Mayeux. (1997). Mortality From Parkinson Disease. Archives of Neurology. 54(3). 260–264. 130 indexed citations
20.
Wilhelmsen, Kirk C., Daniel B. Mirel, Karen Marder, et al.. (1997). Is there a genetic susceptibility locus for Parkinson's disease on chromosome 22q13?. Annals of Neurology. 41(6). 813–817. 24 indexed citations

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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