Tai Ma
Impact in
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- Circadian rhythm and melatonin
- Neuroscience of respiration and sleep
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- Thyroid Disorders and Treatments
- Thyroid Cancer Diagnosis and Treatment
Papers in
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- Gastric Cancer Management and Outcomes 10
- Co-authors
- G. Robert DeLong (6 shared papers)Guoping Sun (13 shared papers)Fei Zhong (6 shared papers)Lulu Fan (7 shared papers)Wei Wei (4 shared papers)Karen O’Donnell (3 shared papers)Xiaoqiu Li (2 shared papers)Paul W. Leslie (1 shared paper)
- Journals
- Journal of Pineal Research (3 papers)PLoS ONE (2 papers)Journal of Cancer (2 papers)International Immunopharmacology (2 papers)Developmental Medicine & Child Neurology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Tai Ma
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 121
- Endocrine and Autonomic Systems 163
- Endocrinology, Diabetes and Metabolism 385
- Pediatrics, Perinatology and Child Health 229
- Biological Psychiatry 22
- Obstetrics and Gynecology 54
Countries citing papers authored by Tai Ma
This map shows the geographic impact of Tai Ma'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 Tai Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai Ma more than expected).
Fields of papers citing papers by Tai Ma
This network shows the impact of papers produced by Tai Ma. 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 Tai Ma. The network helps show where Tai Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Tai Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 324 | |
| 2 | 1997 | 102 | |
| 3 | 2013 | 68 | |
| 4 | 2011 | 67 | |
| 5 | 2002 | 66 | |
| 6 | 2013 | 62 | |
| 7 | 2013 | 53 | |
| 8 | 1993 | 33 | |
| 9 | 2013 | 33 | |
| 10 | 2013 | 27 | |
| 11 | 1993 | 25 | |
| 12 | 2013 | 25 | |
| 13 | 2019 | 21 | |
| 14 | 2016 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2020 | 16 | |
| 17 | 2020 | 16 | |
| 18 | 2018 | 15 | |
| 19 | 2019 | 13 | |
| 20 | 2019 | 13 |
About Tai Ma
Tai Ma is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (10 papers), Thyroid Disorders and Treatments (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Hepatitis B Virus Studies (3 papers), Neonatal Health and Biochemistry (3 papers), Autophagy in Disease and Therapy (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (163 citations), Endocrinology, Diabetes and Metabolism (385 citations), Pediatrics, Perinatology and Child Health (229 citations), Biological Psychiatry (22 citations) and Obstetrics and Gynecology (54 citations). Tai Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include G. Robert DeLong, Guoping Sun, Fei Zhong, Lulu Fan, Wei Wei, Karen O’Donnell, Xiaoqiu Li, Paul W. Leslie, Jun Guo and Hua Wang. Their work appears in journals such as Journal of Pineal Research, PLoS ONE, Journal of Cancer, International Immunopharmacology and Developmental Medicine & Child 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.