Tean Ma
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
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- Central Venous Catheters and Hemodialysis
Papers in
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- Dialysis and Renal Disease Management 5
- Renal Diseases and Glomerulopathies 4
- Chronic Kidney Disease and Diabetes 2
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- Vascular Procedures and Complications 2
- Co-authors
- George Jackowski (1 shared paper)C.C. Liew (1 shared paper)Michael J. Sole (1 shared paper)Guohua Ding (3 shared papers)Xinghua Chen (3 shared papers)Dongqing Zha (2 shared papers)Pravin C. Singhal (1 shared paper)Jili Zhu (1 shared paper)
- Journals
- Journal of Nephrology (1 paper)Scientific Reports (1 paper)American Journal of Nephrology (1 paper)Medicine (1 paper)Endocrine Connections (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Tean Ma
14 papers receiving 354 citations
Peers
Comparison fields: 5 of 76
- Nephrology 134
- Emergency Medical Services 26
- Clinical Biochemistry 22
- Physiology 13
- Epidemiology 76
Countries citing papers authored by Tean Ma
This map shows the geographic impact of Tean 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 Tean Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tean Ma more than expected).
Fields of papers citing papers by Tean Ma
This network shows the impact of papers produced by Tean 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 Tean Ma. The network helps show where Tean Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Tean 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
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 118 | |
| 2 | 2013 | 97 | |
| 3 | 2014 | 32 | |
| 4 | 2020 | 16 | |
| 5 | 2013 | 13 | |
| 6 | 2021 | 13 | |
| 7 | 2018 | 13 | |
| 8 | 2012 | 12 | |
| 9 | 2018 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 2014 | 9 | |
| 12 | 2020 | 8 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 4 |
About Tean Ma
Tean Ma is a scholar working on Nephrology, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Emergency Medical Services, having authored 14 papers that have together received 362 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (5 papers), Renal Diseases and Glomerulopathies (4 papers), Chronic Kidney Disease and Diabetes (2 papers), Vascular Procedures and Complications (2 papers), Central Venous Catheters and Hemodialysis (2 papers), Hemoglobinopathies and Related Disorders (1 paper), Heart Failure Treatment and Management (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Nephrology (134 citations), Emergency Medical Services (26 citations), Clinical Biochemistry (22 citations), Physiology (13 citations) and Epidemiology (76 citations). Tean Ma has collaborated with scholars based in China, United States and Italy. Frequent co-authors include George Jackowski, C.C. Liew, Michael J. Sole, Guohua Ding, Xinghua Chen, Dongqing Zha, Pravin C. Singhal, Jili Zhu, Yong Zhang and Pan Zhang. Their work appears in journals such as Journal of Nephrology, Scientific Reports, American Journal of Nephrology, Medicine and Endocrine Connections.
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.