Teng Ma
- Genetics top 0.5%
- Mesenchymal stem cell research 41
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications 11
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 7
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 8
- Surgery top 2%
- Tissue Engineering and Regenerative Medicine 25
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- 3D Printing in Biomedical Research 17
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- Pluripotent Stem Cells Research 17
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- Autophagy in Disease and Therapy 7
- Co-authors
- Warren L. GraysonSébastien SartAng‐Chen TsaiBruce A. BunnellYan LiFeng ZhaoXuegang YuanYijun Liu
- Journals
- Nature (1 paper)SHILAP Revista de lepidopterología (2 papers)ACS Nano (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Teng Ma
85 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Genetics 1.7k
- Biomaterials 699
- Developmental Neuroscience 215
- Cancer Research 760
- Surgery 1.5k
Countries citing papers authored by Teng Ma
This map shows the geographic impact of Teng 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 Teng Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teng Ma more than expected).
Fields of papers citing papers by Teng Ma
This network shows the impact of papers produced by Teng 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 Teng Ma. The network helps show where Teng Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Teng 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 | 2024 | 8 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 17 | |
| 4 | 2023 | 8 | |
| 5 | 2020 | 48 | |
| 6 | 2019 | 5 | |
| 7 | 2019 | 24 | |
| 8 | 2019 | 28 | |
| 9 | 2017 | 24 | |
| 10 | 2016 | 3 | |
| 11 | 2015 | 162 | |
| 12 | 2013 | 325 | |
| 13 | 2013 | 8 | |
| 14 | 2012 | 8 | |
| 15 | Characteristics of tide-induced bottom boundary layers in Xiamen Bay under the tropical cyclone conditions | 2009 | 1 |
| 16 | Analysis and risk assessment of the oil spill in Xiamen Bay | 2009 | 1 |
| 17 | 2008 | 11 | |
| 18 | 2005 | 333 | |
| 19 | 2005 | 106 | |
| 20 | 2001 | 74 |
About Teng Ma
Teng Ma is a scholar working on Genetics, Developmental Neuroscience and Cancer Research, having authored 86 papers that have together received 4.9k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (41 papers), Tissue Engineering and Regenerative Medicine (25 papers), 3D Printing in Biomedical Research (17 papers), Pluripotent Stem Cells Research (17 papers), Electrospun Nanofibers in Biomedical Applications (11 papers), Cancer, Hypoxia, and Metabolism (8 papers), Autophagy in Disease and Therapy (7 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). The work is most often cited by research in Genetics (1.7k citations), Biomaterials (699 citations) and Developmental Neuroscience (215 citations). Teng Ma has collaborated with scholars based in United States, China and France. Frequent co-authors include Warren L. Grayson, Sébastien Sart, Ang‐Chen Tsai, Bruce A. Bunnell, Yan Li, Feng Zhao, Xuegang Yuan, Feng Zhao, Yan Li and Yijun Liu. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and ACS Nano.
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.