Wei Ma
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Biological Psychiatry top 10%
Papers in
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- Semiconductor materials and devices 10
- Advancements in Semiconductor Devices and Circuit Design 8
- Advanced MEMS and NEMS Technologies 6
- Silicon Carbide Semiconductor Technologies 5
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- Gut microbiota and health 3
- Co-authors
- Qinghua Cui (9 shared papers)Jichun Yang (5 shared papers)Junyi Wang (2 shared papers)Pan Zeng (2 shared papers)Jianwei Li (2 shared papers)Savaş Kaya (5 shared papers)Bin Geng (1 shared paper)Yi He (2 shared papers)
- Journals
- Scientific Reports (5 papers)Briefings in Bioinformatics (2 papers)Gene (1 paper)Science China Life Sciences (1 paper)Library Hi Tech (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wei Ma
79 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 156
- Cancer Research 352
- Biological Psychiatry 35
- Molecular Biology 855
- Endocrinology 47
- Gastroenterology 38
Countries citing papers authored by Wei Ma
This map shows the geographic impact of Wei 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 Wei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ma more than expected).
Fields of papers citing papers by Wei Ma
This network shows the impact of papers produced by Wei 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 Wei Ma. The network helps show where Wei Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 323 | |
| 2 | 2016 | 191 | |
| 3 | 2018 | 163 | |
| 4 | 2019 | 100 | |
| 5 | 2016 | 69 | |
| 6 | 2004 | 64 | |
| 7 | 2009 | 58 | |
| 8 | 2016 | 56 | |
| 9 | 2018 | 53 | |
| 10 | 2014 | 43 | |
| 11 | 2014 | 43 | |
| 12 | 2020 | 38 | |
| 13 | 2008 | 37 | |
| 14 | 2007 | 36 | |
| 15 | 2015 | 34 | |
| 16 | 2017 | 34 | |
| 17 | 2021 | 29 | |
| 18 | 2008 | 29 | |
| 19 | 2014 | 28 | |
| 20 | 2020 | 24 |
About Wei Ma
Wei Ma is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Biomedical Engineering, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 89 papers that have together received 1.8k indexed citations. Recurring topics across this work include Semiconductor materials and devices (10 papers), Advancements in Semiconductor Devices and Circuit Design (8 papers), Advanced MEMS and NEMS Technologies (6 papers), Cancer-related molecular mechanisms research (5 papers), Silicon Carbide Semiconductor Technologies (5 papers), Mechanical and Optical Resonators (4 papers), Advanced Vision and Imaging (4 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Cancer Research (352 citations), Biological Psychiatry (35 citations), Molecular Biology (855 citations), Endocrinology (47 citations) and Gastroenterology (38 citations). Wei Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qinghua Cui, Jichun Yang, Junyi Wang, Pan Zeng, Jianwei Li, Savaş Kaya, Bin Geng, Yi He, Juan Wang and Juan Zhang. Their work appears in journals such as Scientific Reports, Briefings in Bioinformatics, Gene, Science China Life Sciences and Library Hi Tech.
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.