Mingyang Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Biological Psychiatry top 10%
Papers in ⓘ
-
- Breast Cancer Treatment Studies 8
- Neurology 10
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Neurological Disease Mechanisms and Treatments 7
- Co-authors
- Aihua Liu (9 shared papers)Tang‐Long Shen (3 shared papers)Cheng‐Chih Hsu (5 shared papers)Hsin‐Hsiang Chung (4 shared papers)Min‐Liang Kuo (3 shared papers)Ming‐Tsan Lin (4 shared papers)Haipeng Yu (7 shared papers)Yung‐Ming Jeng (2 shared papers)
- Journals
- Analytical Chemistry (7 papers)Scientific Reports (6 papers)Frontiers in Immunology (4 papers)Analytica Chimica Acta (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Mingyang Wang
126 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 148
- Cancer Research 343
- Biological Psychiatry 50
- Molecular Biology 1.2k
- Neurology 101
- Spectroscopy 179
Countries citing papers authored by Mingyang Wang
This map shows the geographic impact of Mingyang Wang'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 Mingyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyang Wang more than expected).
Fields of papers citing papers by Mingyang Wang
This network shows the impact of papers produced by Mingyang Wang. 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 Mingyang Wang. The network helps show where Mingyang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyang Wang, 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 130 | |
| 2 | 2014 | 130 | |
| 3 | 2019 | 113 | |
| 4 | 2019 | 85 | |
| 5 | 2005 | 84 | |
| 6 | 2022 | 79 | |
| 7 | 2015 | 61 | |
| 8 | 2016 | 57 | |
| 9 | 2016 | 56 | |
| 10 | 2023 | 48 | |
| 11 | 2015 | 47 | |
| 12 | 2021 | 47 | |
| 13 | 2019 | 46 | |
| 14 | 2007 | 45 | |
| 15 | 2021 | 42 | |
| 16 | 2020 | 35 | |
| 17 | 2016 | 34 | |
| 18 | 2023 | 33 | |
| 19 | 2019 | 31 | |
| 20 | 2022 | 30 |
About Mingyang Wang
Mingyang Wang is a scholar working on Cancer Research, Neurology, Biological Psychiatry, Hematology and Molecular Biology, having authored 141 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Hematopoietic Stem Cell Transplantation (8 papers), Breast Cancer Treatment Studies (8 papers), Advanced Breast Cancer Therapies (7 papers), Neurological Disease Mechanisms and Treatments (7 papers), RNA Interference and Gene Delivery (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cancer Research (343 citations), Biological Psychiatry (50 citations), Molecular Biology (1.2k citations), Neurology (101 citations) and Spectroscopy (179 citations). Mingyang Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Aihua Liu, Tang‐Long Shen, Cheng‐Chih Hsu, Hsin‐Hsiang Chung, Min‐Liang Kuo, Ming‐Tsan Lin, Haipeng Yu, Yung‐Ming Jeng, Tao Dong and Jin Zhu. Their work appears in journals such as Analytical Chemistry, Scientific Reports, Frontiers in Immunology, Analytica Chimica Acta and International Journal of Molecular Sciences.
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.