Mingyang Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Biological Psychiatry top 10%
Papers in
-
- Advanced biosensing and bioanalysis techniques 12
- RNA Interference and Gene Delivery 7
-
- Breast Cancer Treatment Studies 8
- Co-authors
- Aihua Liu (9 shared papers)Cheng‐Chih Hsu (5 shared papers)Tang‐Long Shen (3 shared papers)Hsin‐Hsiang Chung (4 shared papers)Min‐Liang Kuo (3 shared papers)Haipeng Yu (7 shared papers)Tao Dong (5 shared papers)Jin Zhu (4 shared papers)
- Journals
- Analytical Chemistry (7 papers)Scientific Reports (6 papers)Frontiers in Immunology (4 papers)International Journal of Molecular Sciences (3 papers)Analytica Chimica Acta (3 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Mingyang Wang
135 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 143
- Cancer Research 310
- Biological Psychiatry 43
- Molecular Biology 1.1k
- Neurology 88
- Spectroscopy 183
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 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 134 | |
| 2 | 2018 | 132 | |
| 3 | 2019 | 118 | |
| 4 | 2019 | 89 | |
| 5 | 2005 | 84 | |
| 6 | 2022 | 83 | |
| 7 | 2015 | 62 | |
| 8 | 2016 | 59 | |
| 9 | 2016 | 59 | |
| 10 | 2023 | 56 | |
| 11 | 2021 | 51 | |
| 12 | 2015 | 50 | |
| 13 | 2019 | 49 | |
| 14 | 2007 | 45 | |
| 15 | 2021 | 44 | |
| 16 | 2023 | 37 | |
| 17 | 2016 | 35 | |
| 18 | 2020 | 35 | |
| 19 | 2019 | 34 | |
| 20 | 2021 | 33 |
About Mingyang Wang
Mingyang Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Pulmonary and Respiratory Medicine, having authored 146 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (12 papers), Breast Cancer Treatment Studies (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), RNA Interference and Gene Delivery (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Mass Spectrometry Techniques and Applications (6 papers), Neurological Disease Mechanisms and Treatments (6 papers) and Advanced Breast Cancer Therapies (5 papers). The work is most often cited by research in Cancer Research (310 citations), Biological Psychiatry (43 citations), Molecular Biology (1.1k citations), Neurology (88 citations) and Spectroscopy (183 citations). Mingyang Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Aihua Liu, Cheng‐Chih Hsu, Tang‐Long Shen, Hsin‐Hsiang Chung, Min‐Liang Kuo, Haipeng Yu, Tao Dong, Jin Zhu, Yung‐Ming Jeng and Ting-Hao Kuo. Their work appears in journals such as Analytical Chemistry, Scientific Reports, Frontiers in Immunology, International Journal of Molecular Sciences and Analytica Chimica Acta.
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.