Ze‐Mu Wang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
Papers in
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- Tea Polyphenols and Effects 8
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Bo Zhou (7 shared papers)Liansheng Wang (17 shared papers)Wei Gao (7 shared papers)Huan Zhao (6 shared papers)Qiming Wang (8 shared papers)Lian‐Sheng Wang (2 shared papers)Xiaoqing Lian (5 shared papers)Zhijian Yang (5 shared papers)
- Journals
- Nutrition (4 papers)Cellular Physiology and Biochemistry (3 papers)Nutrition Metabolism and Cardiovascular Diseases (2 papers)Medicine (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ze‐Mu Wang
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 416
- Biochemistry 125
- Pathology and Forensic Medicine 237
- Applied Microbiology and Biotechnology 20
- Biological Psychiatry 24
Countries citing papers authored by Ze‐Mu Wang
This map shows the geographic impact of Ze‐Mu 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 Ze‐Mu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ze‐Mu Wang more than expected).
Fields of papers citing papers by Ze‐Mu Wang
This network shows the impact of papers produced by Ze‐Mu 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 Ze‐Mu Wang. The network helps show where Ze‐Mu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ze‐Mu 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 173 | |
| 2 | 2019 | 135 | |
| 3 | 2011 | 123 | |
| 4 | 2015 | 108 | |
| 5 | 2016 | 83 | |
| 6 | 2020 | 75 | |
| 7 | 2012 | 57 | |
| 8 | 2013 | 47 | |
| 9 | 2014 | 47 | |
| 10 | 2017 | 39 | |
| 11 | 2014 | 38 | |
| 12 | 2013 | 35 | |
| 13 | 2014 | 33 | |
| 14 | 2017 | 33 | |
| 15 | 2015 | 29 | |
| 16 | 2016 | 27 | |
| 17 | 2019 | 22 | |
| 18 | 2015 | 21 | |
| 19 | 2018 | 20 | |
| 20 | 2012 | 20 |
About Ze‐Mu Wang
Ze‐Mu Wang is a scholar working on Pathology and Forensic Medicine, Cancer Research, Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (8 papers), Phytochemicals and Antioxidant Activities (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Circular RNAs in diseases (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Ginkgo biloba and Cashew Applications (4 papers), MicroRNA in disease regulation (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (416 citations), Biochemistry (125 citations), Pathology and Forensic Medicine (237 citations), Applied Microbiology and Biotechnology (20 citations) and Biological Psychiatry (24 citations). Ze‐Mu Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Bo Zhou, Liansheng Wang, Wei Gao, Huan Zhao, Qiming Wang, Lian‐Sheng Wang, Xiaoqing Lian, Zhijian Yang, Zhijian Yang and Dingguo Zhang. Their work appears in journals such as Nutrition, Cellular Physiology and Biochemistry, Nutrition Metabolism and Cardiovascular Diseases, Medicine and PLoS ONE.
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.