Mo Yang
Impact in
- Toxicology top 10%
- Bioactive Compounds and Antitumor Agents
-
- Food composition and properties
- Microbial Metabolites in Food Biotechnology
Papers in
- Genetics 5
- Chronic Lymphocytic Leukemia Research 3
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- Traditional Chinese Medicine Analysis 3
- Co-authors
- Chi Kong Li (3 shared papers)Karen Li (3 shared papers)Tai Fai Fok (3 shared papers)Jason Burdick (1 shared paper)Bohan Yin (1 shared paper)Chunyi Wen (1 shared paper)Siu Hong Dexter Wong (1 shared paper)Claire E. Witherel (1 shared paper)
- Journals
- Blood (3 papers)Value in Health (2 papers)International Journal of Molecular Medicine (2 papers)Physiology and Molecular Biology of Plants (1 paper)Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Mo Yang
30 papers receiving 741 citations
Peers
Comparison fields: 5 of 96
- Toxicology 33
- Nutrition and Dietetics 77
- Complementary and alternative medicine 35
- Cancer Research 62
- Hematology 47
Countries citing papers authored by Mo Yang
This map shows the geographic impact of Mo Yang'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 Mo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mo Yang more than expected).
Fields of papers citing papers by Mo Yang
This network shows the impact of papers produced by Mo Yang. 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 Mo Yang. The network helps show where Mo Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mo Yang, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 136 | |
| 2 | 2004 | 86 | |
| 3 | 2018 | 80 | |
| 4 | 2009 | 70 | |
| 5 | 2022 | 60 | |
| 6 | 2014 | 42 | |
| 7 | 2003 | 41 | |
| 8 | 2018 | 33 | |
| 9 | 1999 | 28 | |
| 10 | 2019 | 22 | |
| 11 | 2009 | 21 | |
| 12 | 2021 | 19 | |
| 13 | 2021 | 19 | |
| 14 | 2020 | 18 | |
| 15 | 2021 | 12 | |
| 16 | 2019 | 10 | |
| 17 | 2024 | 9 | |
| 18 | 2015 | 8 | |
| 19 | 2015 | 7 | |
| 20 | 2021 | 7 |
About Mo Yang
Mo Yang is a scholar working on Genetics, Complementary and alternative medicine, Hematology, Molecular Biology and Oncology, having authored 30 papers that have together received 759 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cell death mechanisms and regulation (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), RNA Interference and Gene Delivery (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Toxicology (33 citations), Nutrition and Dietetics (77 citations), Complementary and alternative medicine (35 citations), Cancer Research (62 citations) and Hematology (47 citations). Mo Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chi Kong Li, Karen Li, Tai Fai Fok, Jason Burdick, Bohan Yin, Chunyi Wen, Siu Hong Dexter Wong, Claire E. Witherel, Fan Xu and Kam‐Lun Ellis Hon. Their work appears in journals such as Blood, Value in Health, International Journal of Molecular Medicine, Physiology and Molecular Biology of Plants and Cancer Research.
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.