Fangfang Mo
Impact in
- Biological Psychiatry top 10%
-
- Traditional Chinese Medicine Analysis
Papers in
-
- Bone Metabolism and Diseases 7
- Ginseng Biological Effects and Applications 6
- Metabolism, Diabetes, and Cancer 5
- Physiology 15
- Adipose Tissue and Metabolism 13
- Co-authors
- Dongwei Zhang (37 shared papers)Gao S (39 shared papers)Dandan Zhao (31 shared papers)Ruyuan Zhu (17 shared papers)Beibei Chen (15 shared papers)Guangjian Jiang (24 shared papers)Na Yu (16 shared papers)Yimiao Tian (8 shared papers)
- Journals
- Journal of Ethnopharmacology (5 papers)Frontiers in Pharmacology (5 papers)Cellular Physiology and Biochemistry (3 papers)Evidence-based Complementary and Alternative Medicine (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Fangfang Mo
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 116
- Biological Psychiatry 46
- Complementary and alternative medicine 150
- Pharmacology 149
- Geriatrics and Gerontology 55
- Biochemistry 74
Countries citing papers authored by Fangfang Mo
This map shows the geographic impact of Fangfang Mo'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 Fangfang Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangfang Mo more than expected).
Fields of papers citing papers by Fangfang Mo
This network shows the impact of papers produced by Fangfang Mo. 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 Fangfang Mo. The network helps show where Fangfang Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangfang Mo, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 128 | |
| 2 | 2017 | 110 | |
| 3 | 2019 | 105 | |
| 4 | 2015 | 92 | |
| 5 | 2017 | 66 | |
| 6 | 2019 | 66 | |
| 7 | 2021 | 62 | |
| 8 | 2017 | 54 | |
| 9 | 2016 | 50 | |
| 10 | 2020 | 46 | |
| 11 | 2017 | 43 | |
| 12 | 2017 | 43 | |
| 13 | 2017 | 39 | |
| 14 | 2017 | 36 | |
| 15 | 2018 | 34 | |
| 16 | 2018 | 32 | |
| 17 | 2020 | 32 | |
| 18 | 2021 | 32 | |
| 19 | 2017 | 32 | |
| 20 | 2016 | 30 |
About Fangfang Mo
Fangfang Mo is a scholar working on Molecular Biology, Physiology, Epidemiology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Bone Metabolism and Diseases (7 papers), Ginseng Biological Effects and Applications (6 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers), Metabolism, Diabetes, and Cancer (5 papers) and Bone health and osteoporosis research (4 papers). The work is most often cited by research in Biological Psychiatry (46 citations), Complementary and alternative medicine (150 citations), Pharmacology (149 citations), Geriatrics and Gerontology (55 citations) and Biochemistry (74 citations). Fangfang Mo has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Dongwei Zhang, Gao S, Dandan Zhao, Ruyuan Zhu, Beibei Chen, Guangjian Jiang, Na Yu, Yimiao Tian, Tian An and Lili Wang. Their work appears in journals such as Journal of Ethnopharmacology, Frontiers in Pharmacology, Cellular Physiology and Biochemistry, Evidence-based Complementary and Alternative Medicine and Scientific Reports.
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.