Fangli Ma
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Gut microbiota and health 8
-
- Polysaccharides and Plant Cell Walls 12
- Co-authors
- Minghua Hu (27 shared papers)Chung Wah (9 shared papers)Zebo Huang (6 shared papers)Haifeng Li (5 shared papers)Yuanyuan Wang (11 shared papers)Yuanyuan Wang (6 shared papers)Ju Zhang (4 shared papers)Lingyun Xiao (4 shared papers)
- Journals
- RSC Advances (4 papers)Food & Function (4 papers)Rejuvenation Research (3 papers)Food and Agricultural Immunology (2 papers)Macromolecular Bioscience (2 papers)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Fangli Ma
64 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 113
- Aging 98
- Complementary and alternative medicine 132
- Aquatic Science 119
- Pharmacology 135
- Biological Psychiatry 36
Countries citing papers authored by Fangli Ma
This map shows the geographic impact of Fangli Ma'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 Fangli Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangli Ma more than expected).
Fields of papers citing papers by Fangli Ma
This network shows the impact of papers produced by Fangli Ma. 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 Fangli Ma. The network helps show where Fangli Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangli Ma, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 100 | |
| 2 | 2017 | 85 | |
| 3 | 2017 | 80 | |
| 4 | 2016 | 67 | |
| 5 | 2012 | 67 | |
| 6 | 2019 | 64 | |
| 7 | 2014 | 53 | |
| 8 | 2018 | 49 | |
| 9 | 2019 | 46 | |
| 10 | 2019 | 45 | |
| 11 | 2016 | 43 | |
| 12 | 2019 | 42 | |
| 13 | 2018 | 40 | |
| 14 | 2018 | 38 | |
| 15 | 2018 | 38 | |
| 16 | 2018 | 38 | |
| 17 | 2020 | 37 | |
| 18 | 2016 | 37 | |
| 19 | 2015 | 36 | |
| 20 | 2018 | 34 |
About Fangli Ma
Fangli Ma is a scholar working on Molecular Biology, Plant Science, Food Science, Immunology and Complementary and alternative medicine, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Polysaccharides and Plant Cell Walls (12 papers), Gut microbiota and health (8 papers), Diet and metabolism studies (6 papers), Immune cells in cancer (5 papers), Proteoglycans and glycosaminoglycans research (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Glaucoma and retinal disorders (4 papers) and Probiotics and Fermented Foods (4 papers). The work is most often cited by research in Aging (98 citations), Complementary and alternative medicine (132 citations), Aquatic Science (119 citations), Pharmacology (135 citations) and Biological Psychiatry (36 citations). Fangli Ma has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Minghua Hu, Chung Wah, Zebo Huang, Haifeng Li, Yuanyuan Wang, Yuanyuan Wang, Ju Zhang, Lingyun Xiao, Mengxia Wang and Zhihai Qin. Their work appears in journals such as RSC Advances, Food & Function, Rejuvenation Research, Food and Agricultural Immunology and Macromolecular Bioscience.
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.