Ling Fu
Impact in
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Natural Compounds in Disease Treatment 5
- Traditional Chinese Medicine Studies 2
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- Autoimmune and Inflammatory Disorders Research 3
- Co-authors
- Hans‐Peter GerberFranklin PealeXiumin WuWei‐Ching LiangNapoleone FerraraAjay K. MalikY. Gloria MengGermaine Fuh
- Journals
- Biomedicine & Pharmacotherapy (2 papers)Molecular Cancer Therapeutics (1 paper)International Journal of Environmental Research and Public Health (1 paper)Journal of Palliative Medicine (1 paper)The Journal of Pathology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ling Fu
18 papers receiving 673 citations
Peers
Comparison fields: 5 of 94
- Complementary and alternative medicine 69
- Cancer Research 114
- Pharmacology 58
- Anesthesiology and Pain Medicine 31
- Molecular Biology 364
Countries citing papers authored by Ling Fu
This map shows the geographic impact of Ling Fu'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 Ling Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Fu more than expected).
Fields of papers citing papers by Ling Fu
This network shows the impact of papers produced by Ling Fu. 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 Ling Fu. The network helps show where Ling Fu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ling Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 10 | |
| 2 | 2022 | 22 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 7 | |
| 5 | 2021 | 48 | |
| 6 | 2020 | 21 | |
| 7 | 2020 | 11 | |
| 8 | 2020 | 39 | |
| 9 | 2020 | 6 | |
| 10 | 2019 | 29 | |
| 11 | 2017 | 7 | |
| 12 | 2016 | 1 | |
| 13 | 2014 | 76 | |
| 14 | 2012 | 7 | |
| 15 | 2011 | 42 | |
| 16 | 2011 | 6 | |
| 17 | 2005 | 96 | |
| 18 | 2005 | 282 | |
| 19 | Why our Western-trained doctors should learn traditional Chinese medicine. | 2003 | 0 |
About Ling Fu
Ling Fu is a scholar working on Complementary and alternative medicine, Hematology, Developmental Neuroscience, Periodontics and Rheumatology, having authored 19 papers that have together received 715 indexed citations. Recurring topics across this work include Natural Compounds in Disease Treatment (5 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Palliative Care and End-of-Life Issues (3 papers), Natural product bioactivities and synthesis (2 papers), Patient Dignity and Privacy (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Traditional Chinese Medicine Studies (2 papers). The work is most often cited by research in Complementary and alternative medicine (69 citations), Cancer Research (114 citations), Pharmacology (58 citations), Anesthesiology and Pain Medicine (31 citations) and Molecular Biology (364 citations). Ling Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hans‐Peter Gerber, Franklin Peale, Xiumin Wu, Wei‐Ching Liang, Napoleone Ferrara, Ajay K. Malik, Y. Gloria Meng, Germaine Fuh, Chingwei V. Lee and Johnny Gutierrez. Their work appears in journals such as Biomedicine & Pharmacotherapy, Molecular Cancer Therapeutics, International Journal of Environmental Research and Public Health, Journal of Palliative Medicine and The Journal of Pathology.
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.