Ling Fu
Impact in
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- Natural Compounds in Disease Treatment
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Natural Compounds in Disease Treatment 5
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- Natural product bioactivities and synthesis 2
- Co-authors
- Hans‐Peter Gerber (1 shared paper)Germaine Fuh (1 shared paper)Johnny Gutierrez (1 shared paper)Chingwei V. Lee (1 shared paper)Ajay K. Malik (1 shared paper)Y. Gloria Meng (1 shared paper)Wei‐Ching Liang (1 shared paper)Napoleone Ferrara (1 shared paper)
- Journals
- Biomedicine & Pharmacotherapy (2 papers)Pharmacological Research (1 paper)BioMed Research International (1 paper)International Journal of Environmental Research and Public Health (1 paper)PeerJ (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ling Fu
18 papers receiving 691 citations
Peers
Comparison fields: 5 of 89
- Complementary and alternative medicine 60
- Cancer Research 97
- Anesthesiology and Pain Medicine 25
- Pharmacology 42
- Molecular Biology 311
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-authors
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 | 2005 | 281 | |
| 2 | 2005 | 96 | |
| 3 | 2014 | 78 | |
| 4 | 2021 | 53 | |
| 5 | 2011 | 42 | |
| 6 | 2020 | 41 | |
| 7 | 2019 | 29 | |
| 8 | 2022 | 23 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2021 | 9 | |
| 13 | 2012 | 7 | |
| 14 | 2011 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2016 | 1 | |
| 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, Molecular Biology, Public Health, Environmental and Occupational Health, Pharmacology and Oncology, having authored 19 papers that have together received 732 indexed citations. Recurring topics across this work include Natural Compounds in Disease Treatment (5 papers), Palliative Care and End-of-Life Issues (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Natural product bioactivities and synthesis (2 papers), Patient Dignity and Privacy (2 papers), Cancer Genomics and Diagnostics (1 paper), T-cell and B-cell Immunology (1 paper) and Pain Management and Opioid Use (1 paper). The work is most often cited by research in Complementary and alternative medicine (60 citations), Cancer Research (97 citations), Anesthesiology and Pain Medicine (25 citations), Pharmacology (42 citations) and Molecular Biology (311 citations). Ling Fu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hans‐Peter Gerber, Germaine Fuh, Johnny Gutierrez, Chingwei V. Lee, Ajay K. Malik, Y. Gloria Meng, Wei‐Ching Liang, Napoleone Ferrara, Franklin Peale and Xiumin Wu. Their work appears in journals such as Biomedicine & Pharmacotherapy, Pharmacological Research, BioMed Research International, International Journal of Environmental Research and Public Health and PeerJ.
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.