Li Fu
Impact in
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- Supramolecular Self-Assembly in Materials
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- Gallbladder and Bile Duct Disorders
Papers in
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- Protein Degradation and Inhibitors 10
- Ubiquitin and proteasome pathways 2
- RNA Interference and Gene Delivery 2
- Surgery 5
- Co-authors
- Chao Yang (2 shared papers)Fu Ji (3 shared papers)Kewei Li (3 shared papers)Huojian Shen (2 shared papers)Ming Xu (2 shared papers)Hongyi Zhu (3 shared papers)Ewelina Kulikowski (13 shared papers)Michael Sweeney (12 shared papers)
- Journals
- Biomedicines (3 papers)Scientific Reports (2 papers)ACS Applied Materials & Interfaces (2 papers)Clinical Epigenetics (2 papers)Signal Transduction and Targeted Therapy (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Li Fu
39 papers receiving 705 citations
Li Fu's Hit Papers
Peers
Comparison fields: 5 of 96
- Biomaterials 69
- Pulmonary and Respiratory Medicine 118
- Hematology 40
- Molecular Biology 253
- Surgery 107
Countries citing papers authored by Li Fu
This map shows the geographic impact of Li 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 Li Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Fu more than expected).
Fields of papers citing papers by Li Fu
This network shows the impact of papers produced by Li 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 Li Fu. The network helps show where Li Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 118 | |
| 2 | 2019 | 97 | |
| 3 | 2015 | 82 | |
| 4 | 2015 | 52 | |
| 5 | 2023 | 45 | |
| 6 | 2020 | 32 | |
| 7 | 2019 | 32 | |
| 8 | Molecular mechanisms in liver repair and regeneration: from physiology to therapeutics Hit paper breakdown → | 2025 | 29 |
| 9 | 2024 | 23 | |
| 10 | 2021 | 21 | |
| 11 | 2018 | 21 | |
| 12 | 2021 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2024 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 10 |
About Li Fu
Li Fu is a scholar working on Molecular Biology, Surgery, Epidemiology, Reproductive Medicine and Oncology, having authored 41 papers that have together received 726 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (10 papers), Sperm and Testicular Function (4 papers), Ubiquitin and proteasome pathways (2 papers), RNA Interference and Gene Delivery (2 papers), Platelet Disorders and Treatments (2 papers), Peptidase Inhibition and Analysis (2 papers), Animal Genetics and Reproduction (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Biomaterials (69 citations), Pulmonary and Respiratory Medicine (118 citations), Hematology (40 citations), Molecular Biology (253 citations) and Surgery (107 citations). Li Fu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chao Yang, Fu Ji, Kewei Li, Huojian Shen, Ming Xu, Hongyi Zhu, Ewelina Kulikowski, Michael Sweeney, Norman C.W. Wong and Stephanie C. Stotz. Their work appears in journals such as Biomedicines, Scientific Reports, ACS Applied Materials & Interfaces, Clinical Epigenetics and Signal Transduction and Targeted Therapy.
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.