Li Fu
Impact in
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- Supramolecular Self-Assembly in Materials
Papers in
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- Protein Degradation and Inhibitors 10
- Histone Deacetylase Inhibitors Research 3
- Ubiquitin and proteasome pathways 3
- Surgery 6
- Co-authors
- Kewei Li (3 shared papers)Chao Yang (2 shared papers)Fu Ji (3 shared papers)Ming Xu (2 shared papers)Huojian Shen (2 shared papers)Hongyi Zhu (3 shared papers)Jan O. Johansson (10 shared papers)Michael Sweeney (12 shared papers)
- Journals
- Biomedicines (3 papers)Scientific Reports (2 papers)Clinical Epigenetics (2 papers)ACS Applied Materials & Interfaces (2 papers)Human Gene Therapy (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Li Fu
37 papers receiving 655 citations
Li Fu's Hit Papers
Peers
Comparison fields: 5 of 99
- Biomaterials 66
- Hematology 45
- Pulmonary and Respiratory Medicine 128
- Molecular Biology 249
- Surgery 159
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 116 | |
| 2 | 2019 | 90 | |
| 3 | 2015 | 76 | |
| 4 | 2015 | 47 | |
| 5 | 2023 | 43 | |
| 6 | 2019 | 32 | |
| 7 | 2020 | 31 | |
| 8 | 2018 | 21 | |
| 9 | 2021 | 21 | |
| 10 | Molecular mechanisms in liver repair and regeneration: from physiology to therapeutics Hit paper breakdown → | 2025 | 20 |
| 11 | 2024 | 20 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2022 | 12 | |
| 15 | 2024 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2021 | 10 |
About Li Fu
Li Fu is a scholar working on Molecular Biology, Surgery, Hematology, Reproductive Medicine and Oncology, having authored 40 papers that have together received 674 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (10 papers), Sperm and Testicular Function (5 papers), Histone Deacetylase Inhibitors Research (3 papers), Gallbladder and Bile Duct Disorders (3 papers), Peptidase Inhibition and Analysis (3 papers), HIV Research and Treatment (3 papers), Reproductive Biology and Fertility (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Biomaterials (66 citations), Hematology (45 citations), Pulmonary and Respiratory Medicine (128 citations), Molecular Biology (249 citations) and Surgery (159 citations). Li Fu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kewei Li, Chao Yang, Fu Ji, Ming Xu, Huojian Shen, Hongyi Zhu, Jan O. Johansson, Michael Sweeney, Ewelina Kulikowski and Dapeng Zhang. Their work appears in journals such as Biomedicines, Scientific Reports, Clinical Epigenetics, ACS Applied Materials & Interfaces and Human Gene 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.