Li Fu
Impact in
- Geriatrics and Gerontology top 5%
- Cancer Research top 5%
- Breast Cancer Treatment Studies
Papers in
-
- Metabolism, Diabetes, and Cancer 7
-
- Breast Lesions and Carcinomas 14
- Lymphoma Diagnosis and Treatment 7
- Co-authors
- Yanmei Niu (31 shared papers)Hairui Yuan (10 shared papers)Sujuan Liu (20 shared papers)Xiaolei Liu (5 shared papers)Ronggang Lang (9 shared papers)Xiaojing Guo (8 shared papers)Feng Gu (13 shared papers)Xinmin Zhang (6 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (6 papers)Cancer Research (4 papers)PLoS ONE (3 papers)Experimental Cell Research (2 papers)Behavioural Brain Research (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Li Fu
137 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 121
- Geriatrics and Gerontology 75
- Cancer Research 308
- Pathology and Forensic Medicine 345
- Oncology 430
- Aging 28
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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 245 | |
| 2 | 2014 | 116 | |
| 3 | 2022 | 96 | |
| 4 | 2015 | 93 | |
| 5 | 2019 | 79 | |
| 6 | 2017 | 69 | |
| 7 | 2006 | 69 | |
| 8 | 2016 | 54 | |
| 9 | 2009 | 51 | |
| 10 | 2009 | 48 | |
| 11 | 2015 | 47 | |
| 12 | 2019 | 47 | |
| 13 | 2011 | 46 | |
| 14 | 2013 | 45 | |
| 15 | 2012 | 43 | |
| 16 | 2021 | 39 | |
| 17 | 2019 | 36 | |
| 18 | 2013 | 35 | |
| 19 | 2017 | 35 | |
| 20 | 2015 | 33 |
About Li Fu
Li Fu is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Physiology, Oncology and Epidemiology, having authored 151 papers that have together received 2.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (16 papers), Breast Lesions and Carcinomas (14 papers), Breast Cancer Treatment Studies (10 papers), Metabolism, Diabetes, and Cancer (7 papers), HER2/EGFR in Cancer Research (7 papers), Autophagy in Disease and Therapy (7 papers), Lymphoma Diagnosis and Treatment (7 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Geriatrics and Gerontology (75 citations), Cancer Research (308 citations), Pathology and Forensic Medicine (345 citations), Oncology (430 citations) and Aging (28 citations). Li Fu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yanmei Niu, Hairui Yuan, Sujuan Liu, Xiaolei Liu, Ronggang Lang, Xiaojing Guo, Feng Gu, Xinmin Zhang, Che‐Leung Law and Kim K. Emmerton. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Cancer Research, PLoS ONE, Experimental Cell Research and Behavioural Brain Research.
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.