Lin Fu
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 7
- RNA Research and Splicing 6
- Ubiquitin and proteasome pathways 4
-
- Cancer-related molecular mechanisms research 5
- NF-κB Signaling Pathways 4
- Co-authors
- Qingchang Li (19 shared papers)Enhua Wang (12 shared papers)Qianze Dong (8 shared papers)Xueshan Qiu (5 shared papers)Qianze Dong (7 shared papers)Chengyao Xie (8 shared papers)Zhongping Tang (2 shared papers)Yue Zhao (4 shared papers)
- Journals
- Tumor Biology (7 papers)Oncotarget (4 papers)OncoTargets and Therapy (3 papers)Molecular Carcinogenesis (2 papers)Gene (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Lin Fu
33 papers receiving 949 citations
Peers
Comparison fields: 5 of 77
- Geriatrics and Gerontology 126
- Cancer Research 274
- Molecular Biology 653
- Cell Biology 131
- Oncology 211
Countries citing papers authored by Lin Fu
This map shows the geographic impact of Lin 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 Lin Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Fu more than expected).
Fields of papers citing papers by Lin Fu
This network shows the impact of papers produced by Lin 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 Lin Fu. The network helps show where Lin Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 107 | |
| 2 | 2016 | 105 | |
| 3 | 2012 | 95 | |
| 4 | 2019 | 87 | |
| 5 | 2017 | 47 | |
| 6 | 2014 | 40 | |
| 7 | 2017 | 37 | |
| 8 | 2017 | 34 | |
| 9 | 2020 | 34 | |
| 10 | 2013 | 32 | |
| 11 | 2019 | 31 | |
| 12 | 2019 | 29 | |
| 13 | 2020 | 27 | |
| 14 | 2014 | 26 | |
| 15 | 2017 | 26 | |
| 16 | 2014 | 22 | |
| 17 | 2015 | 22 | |
| 18 | 2014 | 21 | |
| 19 | 2017 | 21 | |
| 20 | 2014 | 19 |
About Lin Fu
Lin Fu is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Oncology and Immunology, having authored 34 papers that have together received 956 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers), Cancer-related molecular mechanisms research (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Microtubule and mitosis dynamics (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), NF-κB Signaling Pathways (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Geriatrics and Gerontology (126 citations), Cancer Research (274 citations), Molecular Biology (653 citations), Cell Biology (131 citations) and Oncology (211 citations). Lin Fu has collaborated with scholars based in China, United States and France. Frequent co-authors include Qingchang Li, Enhua Wang, Qianze Dong, Xueshan Qiu, Qianze Dong, Chengyao Xie, Zhongping Tang, Yue Zhao, Yang Wang and Xiaolong Wang. Their work appears in journals such as Tumor Biology, Oncotarget, OncoTargets and Therapy, Molecular Carcinogenesis and Gene.
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.