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 Research and Splicing 6
- Ubiquitin and proteasome pathways 3
- Molecular Biology Techniques and Applications 3
- Cell Biology 10
- Endoplasmic Reticulum Stress and Disease 4
- Microtubule and mitosis dynamics 4
- Hippo pathway signaling and YAP/TAZ 4
- Co-authors
- Qingchang Li (19 shared papers)Enhua Wang (11 shared papers)Xueshan Qiu (5 shared papers)Qianze Dong (8 shared papers)Qianze Dong (6 shared papers)Zhongping Tang (2 shared papers)Yue Zhao (4 shared papers)Yang Wang (1 shared paper)
- Journals
- Tumor Biology (7 papers)Oncotarget (4 papers)OncoTargets and Therapy (3 papers)Molecular Carcinogenesis (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Lin Fu
33 papers receiving 960 citations
Peers
Comparison fields: 5 of 75
- Geriatrics and Gerontology 127
- Cancer Research 221
- Molecular Biology 553
- Oncology 176
- Cell Biology 113
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 | 108 | |
| 2 | 2016 | 106 | |
| 3 | 2012 | 95 | |
| 4 | 2019 | 90 | |
| 5 | 2017 | 47 | |
| 6 | 2014 | 40 | |
| 7 | 2017 | 37 | |
| 8 | 2020 | 34 | |
| 9 | 2017 | 34 | |
| 10 | 2013 | 32 | |
| 11 | 2019 | 31 | |
| 12 | 2019 | 31 | |
| 13 | 2020 | 27 | |
| 14 | 2014 | 26 | |
| 15 | 2017 | 26 | |
| 16 | 2015 | 22 | |
| 17 | 2017 | 22 | |
| 18 | 2014 | 22 | |
| 19 | 2014 | 21 | |
| 20 | 2014 | 19 |
About Lin Fu
Lin Fu is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Oncology and Immunology, having authored 34 papers that have together received 967 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Microtubule and mitosis dynamics (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Ubiquitin and proteasome pathways (3 papers), Molecular Biology Techniques and Applications (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Geriatrics and Gerontology (127 citations), Cancer Research (221 citations), Molecular Biology (553 citations), Oncology (176 citations) and Cell Biology (113 citations). Lin Fu has collaborated with scholars based in China, United States and France. Frequent co-authors include Qingchang Li, Enhua Wang, Xueshan Qiu, Qianze Dong, Qianze Dong, Zhongping Tang, Yue Zhao, Yang Wang, Xiaolong Wang and Qian Dong. Their work appears in journals such as Tumor Biology, Oncotarget, OncoTargets and Therapy, Molecular Carcinogenesis and Biochemical and Biophysical Research Communications.
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.