Kai Fu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- Circular RNAs in diseases 13
- Cell death mechanisms and regulation 10
- RNA modifications and cancer 9
-
- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 10
- NF-κB Signaling Pathways 8
- Co-authors
- Weiwei Tang (8 shared papers)Hongyong Cao (8 shared papers)Dawei Rong (6 shared papers)Handong Sun (2 shared papers)Zhouxiao Li (2 shared papers)Shuheng Liu (1 shared paper)Fengyi Wan (14 shared papers)Eric M. Wier (9 shared papers)
- Journals
- Aging (5 papers)Nature Communications (3 papers)OncoTargets and Therapy (3 papers)Frontiers in Oncology (3 papers)Cancer Medicine (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kai Fu
114 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 129
- Cancer Research 827
- Molecular Biology 1.6k
- Biotechnology 125
- Oncology 309
- Immunology 218
Countries citing papers authored by Kai Fu
This map shows the geographic impact of Kai 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 Kai Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Fu more than expected).
Fields of papers citing papers by Kai Fu
This network shows the impact of papers produced by Kai 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 Kai Fu. The network helps show where Kai Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 400 | |
| 2 | 2011 | 162 | |
| 3 | 2017 | 133 | |
| 4 | 2021 | 97 | |
| 5 | 2011 | 70 | |
| 6 | 2017 | 67 | |
| 7 | 2010 | 67 | |
| 8 | 1999 | 62 | |
| 9 | 2015 | 57 | |
| 10 | 2014 | 57 | |
| 11 | 2020 | 54 | |
| 12 | 2015 | 54 | |
| 13 | 2014 | 54 | |
| 14 | 2019 | 54 | |
| 15 | 2024 | 51 | |
| 16 | 2016 | 49 | |
| 17 | 2019 | 43 | |
| 18 | 2018 | 43 | |
| 19 | 2016 | 42 | |
| 20 | 2021 | 40 |
About Kai Fu
Kai Fu is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Immunology, having authored 121 papers that have together received 2.8k indexed citations. Recurring topics across this work include Circular RNAs in diseases (13 papers), MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (10 papers), Cell death mechanisms and regulation (10 papers), RNA modifications and cancer (9 papers), interferon and immune responses (8 papers), NF-κB Signaling Pathways (8 papers) and Advanced battery technologies research (5 papers). The work is most often cited by research in Cancer Research (827 citations), Molecular Biology (1.6k citations), Biotechnology (125 citations), Oncology (309 citations) and Immunology (218 citations). Kai Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weiwei Tang, Hongyong Cao, Dawei Rong, Handong Sun, Zhouxiao Li, Shuheng Liu, Fengyi Wan, Eric M. Wier, Guanghui Wang and Haigang Ren. Their work appears in journals such as Aging, Nature Communications, OncoTargets and Therapy, Frontiers in Oncology and Cancer Medicine.
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.