Haian Fu
Impact in
- Molecular Biology top 0.2%
- 14-3-3 protein interactions
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
- Cell death mechanisms and regulation
- Protein Kinase Regulation and GTPase Signaling
- Cell Biology top 0.5%
Papers in
-
- 14-3-3 protein interactions 65
- Ubiquitin and proteasome pathways 53
- PI3K/AKT/mTOR signaling in cancer 17
- Protein Kinase Regulation and GTPase Signaling 14
- Heat shock proteins research 13
- Cell Biology 28
- Co-authors
- Shane C. MastersSandeep Robert DattaYukiko GotohXu TaoMichael E. GreenbergHenryk DudekRomesh R. SubramanianFadlo R. Khuri
- Journals
- Journal of Biological Chemistry (19 papers)Proceedings of the National Academy of Sciences (8 papers)Nature Communications (6 papers)Journal of Molecular Cell Biology (6 papers)Cancer Research (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Haian Fu
212 papers receiving 17.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 13.5k
- Cell Biology 1.7k
- Cancer Research 1.5k
- Oncology 2.6k
- Immunology 1.7k
Countries citing papers authored by Haian Fu
This map shows the geographic impact of Haian 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 Haian Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haian Fu more than expected).
Fields of papers citing papers by Haian Fu
This network shows the impact of papers produced by Haian 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 Haian Fu. The network helps show where Haian Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haian 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 8 | |
| 5 | 2020 | 82 | |
| 6 | 2020 | 1 | |
| 7 | 2018 | 20 | |
| 8 | 2018 | 15 | |
| 9 | 2017 | 5 | |
| 10 | 2015 | 27 | |
| 11 | 2014 | 33 | |
| 12 | 2013 | 22 | |
| 13 | 2012 | 70 | |
| 14 | 2009 | 13 | |
| 15 | 2009 | 31 | |
| 16 | 2008 | 135 | |
| 17 | 2008 | 16 | |
| 18 | 2007 | 128 | |
| 19 | Photic regulation of arylalkylamine N-acetyltransferase binding to 14-3-3 proteins in retinal photoreceptor cells | 2006 | 2 |
| 20 | 2004 | 58 |
About Haian Fu
Haian Fu is a scholar working on Molecular Biology, Cell Biology, Molecular Medicine, Cancer Research and Pharmacology, having authored 221 papers that have together received 17.4k indexed citations. Recurring topics across this work include 14-3-3 protein interactions (65 papers), Ubiquitin and proteasome pathways (53 papers), Microbial Natural Products and Biosynthesis (18 papers), PI3K/AKT/mTOR signaling in cancer (17 papers), Computational Drug Discovery Methods (17 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Cancer-related Molecular Pathways (13 papers) and Heat shock proteins research (13 papers). The work is most often cited by research in Molecular Biology (13.5k citations), Cell Biology (1.7k citations), Cancer Research (1.5k citations), Oncology (2.6k citations) and Immunology (1.7k citations). Haian Fu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Shane C. Masters, Sandeep Robert Datta, Yukiko Gotoh, Xu Tao, Michael E. Greenberg, Henryk Dudek, Romesh R. Subramanian, Fadlo R. Khuri, Lixin Zhang and Yuhong Du. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Nature Communications, Journal of Molecular Cell Biology and Cancer 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.