Guo‐Hui Fu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- RNA modifications and cancer
- Circular RNAs in diseases
- Ubiquitin and proteasome pathways
- Ion Transport and Channel Regulation
- Epigenetics and DNA Methylation
Papers in
-
- RNA modifications and cancer 7
- Epigenetics and DNA Methylation 3
- Oncology 15
- Cancer-related Molecular Pathways 4
- Peptidase Inhibition and Analysis 3
- Co-authors
- Zhi Zeng (7 shared papers)Hua Tian (8 shared papers)Weiwei Shen (4 shared papers)Jinglong Wang (9 shared papers)Wenxia Zhu (1 shared paper)Jun Wu (8 shared papers)Ya Cao (1 shared paper)Xi‐Dai Long (4 shared papers)
- Journals
- BMC Cancer (3 papers)Acta Biochimica et Biophysica Sinica (3 papers)Oncogene (2 papers)Journal of Orthopaedic Translation (2 papers)Journal of Molecular Medicine (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Guo‐Hui Fu
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Cancer Research 376
- Molecular Biology 701
- Oncology 234
- Immunology 96
- Pathology and Forensic Medicine 74
Countries citing papers authored by Guo‐Hui Fu
This map shows the geographic impact of Guo‐Hui 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 Guo‐Hui Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo‐Hui Fu more than expected).
Fields of papers citing papers by Guo‐Hui Fu
This network shows the impact of papers produced by Guo‐Hui 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 Guo‐Hui Fu. The network helps show where Guo‐Hui Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guo‐Hui 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 117 | |
| 2 | 2009 | 75 | |
| 3 | 2020 | 74 | |
| 4 | 2020 | 69 | |
| 5 | 2018 | 66 | |
| 6 | 2009 | 58 | |
| 7 | 2013 | 57 | |
| 8 | 2010 | 54 | |
| 9 | 2016 | 52 | |
| 10 | 2018 | 46 | |
| 11 | 2007 | 41 | |
| 12 | 2020 | 38 | |
| 13 | 2010 | 35 | |
| 14 | 2010 | 32 | |
| 15 | 2014 | 31 | |
| 16 | 2020 | 30 | |
| 17 | 2012 | 30 | |
| 18 | 2009 | 26 | |
| 19 | 2010 | 24 | |
| 20 | 2011 | 23 |
About Guo‐Hui Fu
Guo‐Hui Fu is a scholar working on Molecular Biology, Oncology, Surgery, Cancer Research and Immunology, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (7 papers), RNA modifications and cancer (7 papers), Cancer-related Molecular Pathways (4 papers), MicroRNA in disease regulation (4 papers), Epigenetics and DNA Methylation (3 papers), Peptidase Inhibition and Analysis (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (376 citations), Molecular Biology (701 citations), Oncology (234 citations), Immunology (96 citations) and Pathology and Forensic Medicine (74 citations). Guo‐Hui Fu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Zhi Zeng, Hua Tian, Weiwei Shen, Jinglong Wang, Wenxia Zhu, Jun Wu, Ya Cao, Xi‐Dai Long, Yifan Su and Ting Sun. Their work appears in journals such as BMC Cancer, Acta Biochimica et Biophysica Sinica, Oncogene, Journal of Orthopaedic Translation and Journal of Molecular 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.