Fang Zhou
- Genetics top 5%
- Genetic and Kidney Cyst Diseases 9
- Mesenchymal stem cell research 4
- Genetic Syndromes and Imprinting 3
- Cancer Research top 10%
- MicroRNA in disease regulation 7
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 9
- Molecular Biology top 10%
- Extracellular vesicles in disease 11
- Renal and related cancers 6
- RNA Interference and Gene Delivery 4
- Co-authors
- Gregory G. GerminoJanos ZempleniEzra MutaiLuís F. MenezesSonal SukreetDi WuTerry WatnickMahrou Sadri
- Cited by
- GeneticsCancer ResearchHematology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Blood (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Fang Zhou
52 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 129
- Genetics 575
- Cancer Research 306
- Hematology 178
- Molecular Biology 948
- Pathology and Forensic Medicine 236
Countries citing papers authored by Fang Zhou
This map shows the geographic impact of Fang Zhou'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 Fang Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Zhou more than expected).
Fields of papers citing papers by Fang Zhou
This network shows the impact of papers produced by Fang Zhou. 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 Fang Zhou. The network helps show where Fang Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fang Zhou, 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 | 2025 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 38 | |
| 8 | 2021 | 1 | |
| 9 | 2018 | 78 | |
| 10 | 2018 | 16 | |
| 11 | 2017 | 35 | |
| 12 | 2016 | 203 | |
| 13 | 2016 | 127 | |
| 14 | 2015 | 145 | |
| 15 | 2012 | 7 | |
| 16 | Effect of Aqueous Extract from Melastoma dodecandrum on Blood Glucose in Experimental Hyperglycemic Mice | 2011 | 1 |
| 17 | 2010 | 79 | |
| 18 | 2009 | 24 | |
| 19 | LD_(50) Determination of Nerium indicum Mill,Scurru-la parasitica Lim and Taxillus chinensis(DC) Danser in Mice | 2008 | 1 |
| 20 | Studies on Anti-hyperglycemic Effect of Ethanolic Extracts from Gymnema sylvestre(Retz.)Schult | 2007 | 2 |
About Fang Zhou
Fang Zhou is a scholar working on Hematology, Biological Psychiatry and Cancer Research, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (11 papers), Hematopoietic Stem Cell Transplantation (9 papers), Genetic and Kidney Cyst Diseases (9 papers), MicroRNA in disease regulation (7 papers), Renal and related cancers (6 papers), RNA Interference and Gene Delivery (4 papers), Mesenchymal stem cell research (4 papers) and Genetic Syndromes and Imprinting (3 papers). The work is most often cited by research in Genetics (575 citations), Cancer Research (306 citations) and Hematology (178 citations). Fang Zhou has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Gregory G. Germino, Janos Zempleni, Ezra Mutai, Luís F. Menezes, Sonal Sukreet, Di Wu, Terry Watnick, Mahrou Sadri, Feng Qian and Hangxue Xu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.
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.