Fang Zhou

2.7k citations
60 papers · 1.8k indexed · h-index 21
Topics
Extracellular vesicles in disease (11 papers)Hematopoietic Stem Cell Transplantation (9 papers)Genetic and Kidney Cyst Diseases (9 papers)

In The Last Decade

Fang Zhou

52 papers receiving 1.8k citations

Peers

Fang Zhou
Comparison fields: 5 of 129
  • Molecular Biology 948
  • Genetics 575
  • Cancer Research 306
  • Pathology and Forensic Medicine 236
  • Hematology 178
Replace Marie‐Claude Hofmann with:
Marie‐Claude Hofmann United States
Weiping Qian China
José Ramón Bilbao Spain
Kimimitsu Oda Japan
Xue Li China
Satoru K. Nishimoto United States
Masahiro Asada Japan
Dawidson Assis Gomes Brazil
Göran Andersson Sweden
Jelena Krstić Serbia
Fang Zhou relative to Marie‐Claude Hofmann United States Marie‐Claude Hofmann's profile →
Citations per field
00.5×4.9×
Marie‐Claude Hofmann · 1×
Citations per year

Countries citing papers authored by Fang Zhou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Fang Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Zhou. A scholar is included among the top collaborators of Fang Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang Zhou. Fang Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 1
4 1
5 0
6 9
7 38
8 1
9 78
10 16
11 35
12 203
13 127
14 145
15 7
16
Effect of Aqueous Extract from Melastoma dodecandrum on Blood Glucose in Experimental Hyperglycemic Mice
1
17 79
18 24
19
LD_(50) Determination of Nerium indicum Mill,Scurru-la parasitica Lim and Taxillus chinensis(DC) Danser in Mice
1
20
Studies on Anti-hyperglycemic Effect of Ethanolic Extracts from Gymnema sylvestre(Retz.)Schult
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) and Genetic and Kidney Cyst Diseases (9 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.

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