Meiyun Fang

32 papers and 460 indexed citations i.

About

Meiyun Fang is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Meiyun Fang has authored 32 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Hematology and 6 papers in Oncology. Recurrent topics in Meiyun Fang’s work include Acute Myeloid Leukemia Research (7 papers), Telomeres, Telomerase, and Senescence (4 papers) and Platelet Disorders and Treatments (4 papers). Meiyun Fang is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Telomeres, Telomerase, and Senescence (4 papers) and Platelet Disorders and Treatments (4 papers). Meiyun Fang collaborates with scholars based in China, United States and Poland. Meiyun Fang's co-authors include Liangliang Ma, Ye Tian, Guanyu Gong, Dan Song, Hong‐Hu Zhu, Kailin Xu, Jingwen Wang, Depei Wu, Xiao‐Jun Huang and Xiaoyan Yan and has published in prestigious journals such as Blood, The Lancet Oncology and Journal of Cellular Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Meiyun Fang i

Fields of papers citing papers by Meiyun Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meiyun Fang. 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 Meiyun Fang. The network helps show where Meiyun Fang may publish in the future.

Countries citing papers authored by Meiyun Fang

Since Specialization
Citations

This map shows the geographic impact of Meiyun Fang'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 Meiyun Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiyun Fang more than expected).

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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2025