Fanli Hua

29 papers and 426 indexed citations i.

About

Fanli Hua is a scholar working on Hematology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Fanli Hua has authored 29 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hematology, 10 papers in Immunology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Fanli Hua’s work include Platelet Disorders and Treatments (23 papers), Blood groups and transfusion (9 papers) and Autoimmune Bullous Skin Diseases (7 papers). Fanli Hua is often cited by papers focused on Platelet Disorders and Treatments (23 papers), Blood groups and transfusion (9 papers) and Autoimmune Bullous Skin Diseases (7 papers). Fanli Hua collaborates with scholars based in China and United States. Fanli Hua's co-authors include Yanxia Zhan, Yunfeng Cheng, Lili Ji, Feng Li, Zhihui Min, Hao Chen, Shanhua Zou, Dongli Song, Weiguang Wang and Ke Yang and has published in prestigious journals such as Blood, PLoS ONE and Oncogene.

In The Last Decade

Co-authorship network of co-authors of Fanli Hua i

Fields of papers citing papers by Fanli Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fanli Hua

Since Specialization
Citations

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