Hai Fang

81 papers and 2.2k indexed citations i.

About

Hai Fang is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Hai Fang has authored 81 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 20 papers in Immunology and 13 papers in Hematology. Recurrent topics in Hai Fang’s work include Bioinformatics and Genomic Networks (19 papers), Biomedical Text Mining and Ontologies (10 papers) and Acute Myeloid Leukemia Research (10 papers). Hai Fang is often cited by papers focused on Bioinformatics and Genomic Networks (19 papers), Biomedical Text Mining and Ontologies (10 papers) and Acute Myeloid Leukemia Research (10 papers). Hai Fang collaborates with scholars based in China, United Kingdom and United States. Hai Fang's co-authors include Julian Gough, Julian C. Knight, Kankan Wang, Owen J. L. Rackham, Matt E. Oates, Bogdan Knezevic, Katie L. Burnham, David Anderson de Lima Morais, Qian Feng and Stacey A. Missmer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

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

Fields of papers citing papers by Hai Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hai Fang

Since Specialization
Citations

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