Hua Fan-Minogue

About

Hua Fan-Minogue is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Hua Fan-Minogue has authored 13 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Artificial Intelligence. Recurrent topics in Hua Fan-Minogue’s work include RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers) and Bioinformatics and Genomic Networks (2 papers). Hua Fan-Minogue is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers) and Bioinformatics and Genomic Networks (2 papers). Hua Fan-Minogue collaborates with scholars based in United States, United Kingdom and Russia. Hua Fan-Minogue's co-authors include David M. Bedwell, Sanjiv S. Gambhir, Dean W. Felsher, Zhongwei Cao, Qiwei Yang, Aleksey Yevtodiyenko, David I. Bellovin, Bin Chen, Dexter Hadley and Philip J. Farabaugh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Molecular and Cellular Biology.

In The Last Decade

Co-authorship network of co-authors of Hua Fan-Minogue i

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Fields of papers citing papers by Hua Fan-Minogue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hua Fan-Minogue

Since Specialization

Citations

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