Hua Tu

81 papers and 11.5k indexed citations i.

About

Hua Tu is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Hua Tu has authored 81 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 21 papers in Surgery and 17 papers in Epidemiology. Recurrent topics in Hua Tu’s work include Endometrial and Cervical Cancer Treatments (15 papers), Ovarian cancer diagnosis and treatment (11 papers) and Cervical Cancer and HPV Research (9 papers). Hua Tu is often cited by papers focused on Endometrial and Cervical Cancer Treatments (15 papers), Ovarian cancer diagnosis and treatment (11 papers) and Cervical Cancer and HPV Research (9 papers). Hua Tu collaborates with scholars based in China, United States and Saudi Arabia. Hua Tu's co-authors include Bei Shan, Jun Wu, Jang Hyun Choi, Li Ye, Pontus Boström, Bruce M. Spiegelman, David J. Mangelsdorf, Joyce J. Repa, Kevin D. Lustig and R. Marc Learned and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

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

Fields of papers citing papers by Hua Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hua Tu

Since Specialization
Citations

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