Sujun Hua

15 papers and 3.8k indexed citations i.

About

Sujun Hua is a scholar working on Molecular Biology, Plant Science and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sujun Hua has authored 15 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 2 papers in Plant Science and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sujun Hua’s work include Genomics and Chromatin Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers) and Machine Learning in Bioinformatics (3 papers). Sujun Hua is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers) and Machine Learning in Bioinformatics (3 papers). Sujun Hua collaborates with scholars based in United States, China and Italy. Sujun Hua's co-authors include Zhirong Sun, Ronald A. DePinho, Ralf Kittler, K White, Alec C. Kimmelman, John M. Asara, Costas A. Lyssiotis, Xiaoxu Wang, Edouard Mullarky and Matteo Ligorio and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

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

Fields of papers citing papers by Sujun Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sujun Hua

Since Specialization
Citations

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