Hang Yuan

70 total papers · 1.1k total citations
36 papers, 606 citations indexed

About

Hang Yuan is a scholar working on Molecular Biology, Artificial Intelligence and Pharmacology. According to data from OpenAlex, Hang Yuan has authored 36 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Artificial Intelligence and 5 papers in Pharmacology. Recurrent topics in Hang Yuan's work include Sleep and related disorders (4 papers), Microbial Natural Products and Biosynthesis (4 papers) and Topic Modeling (3 papers). Hang Yuan is often cited by papers focused on Sleep and related disorders (4 papers), Microbial Natural Products and Biosynthesis (4 papers) and Topic Modeling (3 papers). Hang Yuan collaborates with scholars based in China, United Kingdom and United States. Hang Yuan's co-authors include Linda Lanting, Rama Natarajan, Shulian Li, Michael R. Waterman, David C. Lamb, Bin Zhao, Marpadga A. Reddy, Qiangjun Cai, Steven L. Kelly and Aiden Doherty and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

In The Last Decade

Hang Yuan

33 papers receiving 596 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hang Yuan 241 110 81 59 52 36 606
Xin Zou 251 1.0× 127 1.2× 75 0.9× 42 0.7× 38 0.7× 62 625
Yan Wan 283 1.2× 36 0.3× 87 1.1× 32 0.5× 66 1.3× 67 653
Boyang Wang 226 0.9× 50 0.5× 80 1.0× 69 1.2× 14 0.3× 44 650
Menglu Chen 190 0.8× 38 0.3× 53 0.7× 34 0.6× 32 0.6× 29 636
Yingying Duan 234 1.0× 35 0.3× 54 0.7× 31 0.5× 26 0.5× 52 579
Fan Yin 149 0.6× 61 0.6× 26 0.3× 43 0.7× 21 0.4× 49 517
Peiliang Wu 169 0.7× 62 0.6× 22 0.3× 154 2.6× 31 0.6× 35 677
Ming Ruan 162 0.7× 56 0.5× 72 0.9× 14 0.2× 22 0.4× 43 521
Peng Yin 179 0.7× 24 0.2× 38 0.5× 50 0.8× 44 0.8× 57 615
Yani Zhang 171 0.7× 66 0.6× 26 0.3× 20 0.3× 13 0.3× 34 575

Countries citing papers authored by Hang Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Hang Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Yuan. A scholar is included among the top collaborators of Hang Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hang Yuan. Hang Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026