Yun Guan

23 total papers · 1.5k total citations
16 papers, 1.3k citations indexed

About

Yun Guan is a scholar working on Biomaterials, Molecular Medicine and Organic Chemistry. According to data from OpenAlex, Yun Guan has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomaterials, 4 papers in Molecular Medicine and 3 papers in Organic Chemistry. Recurrent topics in Yun Guan's work include Nanocomposite Films for Food Packaging (5 papers), Hydrogels: synthesis, properties, applications (4 papers) and Real-time simulation and control systems (2 papers). Yun Guan is often cited by papers focused on Nanocomposite Films for Food Packaging (5 papers), Hydrogels: synthesis, properties, applications (4 papers) and Real-time simulation and control systems (2 papers). Yun Guan collaborates with scholars based in China and United States. Yun Guan's co-authors include Yao Kang, Xiaofei Liu, Zhi Li, Lei Shao, Yao Kang, Jing Liu, Qingji Xie, Chao Chen, Eric C. Drumm and N. Mike Jackson and has published in prestigious journals such as Polymer, IEEE Access and Journal of Applied Polymer Science.

In The Last Decade

Yun Guan

15 papers receiving 1.2k citations

Hit Papers

Antibacterial action of c... 2000 2026 2008 2017 2000 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Yun Guan 826 271 189 147 146 16 1.3k
Hyun-Jin Park 800 1.0× 281 1.0× 219 1.2× 142 1.0× 140 1.0× 5 1.3k
Sohk-Won Ko 585 0.7× 226 0.8× 233 1.2× 79 0.5× 231 1.6× 19 1.1k
Priyanka Sahariah 844 1.0× 466 1.7× 274 1.4× 136 0.9× 96 0.7× 20 1.5k
Ruth Harris 773 0.9× 172 0.6× 193 1.0× 196 1.3× 92 0.6× 14 1.4k
Barry R. Drew 493 0.6× 174 0.6× 335 1.8× 130 0.9× 179 1.2× 12 1.3k
B. Elorza 734 0.9× 229 0.8× 294 1.6× 172 1.2× 99 0.7× 17 1.6k
A. F. Chandler-Temple 586 0.7× 166 0.6× 382 2.0× 130 0.9× 183 1.3× 8 1.3k
Mohammed Rhazi 870 1.1× 219 0.8× 221 1.2× 171 1.2× 72 0.5× 35 1.8k
Imelda Keen 625 0.8× 274 1.0× 435 2.3× 135 0.9× 203 1.4× 26 1.6k
Sang‐Hoon Lim 712 0.9× 378 1.4× 232 1.2× 81 0.6× 58 0.4× 14 1.5k

Countries citing papers authored by Yun Guan

Since Specialization
Citations

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

Fields of papers citing papers by Yun Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Guan. A scholar is included among the top collaborators of Yun Guan 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 Yun Guan. Yun Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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