Guanglong Yuan

16 total papers · 1.1k total citations
15 papers, 957 citations indexed

About

Guanglong Yuan is a scholar working on Biomedical Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Guanglong Yuan has authored 15 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 9 papers in Materials Chemistry and 3 papers in Molecular Biology. Recurrent topics in Guanglong Yuan's work include Nanoplatforms for cancer theranostics (11 papers), Advanced Nanomaterials in Catalysis (8 papers) and Extracellular vesicles in disease (3 papers). Guanglong Yuan is often cited by papers focused on Nanoplatforms for cancer theranostics (11 papers), Advanced Nanomaterials in Catalysis (8 papers) and Extracellular vesicles in disease (3 papers). Guanglong Yuan collaborates with scholars based in China. Guanglong Yuan's co-authors include Jie Liu, Youcong Gong, Xufeng Zhu, Xu Chen, Xiu‐Ying Qin, Lanmei Chen, Yanan Liu, Ange Lin, Xian Guo and Hui Zhou and has published in prestigious journals such as Biomaterials, ACS Applied Materials & Interfaces and Journal of Colloid and Interface Science.

In The Last Decade

Guanglong Yuan

15 papers receiving 950 citations

Author Peers

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

Author Last Decade Papers Cites
Guanglong Yuan 569 422 238 173 98 15 957
Paresh P. Kulkarni 329 0.6× 295 0.7× 162 0.7× 106 0.6× 79 0.8× 28 864
Chuanyao Yang 411 0.7× 286 0.7× 277 1.2× 329 1.9× 63 0.6× 18 866
Enoch Obeng 300 0.5× 246 0.6× 279 1.2× 109 0.6× 61 0.6× 25 897
Yuan Tian 349 0.6× 328 0.8× 249 1.0× 255 1.5× 84 0.9× 20 888
Changsun Kang 388 0.7× 183 0.4× 292 1.2× 234 1.4× 57 0.6× 27 933
Huijie An 417 0.7× 291 0.7× 296 1.2× 176 1.0× 154 1.6× 17 1.0k
Xiaotong Yang 385 0.7× 261 0.6× 441 1.9× 292 1.7× 116 1.2× 31 1.1k
Ivonne Olmedo 254 0.4× 409 1.0× 395 1.7× 316 1.8× 49 0.5× 27 1.2k
Guanning Huang 428 0.8× 397 0.9× 226 0.9× 134 0.8× 94 1.0× 23 964
Bin Sheng Wong 413 0.7× 282 0.7× 304 1.3× 218 1.3× 58 0.6× 13 939

Countries citing papers authored by Guanglong Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Guanglong Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglong Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Guanglong Yuan. A scholar is included among the top collaborators of Guanglong 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 Guanglong Yuan. Guanglong Yuan 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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