Guang Shan

35 total papers · 936 total citations
25 papers, 771 citations indexed

About

Guang Shan is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Guang Shan has authored 25 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Guang Shan's work include Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). Guang Shan is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). Guang Shan collaborates with scholars based in China and United States. Guang Shan's co-authors include Tian Tang, Jing Yang, Tian Tang, Yue Xia, Juan Gu, Wei Cheng, Yueping Wang, Xuedong Wang, Daoping Zhou and Qisheng Yao and has published in prestigious journals such as Free Radical Biology and Medicine, European Journal of Pharmacology and Journal of Cellular Physiology.

In The Last Decade

Guang Shan

25 papers receiving 755 citations

Author Peers

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

Author Last Decade Papers Cites
Guang Shan 393 245 82 74 69 25 771
Xiaoye Fan 423 1.1× 98 0.4× 172 2.1× 39 0.5× 69 1.0× 31 899
Song Ling Poon 278 0.7× 183 0.7× 50 0.6× 51 0.7× 17 0.2× 18 821
Kyeong-Ah Jung 554 1.4× 135 0.6× 54 0.7× 49 0.7× 27 0.4× 14 823
Abdel‐Aziz H. Abdel‐Aziz 256 0.7× 84 0.3× 77 0.9× 24 0.3× 43 0.6× 23 706
Yanyan Zhu 386 1.0× 60 0.2× 67 0.8× 80 1.1× 69 1.0× 41 842
Simiao Qiao 433 1.1× 100 0.4× 68 0.8× 34 0.5× 29 0.4× 31 851
Wanli Xue 286 0.7× 103 0.4× 42 0.5× 55 0.7× 58 0.8× 19 838
David S. Newcombe 287 0.7× 79 0.3× 56 0.7× 64 0.9× 64 0.9× 41 878
Alice Limonciel 411 1.0× 117 0.5× 38 0.5× 102 1.4× 108 1.6× 19 727
Shakir Saleem 358 0.9× 212 0.9× 46 0.6× 85 1.1× 15 0.2× 34 716

Countries citing papers authored by Guang Shan

Since Specialization
Citations

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

Fields of papers citing papers by Guang Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Shan

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