Suzhen Guan

65 total papers · 890 total citations
43 papers, 627 citations indexed

About

Suzhen Guan is a scholar working on Social Psychology, Behavioral Neuroscience and Molecular Biology. According to data from OpenAlex, Suzhen Guan has authored 43 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Social Psychology, 8 papers in Behavioral Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Suzhen Guan's work include Stress Responses and Cortisol (8 papers), Employment and Welfare Studies (5 papers) and Workplace Health and Well-being (5 papers). Suzhen Guan is often cited by papers focused on Stress Responses and Cortisol (8 papers), Employment and Welfare Studies (5 papers) and Workplace Health and Well-being (5 papers). Suzhen Guan collaborates with scholars based in China, Hong Kong and Poland. Suzhen Guan's co-authors include Yulong Lian, Tzi Bun Ng, Jiwen Liu, Hua Ge, Jing Xiao, Fuye Li, Yu Jiang, Ning Li, Jack Ho Wong and Feng Zhao and has published in prestigious journals such as PLoS ONE, Diabetes Care and International Journal of Molecular Sciences.

In The Last Decade

Suzhen Guan

38 papers receiving 611 citations

Author Peers

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

Author Last Decade Papers Cites
Suzhen Guan 124 112 94 94 81 43 627
Jiamei Li 46 0.4× 114 1.0× 94 1.0× 88 0.9× 61 0.8× 60 787
Hisayoshi Okamura 67 0.5× 77 0.7× 34 0.4× 96 1.0× 47 0.6× 36 616
Xiaoming Xu 94 0.8× 204 1.8× 70 0.7× 185 2.0× 23 0.3× 32 708
Srđan Milovanović 48 0.4× 87 0.8× 37 0.4× 139 1.5× 62 0.8× 74 659
Mónica Flores‐Ramos 49 0.4× 46 0.4× 61 0.6× 104 1.1× 95 1.2× 45 619
Yuejiao Ma 123 1.0× 69 0.6× 67 0.7× 215 2.3× 85 1.0× 46 657
Yazmín Hernández‐Díaz 23 0.2× 95 0.8× 59 0.6× 181 1.9× 51 0.6× 60 671
Hyun‐Ja Lim 40 0.3× 61 0.5× 62 0.7× 93 1.0× 65 0.8× 31 753
Roberto Vivoli 66 0.5× 45 0.4× 104 1.1× 37 0.4× 45 0.6× 25 598
Mohammad Effatpanah 63 0.5× 68 0.6× 47 0.5× 124 1.3× 45 0.6× 74 748

Countries citing papers authored by Suzhen Guan

Since Specialization
Citations

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

Fields of papers citing papers by Suzhen Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzhen Guan

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