Shu Ping Tan

18 total papers · 639 total citations
17 papers, 475 citations indexed

About

Shu Ping Tan is a scholar working on Psychiatry and Mental health, Biological Psychiatry and Cognitive Neuroscience. According to data from OpenAlex, Shu Ping Tan has authored 17 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Psychiatry and Mental health, 8 papers in Biological Psychiatry and 6 papers in Cognitive Neuroscience. Recurrent topics in Shu Ping Tan's work include Tryptophan and brain disorders (8 papers), Schizophrenia research and treatment (7 papers) and Stress Responses and Cortisol (5 papers). Shu Ping Tan is often cited by papers focused on Tryptophan and brain disorders (8 papers), Schizophrenia research and treatment (7 papers) and Stress Responses and Cortisol (5 papers). Shu Ping Tan collaborates with scholars based in China, United States and Australia. Shu Ping Tan's co-authors include Mei Hong Xiu, Yun Tan, Da Chun Chen, Fu De Yang, Xiang Yang Zhang, Xiangyang Zhang, Jair C. Soares, Jing Wu, Li Tian and Philip D. Harvey and has published in prestigious journals such as Schizophrenia Bulletin, Psychopharmacology and Psychoneuroendocrinology.

In The Last Decade

Shu Ping Tan

17 papers receiving 470 citations

Author Peers

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

Author Last Decade Papers Cites
Shu Ping Tan 207 190 131 129 116 17 475
Liliana Laskaris 237 1.1× 90 0.5× 128 1.0× 162 1.3× 90 0.8× 12 515
Helga Polyák 179 0.9× 129 0.7× 75 0.6× 48 0.4× 103 0.9× 9 462
Gabriela Meyer-Lotz 207 1.0× 131 0.7× 64 0.5× 77 0.6× 92 0.8× 25 442
Chiyo Shibasaki 113 0.5× 146 0.8× 96 0.7× 63 0.5× 49 0.4× 19 421
Bianka Leitner 202 1.0× 118 0.6× 49 0.4× 117 0.9× 73 0.6× 11 449
Z Li 327 1.6× 66 0.3× 82 0.6× 94 0.7× 246 2.1× 12 539
Arthur de Almeida Berberian 114 0.6× 177 0.9× 91 0.7× 60 0.5× 53 0.5× 23 497
Christa Hercher 237 1.1× 79 0.4× 98 0.7× 171 1.3× 116 1.0× 10 539
Olivia Lutz 156 0.8× 186 1.0× 123 0.9× 67 0.5× 47 0.4× 25 492
Eleonóra Spekker 108 0.5× 253 1.3× 65 0.5× 62 0.5× 55 0.5× 19 541

Countries citing papers authored by Shu Ping Tan

Since Specialization
Citations

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

Fields of papers citing papers by Shu Ping Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu Ping Tan. 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 Shu Ping Tan. The network helps show where Shu Ping Tan may publish in the future.

Co-authorship network of co-authors of Shu Ping Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Ping Tan. A scholar is included among the top collaborators of Shu Ping Tan 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 Shu Ping Tan. Shu Ping Tan 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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2026