Siyuan Tang

198 total papers · 2.5k total citations
140 papers, 1.5k citations indexed

About

Siyuan Tang is a scholar working on Clinical Psychology, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Siyuan Tang has authored 140 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Clinical Psychology, 34 papers in General Health Professions and 33 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Siyuan Tang's work include Palliative Care and End-of-Life Issues (13 papers), Health Sciences Research and Education (12 papers) and Maternal Mental Health During Pregnancy and Postpartum (10 papers). Siyuan Tang is often cited by papers focused on Palliative Care and End-of-Life Issues (13 papers), Health Sciences Research and Education (12 papers) and Maternal Mental Health During Pregnancy and Postpartum (10 papers). Siyuan Tang collaborates with scholars based in China, United States and Australia. Siyuan Tang's co-authors include Mei Sun, Qirong Chen, Dan Zhang, Minhui Liu, Jiarui Chen, Yang Jiao, Yang Jiao, Chongmei Huang, Chunxiang Qin and Louisa Lam and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biological Conservation.

In The Last Decade

Siyuan Tang

128 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Siyuan Tang 499 348 298 179 164 140 1.5k
Anne Daubmann 505 1.0× 336 1.0× 181 0.6× 257 1.4× 241 1.5× 97 1.5k
Ha Nguyen 309 0.6× 509 1.5× 324 1.1× 111 0.6× 149 0.9× 81 1.7k
Farahnaz Mohammadi Shahboulaghi 570 1.1× 374 1.1× 204 0.7× 177 1.0× 185 1.1× 216 1.6k
Mahlagha Dehghan 579 1.2× 398 1.1× 193 0.6× 160 0.9× 136 0.8× 197 1.8k
Abdallah Y. Naser 682 1.4× 453 1.3× 180 0.6× 156 0.9× 84 0.5× 183 2.1k
Judith A. Tate 509 1.0× 350 1.0× 443 1.5× 93 0.5× 112 0.7× 82 2.0k
Sherina Mohd Sidik 667 1.3× 605 1.7× 383 1.3× 276 1.5× 133 0.8× 93 1.8k
Ian Kellar 272 0.5× 531 1.5× 329 1.1× 174 1.0× 139 0.8× 85 2.0k
Raúl Juárez‐Vela 598 1.2× 477 1.4× 231 0.8× 228 1.3× 160 1.0× 184 2.0k
Laetitia Teixeira 437 0.9× 507 1.5× 286 1.0× 158 0.9× 205 1.3× 114 1.9k

Countries citing papers authored by Siyuan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Siyuan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyuan Tang

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