Shuangyi Tang

47 total papers · 655 total citations
38 papers, 429 citations indexed

About

Shuangyi Tang is a scholar working on Oncology, Cancer Research and Physiology. According to data from OpenAlex, Shuangyi Tang has authored 38 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 14 papers in Cancer Research and 9 papers in Physiology. Recurrent topics in Shuangyi Tang's work include Inflammatory Biomarkers in Disease Prognosis (17 papers), Cancer, Lipids, and Metabolism (13 papers) and Colorectal Cancer Surgical Treatments (10 papers). Shuangyi Tang is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (17 papers), Cancer, Lipids, and Metabolism (13 papers) and Colorectal Cancer Surgical Treatments (10 papers). Shuangyi Tang collaborates with scholars based in China and United States. Shuangyi Tang's co-authors include Jialiang Gan, Hailun Xie, Lishuang Wei, Mingxiang Liu, Feng Gao, Ling Yan, Yizhen Gong, Guo‐Tian Ruan, Qiwen Wang and Hesheng Ou and has published in prestigious journals such as Scientific Reports, BioMed Research International and Frontiers in Pharmacology.

In The Last Decade

Shuangyi Tang

33 papers receiving 423 citations

Author Peers

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

Author Last Decade Papers Cites
Shuangyi Tang 237 160 86 82 73 38 429
Lishuang Wei 214 0.9× 162 1.0× 80 0.9× 70 0.9× 62 0.8× 44 436
Zümrüt Bahat 80 0.3× 124 0.8× 83 1.0× 98 1.2× 75 1.0× 31 458
Takashi Kuise 169 0.7× 148 0.9× 55 0.6× 188 2.3× 26 0.4× 35 372
Takeo Endo 215 0.9× 112 0.7× 68 0.8× 36 0.4× 26 0.4× 24 405
Maciej Bobowicz 76 0.3× 111 0.7× 28 0.3× 281 3.4× 53 0.7× 46 461
Song Mi Lee 77 0.3× 314 2.0× 41 0.5× 81 1.0× 32 0.4× 34 471
Özge Telci Çaklılı 52 0.2× 105 0.7× 39 0.5× 65 0.8× 71 1.0× 36 405
Jinyu Shi 99 0.4× 112 0.7× 18 0.2× 33 0.4× 55 0.8× 41 425
Enrico Pinotti 57 0.2× 83 0.5× 55 0.6× 195 2.4× 76 1.0× 28 484
Yangyang Hui 46 0.2× 185 1.2× 46 0.5× 61 0.7× 42 0.6× 45 474

Countries citing papers authored by Shuangyi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shuangyi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuangyi Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuangyi Tang. A scholar is included among the top collaborators of Shuangyi 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 Shuangyi Tang. Shuangyi Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026