Shuo Tu

31 total papers · 594 total citations
23 papers, 429 citations indexed

About

Shuo Tu is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Shuo Tu has authored 23 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Cell Biology and 4 papers in Oncology. Recurrent topics in Shuo Tu's work include Cancer-related gene regulation (5 papers), TGF-β signaling in diseases (4 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). Shuo Tu is often cited by papers focused on Cancer-related gene regulation (5 papers), TGF-β signaling in diseases (4 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). Shuo Tu collaborates with scholars based in China, United States and Taiwan. Shuo Tu's co-authors include Fusheng Wan, Xiaohua Yan, Chunhong Huang, Xiali Zhang, Yibing Wang, Xiangyang Xiong, Wei Huang, Zhijun Luo, Xiaohong Yang and Shiwen Luo and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Frontiers in Immunology.

In The Last Decade

Shuo Tu

21 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
Shuo Tu 232 120 119 61 40 23 429
Aditi Sharma 262 1.1× 28 0.2× 110 0.9× 170 2.8× 81 2.0× 14 466
Yaqiu Zheng 222 1.0× 32 0.3× 99 0.8× 74 1.2× 41 1.0× 21 421
Lina Ma 249 1.1× 28 0.2× 103 0.9× 53 0.9× 29 0.7× 22 412
Yingchun He 296 1.3× 89 0.7× 149 1.3× 76 1.2× 41 1.0× 35 489
Kazuki Moro 297 1.3× 86 0.7× 97 0.8× 60 1.0× 55 1.4× 27 478
D Szafarz 219 0.9× 73 0.6× 102 0.9× 56 0.9× 21 0.5× 20 448
Xinguo Zhu 329 1.4× 83 0.7× 166 1.4× 91 1.5× 35 0.9× 17 488
Kun Zhang 209 0.9× 18 0.1× 64 0.5× 78 1.3× 29 0.7× 23 435
Mariusz Malinowski 271 1.2× 67 0.6× 64 0.5× 49 0.8× 26 0.7× 19 413
Haydar Çelik 230 1.0× 38 0.3× 49 0.4× 79 1.3× 56 1.4× 27 445

Countries citing papers authored by Shuo Tu

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Tu

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