Shenghao Tu

84 total papers · 2.8k total citations
70 papers, 1.7k citations indexed

About

Shenghao Tu is a scholar working on Rheumatology, Molecular Biology and Oncology. According to data from OpenAlex, Shenghao Tu has authored 70 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Rheumatology, 18 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Shenghao Tu's work include Rheumatoid Arthritis Research and Therapies (21 papers), Autoimmune and Inflammatory Disorders Research (10 papers) and COVID-19 Clinical Research Studies (9 papers). Shenghao Tu is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (21 papers), Autoimmune and Inflammatory Disorders Research (10 papers) and COVID-19 Clinical Research Studies (9 papers). Shenghao Tu collaborates with scholars based in China, United States and Australia. Shenghao Tu's co-authors include Ying Huang, Pan Shen, Kai Qin, Xin Ba, Weiji Lin, Zhe Chen, Yao Huang, Liang Han, Zhe Chen and Yu Wang and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Annals of the Rheumatic Diseases.

In The Last Decade

Shenghao Tu

67 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Shenghao Tu 508 325 301 265 213 70 1.7k
Yali Ren 662 1.3× 186 0.6× 151 0.5× 235 0.9× 80 0.4× 70 2.1k
Yubin Luo 769 1.5× 106 0.3× 268 0.9× 414 1.6× 139 0.7× 76 1.9k
S. Tam 769 1.5× 107 0.3× 132 0.4× 585 2.2× 119 0.6× 98 2.4k
Shijun He 674 1.3× 94 0.3× 186 0.6× 426 1.6× 181 0.8× 82 1.7k
Tim Mant 384 0.8× 155 0.5× 182 0.6× 253 1.0× 214 1.0× 55 2.2k
Chun-Ling Liang 521 1.0× 89 0.3× 89 0.3× 404 1.5× 139 0.7× 43 1.6k
Mohammad Javad Mousavi 489 1.0× 79 0.2× 368 1.2× 320 1.2× 104 0.5× 49 1.4k
Qingshan Zheng 347 0.7× 182 0.6× 62 0.2× 109 0.4× 316 1.5× 127 1.6k
Fan He 531 1.0× 353 1.1× 108 0.4× 392 1.5× 97 0.5× 62 1.6k
Jean‐Francois Marier 537 1.1× 70 0.2× 115 0.4× 167 0.6× 136 0.6× 72 2.0k

Countries citing papers authored by Shenghao Tu

Since Specialization
Citations

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

Fields of papers citing papers by Shenghao Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenghao Tu

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