Tianyi Yu

20 total papers · 973 total citations
18 papers, 725 citations indexed

About

Tianyi Yu is a scholar working on Rehabilitation, Molecular Biology and Occupational Therapy. According to data from OpenAlex, Tianyi Yu has authored 18 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rehabilitation, 3 papers in Molecular Biology and 3 papers in Occupational Therapy. Recurrent topics in Tianyi Yu's work include Wound Healing and Treatments (6 papers), Pressure Ulcer Prevention and Management (3 papers) and Diabetic Foot Ulcer Assessment and Management (3 papers). Tianyi Yu is often cited by papers focused on Wound Healing and Treatments (6 papers), Pressure Ulcer Prevention and Management (3 papers) and Diabetic Foot Ulcer Assessment and Management (3 papers). Tianyi Yu collaborates with scholars based in China and Italy. Tianyi Yu's co-authors include Peilang Yang, Min Gao, Di Wang, Xuelian Chen, Dan Liu, Jizhuang Wang, Min Gao, Xiong Zhang, Jie Zhang and Chenghao Lu and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Optics Letters.

In The Last Decade

Tianyi Yu

18 papers receiving 709 citations

Hit Papers

Lactylation of PKM2 Suppr... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Tianyi Yu 215 147 113 103 102 18 725
Sophia Liu 471 2.2× 83 0.6× 11 0.1× 109 1.1× 131 1.3× 27 907
Xi Li 207 1.0× 11 0.1× 41 0.4× 13 0.1× 32 0.3× 47 767
Piyush Goyal 159 0.7× 6 0.0× 48 0.4× 24 0.2× 162 1.6× 13 677
Douglas J. Kelly 342 1.6× 3 0.0× 44 0.4× 42 0.4× 37 0.4× 37 777
Yi Liu 483 2.2× 39 0.3× 10 0.1× 42 0.4× 89 0.9× 39 909
Xiaohan Zhao 422 2.0× 12 0.1× 49 0.4× 100 1.0× 17 0.2× 33 873
Xiaolan Zhu 340 1.6× 58 0.4× 21 0.2× 172 1.7× 52 0.5× 24 766
David Lu 202 0.9× 9 0.1× 174 1.5× 23 0.2× 30 0.3× 26 733
Songtao Feng 280 1.3× 6 0.0× 233 2.1× 119 1.2× 45 0.4× 31 727
Pallavi Banerjee 282 1.3× 29 0.2× 10 0.1× 76 0.7× 64 0.6× 32 817

Countries citing papers authored by Tianyi Yu

Since Specialization
Citations

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

Fields of papers citing papers by Tianyi Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyi Yu

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