Yingnan Wu

55 total papers · 1.0k total citations
41 papers, 805 citations indexed

About

Yingnan Wu is a scholar working on Rheumatology, Molecular Biology and Surgery. According to data from OpenAlex, Yingnan Wu has authored 41 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Rheumatology, 12 papers in Molecular Biology and 11 papers in Surgery. Recurrent topics in Yingnan Wu's work include Osteoarthritis Treatment and Mechanisms (14 papers), Periodontal Regeneration and Treatments (7 papers) and Mesenchymal stem cell research (5 papers). Yingnan Wu is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (14 papers), Periodontal Regeneration and Treatments (7 papers) and Mesenchymal stem cell research (5 papers). Yingnan Wu collaborates with scholars based in China, Singapore and United States. Yingnan Wu's co-authors include Zheng Yang, Eng Hin Lee, James Hoi Po Hui, Litao Sun, Zigang Ge, Jongyoon Han, Vinitha Denslin, Wen-ying Hou, M Kellis and Shuang Zhang and has published in prestigious journals such as PLoS ONE, Biomaterials and ACS Applied Materials & Interfaces.

In The Last Decade

Yingnan Wu

39 papers receiving 796 citations

Author Peers

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

Author Last Decade Papers Cites
Yingnan Wu 299 274 197 184 183 41 805
Yiying Qi 301 1.0× 255 0.9× 228 1.2× 303 1.6× 113 0.6× 42 1.0k
Yongchang Yao 314 1.1× 326 1.2× 287 1.5× 195 1.1× 138 0.8× 39 937
Yiyong Wei 217 0.7× 280 1.0× 293 1.5× 351 1.9× 131 0.7× 46 1.0k
Tao Li 224 0.7× 334 1.2× 157 0.8× 103 0.6× 152 0.8× 29 760
Tomasz Trzeciak 277 0.9× 336 1.2× 169 0.9× 161 0.9× 86 0.5× 47 843
Satoru Nishizawa 200 0.7× 380 1.4× 195 1.0× 240 1.3× 105 0.6× 54 920
Tommy A. Karlsen 298 1.0× 314 1.1× 167 0.8× 131 0.7× 251 1.4× 24 766
Christel Henrionnet 256 0.9× 459 1.7× 259 1.3× 187 1.0× 63 0.3× 36 935
Chunxiang Hao 213 0.7× 291 1.1× 215 1.1× 261 1.4× 62 0.3× 38 904
Tilo Dehne 213 0.7× 507 1.9× 266 1.4× 216 1.2× 105 0.6× 29 973

Countries citing papers authored by Yingnan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yingnan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingnan Wu

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