Xinchen Wu

36 total papers · 1.1k total citations
23 papers, 810 citations indexed

About

Xinchen Wu is a scholar working on Biomedical Engineering, Biomaterials and Molecular Biology. According to data from OpenAlex, Xinchen Wu has authored 23 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 9 papers in Biomaterials and 4 papers in Molecular Biology. Recurrent topics in Xinchen Wu's work include 3D Printing in Biomedical Research (8 papers), Bone Tissue Engineering Materials (8 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Xinchen Wu is often cited by papers focused on 3D Printing in Biomedical Research (8 papers), Bone Tissue Engineering Materials (8 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Xinchen Wu collaborates with scholars based in United States, China and Sweden. Xinchen Wu's co-authors include Gulden Camci‐Unal, Sanika Suvarnapathaki, Darlin Lantigua, Michelle Nguyen, Bin Wu, Tengfei Zhang, Xiaobo Zou, Zhiming Guo, Hesham R. El‐Seedi and Heera Jayan and has published in prestigious journals such as Nature Communications, Food Chemistry and ACS Applied Materials & Interfaces.

In The Last Decade

Xinchen Wu

22 papers receiving 806 citations

Author Peers

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

Author Last Decade Papers Cites
Xinchen Wu 571 271 140 105 87 23 810
Shi Yin 579 1.0× 301 1.1× 192 1.4× 106 1.0× 117 1.3× 28 1.0k
Tiago R. Correia 526 0.9× 380 1.4× 131 0.9× 75 0.7× 101 1.2× 35 1.0k
Julien Barthès 446 0.8× 272 1.0× 126 0.9× 111 1.1× 116 1.3× 25 847
Lu Wang 613 1.1× 389 1.4× 140 1.0× 88 0.8× 203 2.3× 45 977
Yu-Shik Hwang 749 1.3× 381 1.4× 173 1.2× 199 1.9× 102 1.2× 23 1.0k
Ali Farzin 602 1.1× 450 1.7× 138 1.0× 159 1.5× 144 1.7× 31 1.0k
San‐Yuan Chen 659 1.2× 386 1.4× 151 1.1× 93 0.9× 218 2.5× 26 1.0k
Namdev More 635 1.1× 327 1.2× 95 0.7× 142 1.4× 172 2.0× 27 901
Morteza Daliri Joupari 422 0.7× 338 1.2× 131 0.9× 100 1.0× 171 2.0× 52 957
Michelle Nguyen 420 0.7× 234 0.9× 132 0.9× 145 1.4× 183 2.1× 38 889

Countries citing papers authored by Xinchen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xinchen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinchen Wu

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