Peng Wan

116 total papers · 3.6k total citations
84 papers, 3.0k citations indexed

About

Peng Wan is a scholar working on Biomaterials, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Peng Wan has authored 84 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomaterials, 26 papers in Materials Chemistry and 24 papers in Mechanical Engineering. Recurrent topics in Peng Wan's work include Magnesium Alloys: Properties and Applications (25 papers), Aluminum Alloys Composites Properties (18 papers) and Bone Tissue Engineering Materials (10 papers). Peng Wan is often cited by papers focused on Magnesium Alloys: Properties and Applications (25 papers), Aluminum Alloys Composites Properties (18 papers) and Bone Tissue Engineering Materials (10 papers). Peng Wan collaborates with scholars based in China, Hong Kong and United States. Peng Wan's co-authors include Ke Yang, Lili Tan, Xiaoming Yu, Lili Tan, Bingna Cai, Jianyu Pan, Kerong Dai, Xinhua Qu, Zanjing Zhai and Zhengxiao Ouyang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Analytical Chemistry.

In The Last Decade

Peng Wan

81 papers receiving 2.9k citations

Author Peers

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

Author Last Decade Papers Cites
Peng Wan 1.4k 1.2k 1.0k 862 533 84 3.0k
Qianli Huang 757 0.5× 877 0.8× 1.6k 1.5× 630 0.7× 532 1.0× 126 3.4k
Yuan Liu 851 0.6× 1.0k 0.9× 1.2k 1.2× 328 0.4× 387 0.7× 78 3.8k
Bérengère Luthringer-Feyerabend 1.5k 1.1× 1.2k 1.0× 879 0.9× 825 1.0× 421 0.8× 69 2.6k
Yong‐Beom Park 934 0.7× 523 0.4× 755 0.7× 355 0.4× 1.3k 2.5× 149 5.2k
L’Hocine Yahia 1.1k 0.8× 879 0.8× 1.8k 1.7× 348 0.4× 1.0k 1.9× 96 4.7k
Jinmei He 1.5k 1.1× 646 0.6× 1.1k 1.1× 265 0.3× 491 0.9× 94 3.6k
Ping Wu 864 0.6× 516 0.4× 1.3k 1.3× 445 0.5× 263 0.5× 122 3.1k
Chao Feng 2.1k 1.5× 456 0.4× 1.5k 1.5× 461 0.5× 394 0.7× 156 5.3k
Pascale Chevallier 1.2k 0.9× 836 0.7× 1.2k 1.2× 177 0.2× 425 0.8× 171 3.4k
Ya Liu 1.8k 1.2× 550 0.5× 1.4k 1.4× 241 0.3× 277 0.5× 149 5.1k

Countries citing papers authored by Peng Wan

Since Specialization
Citations

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

Fields of papers citing papers by Peng Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Wan

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