Wanting Wan

22 total papers · 591 total citations
16 papers, 443 citations indexed

About

Wanting Wan is a scholar working on Cell Biology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Wanting Wan has authored 16 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cell Biology, 4 papers in Molecular Biology and 3 papers in Immunology and Allergy. Recurrent topics in Wanting Wan's work include Cellular Mechanics and Interactions (9 papers), 3D Printing in Biomedical Research (3 papers) and Cell Adhesion Molecules Research (3 papers). Wanting Wan is often cited by papers focused on Cellular Mechanics and Interactions (9 papers), 3D Printing in Biomedical Research (3 papers) and Cell Adhesion Molecules Research (3 papers). Wanting Wan collaborates with scholars based in China and United States. Wanting Wan's co-authors include Ang Li, Feng Xu, Min Lin, Yufei Ma, Bo Cheng, Tianyu Zhong, Xiaohui Zhang, Qingzhen Yang, Yuan Ji and Minli You and has published in prestigious journals such as Advanced Functional Materials, Chemical Engineering Journal and Biophysical Journal.

In The Last Decade

Wanting Wan

16 papers receiving 442 citations

Author Peers

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

Author Last Decade Papers Cites
Wanting Wan 174 119 111 80 52 16 443
Susanne Proksch 96 0.6× 73 0.6× 134 1.2× 23 0.3× 54 1.0× 23 383
Eva Müssig 82 0.5× 87 0.7× 102 0.9× 39 0.5× 27 0.5× 16 379
Linyi Cai 68 0.4× 100 0.8× 210 1.9× 22 0.3× 55 1.1× 21 483
Francesca Posa 126 0.7× 70 0.6× 140 1.3× 13 0.2× 42 0.8× 15 437
Boris Schminke 55 0.3× 39 0.3× 79 0.7× 36 0.5× 21 0.4× 26 393
A. Joffre 47 0.3× 67 0.6× 196 1.8× 39 0.5× 34 0.7× 24 477
Sleiman Razzouk 197 1.1× 27 0.2× 213 1.9× 37 0.5× 62 1.2× 16 488
Jefferson O. Abaricia 222 1.3× 23 0.2× 123 1.1× 19 0.2× 61 1.2× 9 481
Aurélien Fouillen 135 0.8× 25 0.2× 228 2.1× 23 0.3× 30 0.6× 20 451
Addy Alt‐Holland 81 0.5× 136 1.1× 226 2.0× 13 0.2× 30 0.6× 17 474

Countries citing papers authored by Wanting Wan

Since Specialization
Citations

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

Fields of papers citing papers by Wanting Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanting Wan

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