Hai‐jie Wang

54 total papers · 1.2k total citations
33 papers, 902 citations indexed

About

Hai‐jie Wang is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Hai‐jie Wang has authored 33 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Surgery and 10 papers in Genetics. Recurrent topics in Hai‐jie Wang's work include Tissue Engineering and Regenerative Medicine (13 papers), Mesenchymal stem cell research (10 papers) and Electrospun Nanofibers in Biomedical Applications (7 papers). Hai‐jie Wang is often cited by papers focused on Tissue Engineering and Regenerative Medicine (13 papers), Mesenchymal stem cell research (10 papers) and Electrospun Nanofibers in Biomedical Applications (7 papers). Hai‐jie Wang collaborates with scholars based in China, Singapore and United States. Hai‐jie Wang's co-authors include Yu‐zhen Tan, Dayong Zhang, Hai-dong Guo, Pei Zhou, Qiang‐Li Wang, Yongli Wang, Guo-hong Cui, Haifeng Zhang, Dan Kai and Seeram Ramakrishna and has published in prestigious journals such as PLoS ONE, Stroke and Biochemical and Biophysical Research Communications.

In The Last Decade

Hai‐jie Wang

33 papers receiving 893 citations

Author Peers

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

Author Last Decade Papers Cites
Hai‐jie Wang 388 354 249 218 107 33 902
Nanako Kawaguchi 363 0.9× 297 0.8× 145 0.6× 102 0.5× 124 1.2× 41 894
Alfred Gugerell 283 0.7× 191 0.5× 141 0.6× 155 0.7× 83 0.8× 42 855
Sharon Paton 280 0.7× 368 1.0× 128 0.5× 574 2.6× 124 1.2× 27 1.0k
Jeffrey Schmeckpeper 561 1.4× 454 1.3× 189 0.8× 260 1.2× 103 1.0× 23 1.0k
Shu Uin Gan 394 1.0× 306 0.9× 86 0.3× 271 1.2× 146 1.4× 44 979
Alessandra Melo de Aguiar 346 0.9× 269 0.8× 104 0.4× 399 1.8× 56 0.5× 39 805
Takahiro Sakuma 298 0.8× 301 0.9× 100 0.4× 285 1.3× 80 0.7× 36 1.0k
Roberta Fiaccavento 265 0.7× 297 0.8× 258 1.0× 197 0.9× 46 0.4× 22 813
Simona Corrao 366 0.9× 447 1.3× 165 0.7× 563 2.6× 67 0.6× 29 956
Nobuko Kawaguchi 304 0.8× 163 0.5× 165 0.7× 173 0.8× 116 1.1× 17 730

Countries citing papers authored by Hai‐jie Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐jie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai‐jie Wang. 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 Hai‐jie Wang. The network helps show where Hai‐jie Wang may publish in the future.

Co-authorship network of co-authors of Hai‐jie Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hai‐jie Wang. A scholar is included among the top collaborators of Hai‐jie Wang 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 Hai‐jie Wang. Hai‐jie Wang 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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