Jun Kit Wang

1.3k total citations
20 papers, 651 citations indexed

About

Jun Kit Wang is a scholar working on Biomaterials, Biomedical Engineering and Surgery. According to data from OpenAlex, Jun Kit Wang has authored 20 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomaterials, 9 papers in Biomedical Engineering and 4 papers in Surgery. Recurrent topics in Jun Kit Wang's work include Electrospun Nanofibers in Biomedical Applications (8 papers), Bone Tissue Engineering Materials (5 papers) and Collagen: Extraction and Characterization (3 papers). Jun Kit Wang is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (8 papers), Bone Tissue Engineering Materials (5 papers) and Collagen: Extraction and Characterization (3 papers). Jun Kit Wang collaborates with scholars based in Singapore, Slovakia and Australia. Jun Kit Wang's co-authors include Cleo Choong, Nguan Soon Tan, Gordon M. Xiong, Timothy Thatt Yang Tan, Saeed Maleksaeedi, Chor Yong Tay, Zeming He, Florencia Edith Wiria, Andrew J. Ruys and Elizabeth Kolos and has published in prestigious journals such as ACS Applied Materials & Interfaces, Acta Biomaterialia and Materials Science and Engineering C.

In The Last Decade

Jun Kit Wang

20 papers receiving 642 citations

Peers

Jun Kit Wang
Comparison fields: 5 of 84
  • Biomedical Engineering 360
  • Biomaterials 251
  • Surgery 157
  • Molecular Biology 101
  • Automotive Engineering 91
Replace Louis Cheung with:
Louis Cheung United States
S. Prakash Parthiban India
Shangjing Xin China
Lei Xiang China
Kausik Kapat India
Nicole Bassous United States
Liguo Cui China
Goeun Choe South Korea
Honghyun Park South Korea
Kwang‐Sook Park South Korea
Louis Cheung United States View profile →
Citations per field, relative to Jun Kit Wang
Jun Kit Wang · 1×
Citations per year, relative to Jun Kit Wang
Jun Kit Wang · 1×

Countries citing papers authored by Jun Kit Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kit Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Kit 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 Jun Kit Wang. The network helps show where Jun Kit Wang may publish in the future.

Co-authorship network of co-authors of Jun Kit Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kit Wang. A scholar is included among the top collaborators of Jun Kit 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 Jun Kit Wang. Jun Kit Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 9
3 24
4 29
5 30
6 13
7 27
8 14
9 37
10 48
11 59
12 22
13 25
14 34
15 23
16 73
17 93
18 8
19 29
20 50

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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