Shukun Wang

20 total papers · 653 total citations
16 papers, 445 citations indexed

About

Shukun Wang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shukun Wang has authored 16 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shukun Wang's work include Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). Shukun Wang is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). Shukun Wang collaborates with scholars based in China, United States and United Kingdom. Shukun Wang's co-authors include Meiying Luo, Zengqiang Yuan, Yongfei Yang, Fengping Yao, Yuesong Pan, Wei Lv, Weiqi Chen, Jianwei Jiao, Huihui Jiang and Qianwei Zhao and has published in prestigious journals such as Applied and Environmental Microbiology, Stroke and Scientific Reports.

In The Last Decade

Shukun Wang

16 papers receiving 444 citations

Author Peers

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

Author Last Decade Papers Cites
Shukun Wang 203 153 143 96 79 16 445
Roshini Sathiaseelan 171 0.8× 109 0.7× 66 0.5× 43 0.4× 49 0.6× 14 375
Shan Chen 205 1.0× 80 0.5× 56 0.4× 37 0.4× 70 0.9× 22 468
Mingyue Rao 222 1.1× 84 0.5× 51 0.4× 41 0.4× 46 0.6× 18 397
Zhiqiang Guan 245 1.2× 96 0.6× 54 0.4× 57 0.6× 31 0.4× 19 487
Luisa Ricci 193 1.0× 80 0.5× 107 0.7× 32 0.3× 39 0.5× 18 450
Altin Gjymishka 231 1.1× 34 0.2× 105 0.7× 63 0.7× 49 0.6× 15 445
Xiaohong Wu 170 0.8× 114 0.7× 110 0.8× 65 0.7× 18 0.2× 23 408
Z. Varga 89 0.4× 103 0.7× 30 0.2× 35 0.4× 106 1.3× 17 378
Takehiro Hirano 223 1.1× 70 0.5× 38 0.3× 178 1.9× 51 0.6× 22 476
Roseline Guibon 197 1.0× 88 0.6× 88 0.6× 60 0.6× 25 0.3× 20 425

Countries citing papers authored by Shukun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shukun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shukun Wang

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