Kun Wang

250 papers and 4.7k indexed citations i.

About

Kun Wang is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Kun Wang has authored 250 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Oncology, 69 papers in Cancer Research and 68 papers in Molecular Biology. Recurrent topics in Kun Wang’s work include Breast Cancer Treatment Studies (37 papers), Cancer Immunotherapy and Biomarkers (20 papers) and Spine and Intervertebral Disc Pathology (19 papers). Kun Wang is often cited by papers focused on Breast Cancer Treatment Studies (37 papers), Cancer Immunotherapy and Biomarkers (20 papers) and Spine and Intervertebral Disc Pathology (19 papers). Kun Wang collaborates with scholars based in China, Hong Kong and United States. Kun Wang's co-authors include Yang Cao, Yu Song, Yukun Zhang, Shuai Li, Xinghuo Wu, Zhiwei Liao, Rongjin Luo, Kangcheng Zhao, Liang Kang and Gaocai Li and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Kun Wang i

Fields of papers citing papers by Kun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Wang

Since Specialization
Citations

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

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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2025