Jun Kang

35 papers and 553 indexed citations i.

About

Jun Kang is a scholar working on Surgery, Neurology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jun Kang has authored 35 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 12 papers in Neurology and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jun Kang’s work include Pituitary Gland Disorders and Treatments (8 papers), Glioma Diagnosis and Treatment (7 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). Jun Kang is often cited by papers focused on Pituitary Gland Disorders and Treatments (8 papers), Glioma Diagnosis and Treatment (7 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). Jun Kang collaborates with scholars based in China and United States. Jun Kang's co-authors include Shangfeng Zhao, Congxin Dai, Xunming Ji, Yumin Luo, Bowen Sun, Renzhi Wang, Haiping Zhao, Feng Yan, Xiangrong Liu and Yong Yao and has published in prestigious journals such as Stroke, Journal of neurosurgery and American Journal of Ophthalmology.

In The Last Decade

Co-authorship network of co-authors of Jun Kang i

Fields of papers citing papers by Jun Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Kang

Since Specialization
Citations

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