Hui Kang

38 papers and 741 indexed citations i.

About

Hui Kang is a scholar working on Neurology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Hui Kang has authored 38 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Neurology, 11 papers in Pathology and Forensic Medicine and 10 papers in Epidemiology. Recurrent topics in Hui Kang’s work include CNS Lymphoma Diagnosis and Treatment (10 papers), Lymphoma Diagnosis and Treatment (9 papers) and Glioma Diagnosis and Treatment (4 papers). Hui Kang is often cited by papers focused on CNS Lymphoma Diagnosis and Treatment (10 papers), Lymphoma Diagnosis and Treatment (9 papers) and Glioma Diagnosis and Treatment (4 papers). Hui Kang collaborates with scholars based in China, United States and Finland. Hui Kang's co-authors include Long Mao, Aili Li, Melvin R. Duvall, Yun Teng, Yang Chu, Lianfu Deng, Yufei Yan, Mitrick A. Johns, Wen Zhai and Qi Jin and has published in prestigious journals such as Blood, Scientific Reports and Gene.

In The Last Decade

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

Fields of papers citing papers by Hui Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hui Kang

Since Specialization
Citations

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