Kai Kang

66 papers and 977 indexed citations i.

About

Kai Kang is a scholar working on Epidemiology, Oncology and Molecular Biology. According to data from OpenAlex, Kai Kang has authored 66 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 18 papers in Oncology and 12 papers in Molecular Biology. Recurrent topics in Kai Kang’s work include Ferroptosis and cancer prognosis (6 papers), Lung Cancer Research Studies (6 papers) and Neuroendocrine Tumor Research Advances (5 papers). Kai Kang is often cited by papers focused on Ferroptosis and cancer prognosis (6 papers), Lung Cancer Research Studies (6 papers) and Neuroendocrine Tumor Research Advances (5 papers). Kai Kang collaborates with scholars based in China, United States and Philippines. Kai Kang's co-authors include Hong Ma, Feng Mu, Weili Wu, Yijun Wu, Yanhua Du, Fucun Xie, Haomin Chen, Xiaoyan Tang, Bianli Xu and Xueyong Huang and has published in prestigious journals such as PLoS ONE, The Journal of Infectious Diseases and Journal of Hepatology.

In The Last Decade

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

Fields of papers citing papers by Kai Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Kang

Since Specialization
Citations

This map shows the geographic impact of Kai 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 Kai Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai 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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2025