Jun Xiang

97 papers and 1.8k indexed citations i.

About

Jun Xiang is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Jun Xiang has authored 97 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 15 papers in Neurology and 14 papers in Cancer Research. Recurrent topics in Jun Xiang’s work include Neurological Disease Mechanisms and Treatments (10 papers), Cancer-related molecular mechanisms research (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Jun Xiang is often cited by papers focused on Neurological Disease Mechanisms and Treatments (10 papers), Cancer-related molecular mechanisms research (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Jun Xiang collaborates with scholars based in China, United States and South Korea. Jun Xiang's co-authors include Dingfang Cai, Dana E. King, Courtney Pilkerton, Yuping Tang, Zhonghai Yu, Jianjiang Xu, Yue Li, Jing Zhang, Yiqin Dai and Rui Lan and has published in prestigious journals such as Brain Research, Scientific Reports and The Lancet Oncology.

In The Last Decade

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

Fields of papers citing papers by Jun Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Xiang

Since Specialization
Citations

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