Guang-Xia Ni

38 papers and 307 indexed citations i.

About

Guang-Xia Ni is a scholar working on Complementary and alternative medicine, Neurology and Molecular Biology. According to data from OpenAlex, Guang-Xia Ni has authored 38 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Complementary and alternative medicine, 14 papers in Neurology and 8 papers in Molecular Biology. Recurrent topics in Guang-Xia Ni’s work include Acupuncture Treatment Research Studies (26 papers), Neurological Disease Mechanisms and Treatments (10 papers) and Healthcare and Venom Research (4 papers). Guang-Xia Ni is often cited by papers focused on Acupuncture Treatment Research Studies (26 papers), Neurological Disease Mechanisms and Treatments (10 papers) and Healthcare and Venom Research (4 papers). Guang-Xia Ni collaborates with scholars based in China, United States and Hong Kong. Guang-Xia Ni's co-authors include Yangyang Song, Wentao Xu, Hao Chen, Bu-Hui Liu, Wei Sun, Jin Yan, Zi-Lin Li, Zi-Yue Wan, Jingjing Wu and Yuting Cao and has published in prestigious journals such as PLoS ONE, Brain Research and Biosensors and Bioelectronics.

In The Last Decade

Co-authorship network of co-authors of Guang-Xia Ni i

Fields of papers citing papers by Guang-Xia Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang-Xia Ni. 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 Guang-Xia Ni. The network helps show where Guang-Xia Ni may publish in the future.

Countries citing papers authored by Guang-Xia Ni

Since Specialization
Citations

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