Guang-Xia Ni

62 total papers · 563 total citations
42 papers, 363 citations indexed

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 42 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Complementary and alternative medicine, 16 papers in Neurology and 8 papers in Molecular Biology. Recurrent topics in Guang-Xia Ni's work include Acupuncture Treatment Research Studies (28 papers), Neurological Disease Mechanisms and Treatments (11 papers) and Healthcare and Venom Research (5 papers). Guang-Xia Ni is often cited by papers focused on Acupuncture Treatment Research Studies (28 papers), Neurological Disease Mechanisms and Treatments (11 papers) and Healthcare and Venom Research (5 papers). Guang-Xia Ni collaborates with scholars based in China, United States and Canada. Guang-Xia Ni's co-authors include Xin-Chang Zhang, Yangyang Song, Wentao Xu, Hao Chen, Jin Yan, Liang Yue, Jingjing Wu, Yi‐Gang Wan, Wei Sun and Yuting Cao and has published in prestigious journals such as PLoS ONE, Brain Research and Biosensors and Bioelectronics.

In The Last Decade

Guang-Xia Ni

34 papers receiving 356 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Guang-Xia Ni	125	109	63	54	46	42	363
Xingyue Yang	155 1.2×	81 0.7×	42 0.7×	31 0.6×	24 0.5×	42	375
Minguang Yang	116 0.9×	92 0.8×	44 0.7×	24 0.4×	19 0.4×	34	353
Cai D	126 1.0×	58 0.5×	41 0.7×	30 0.6×	16 0.3×	35	314
Zihan Yin	113 0.9×	39 0.4×	35 0.6×	65 1.2×	43 0.9×	52	345
Guangning Nie	121 1.0×	80 0.7×	35 0.6×	41 0.8×	15 0.3×	28	396
Qiang Tang	68 0.5×	126 1.2×	37 0.6×	14 0.3×	29 0.6×	57	393
Shanshan Li	86 0.7×	70 0.6×	15 0.2×	67 1.2×	31 0.7×	35	391
Cili Zhou	142 1.1×	75 0.7×	21 0.3×	17 0.3×	32 0.7×	20	310
Sheng Liu	198 1.6×	59 0.5×	74 1.2×	42 0.8×	17 0.4×	34	400
Fangxiang Zhang	49 0.4×	97 0.9×	27 0.4×	77 1.4×	14 0.3×	32	402

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Guang-Xia Ni. A scholar is included among the top collaborators of Guang-Xia Ni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guang-Xia Ni. Guang-Xia Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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