Nianhong Wang

49 total papers · 674 total citations
36 papers, 445 citations indexed

About

Nianhong Wang is a scholar working on Neurology, Complementary and alternative medicine and Molecular Biology. According to data from OpenAlex, Nianhong Wang has authored 36 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 8 papers in Complementary and alternative medicine and 7 papers in Molecular Biology. Recurrent topics in Nianhong Wang's work include Acupuncture Treatment Research Studies (8 papers), Neurological Disease Mechanisms and Treatments (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Nianhong Wang is often cited by papers focused on Acupuncture Treatment Research Studies (8 papers), Neurological Disease Mechanisms and Treatments (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Nianhong Wang collaborates with scholars based in China, United States and Bangladesh. Nianhong Wang's co-authors include Feibo Wu, Cheng‐Wei Qiu, Weihua Mao, Can Zhang, Muhammad Dawood, Yi Wu, Feng Xue, Junmei Wang, Hongyu Xie and Kewei Yu and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Nianhong Wang

34 papers receiving 444 citations

Author Peers

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

Author						Papers	Cites
Nianhong Wang	201	96	63	33	31	36	445
Amir Mohammad Malvandi	131 0.7×	166 1.7×	40 0.6×	34 1.0×	57 1.8×	39	495
Menghan Li	75 0.4×	94 1.0×	31 0.5×	28 0.8×	17 0.5×	53	456
Xiaohui Sun	105 0.5×	96 1.0×	21 0.3×	33 1.0×	112 3.6×	48	490
Mahmoud Abdelghaffar Emam	149 0.7×	59 0.6×	11 0.2×	16 0.5×	10 0.3×	30	473
Aron Ferreira da Silveira	115 0.6×	77 0.8×	65 1.0×	12 0.4×	59 1.9×	46	463
Yan Song	100 0.5×	149 1.6×	21 0.3×	20 0.6×	31 1.0×	42	393
Roland Patai	39 0.2×	125 1.3×	95 1.5×	57 1.7×	11 0.4×	42	474
Jiayuan Wu	98 0.5×	155 1.6×	46 0.7×	44 1.3×	19 0.6×	28	420
Xiaofen Wang	32 0.2×	157 1.6×	39 0.6×	27 0.8×	10 0.3×	27	490
M. Akaike	26 0.1×	114 1.2×	23 0.4×	21 0.6×	13 0.4×	22	468

Countries citing papers authored by Nianhong Wang

Since Specialization

Citations

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

Fields of papers citing papers by Nianhong Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nianhong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Nianhong Wang. A scholar is included among the top collaborators of Nianhong Wang 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 Nianhong Wang. Nianhong Wang 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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