Shengxi Meng

36 total papers · 1.1k total citations
29 papers, 904 citations indexed

About

Shengxi Meng is a scholar working on Complementary and alternative medicine, Neurology and Physiology. According to data from OpenAlex, Shengxi Meng has authored 29 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Complementary and alternative medicine, 10 papers in Neurology and 10 papers in Physiology. Recurrent topics in Shengxi Meng's work include Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). Shengxi Meng is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). Shengxi Meng collaborates with scholars based in China and United States. Shengxi Meng's co-authors include Yiyang Hu, Qin Feng, Jinghua Peng, Jianmei Cao, Niu Tian, R. Davis Manning, Bing Wang, Wentao Li, Zhou Wang and Zhicheng Liu and has published in prestigious journals such as Neuroscience, RSC Advances and BioMed Research International.

In The Last Decade

Shengxi Meng

28 papers receiving 888 citations

Hit Papers

Roles of Chlorogenic Acid... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Shengxi Meng 278 169 163 156 145 29 904
Asma Ejaz 334 1.2× 149 0.9× 240 1.5× 136 0.9× 145 1.0× 21 990
Koichi Misawa 255 0.9× 126 0.7× 190 1.2× 161 1.0× 126 0.9× 16 735
Francis I. Achike 213 0.8× 173 1.0× 204 1.3× 115 0.7× 109 0.8× 34 769
Tae‐Il Jeon 351 1.3× 107 0.6× 155 1.0× 139 0.9× 157 1.1× 33 982
Boobalan Raja 331 1.2× 160 0.9× 133 0.8× 86 0.6× 193 1.3× 34 1.1k
Yaoyao Jia 416 1.5× 162 1.0× 132 0.8× 83 0.5× 152 1.0× 29 1.0k
Diane Vallerand 286 1.0× 256 1.5× 134 0.8× 75 0.5× 175 1.2× 34 1.0k
Sarawoot Bunbupha 219 0.8× 178 1.1× 120 0.7× 98 0.6× 125 0.9× 34 873
Daniela Zanini 190 0.7× 175 1.0× 257 1.6× 142 0.9× 82 0.6× 44 1.0k
Bong‐Keun Choi 326 1.2× 108 0.6× 120 0.7× 185 1.2× 186 1.3× 45 897

Countries citing papers authored by Shengxi Meng

Since Specialization
Citations

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

Fields of papers citing papers by Shengxi Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengxi Meng

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