Meng Shen

30 total papers · 909 total citations
27 papers, 757 citations indexed

About

Meng Shen is a scholar working on Food Science, Plant Science and Nutrition and Dietetics. According to data from OpenAlex, Meng Shen has authored 27 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Food Science, 9 papers in Plant Science and 7 papers in Nutrition and Dietetics. Recurrent topics in Meng Shen's work include Food composition and properties (7 papers), Polysaccharides Composition and Applications (4 papers) and Polysaccharides and Plant Cell Walls (3 papers). Meng Shen is often cited by papers focused on Food composition and properties (7 papers), Polysaccharides Composition and Applications (4 papers) and Polysaccharides and Plant Cell Walls (3 papers). Meng Shen collaborates with scholars based in China, Oman and United Kingdom. Meng Shen's co-authors include Xiao Guan, Longkui Cao, Kai Huang, Weihao Wang, Sen Li, Yu Zhang, Yongjun Zhang, Gaimei She, Ting He and Lu Zhang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Molecules and Organic Letters.

In The Last Decade

Meng Shen

27 papers receiving 749 citations

Hit Papers

Flavonoids from Whole-Gra... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Meng Shen 264 236 222 170 96 27 757
Yi Sheng 385 1.5× 231 1.0× 231 1.0× 223 1.3× 78 0.8× 21 891
Yuxiao Zou 375 1.4× 163 0.7× 226 1.0× 116 0.7× 75 0.8× 37 845
Chin‐Feng Chan 278 1.1× 179 0.8× 191 0.9× 167 1.0× 83 0.9× 37 892
Sabine Widder 211 0.8× 217 0.9× 287 1.3× 224 1.3× 44 0.5× 22 790
D. J. Robbins 301 1.1× 250 1.1× 153 0.7× 183 1.1× 40 0.4× 33 853
Sheau Wei Tan 370 1.4× 179 0.8× 247 1.1× 131 0.8× 55 0.6× 23 897
Chenzhipeng Nie 266 1.0× 448 1.9× 239 1.1× 129 0.8× 116 1.2× 25 894
Xiaohong Yu 203 0.8× 202 0.9× 154 0.7× 101 0.6× 49 0.5× 26 627
Felipe Meira de‐Faria 257 1.0× 262 1.1× 245 1.1× 82 0.5× 74 0.8× 31 861
Qiang Zhang 384 1.5× 108 0.5× 159 0.7× 188 1.1× 71 0.7× 34 867

Countries citing papers authored by Meng Shen

Since Specialization
Citations

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

Fields of papers citing papers by Meng Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Shen

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