Mengying Chen

56 papers receiving 1.0k citations

Peers

Mengying Chen
Comparison fields: 5 of 123
  • Developmental Neuroscience 59
  • Renewable Energy, Sustainability and the Environment 155
  • Cellular and Molecular Neuroscience 169
  • Neurology 64
  • Pediatrics, Perinatology and Child Health 134
Replace Joseph S. Erlichman with:
Joseph S. Erlichman United States
Hongqin Wang China
Liang-Wei Chen China
Ming Dong China
Shan Shan Gong China
Rui-Xin Zhang China
Francesco Di Blasi Italy
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Mengying Chen relative to Joseph S. Erlichman United States Joseph S. Erlichman's profile →
Citations per field
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Joseph S. Erlichman · 1×
Citations per year

Countries citing papers authored by Mengying Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mengying Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mengying Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mengying Chen Line = papers co-authored together Mengying Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018166
2 2017132
3 202275
4 201153
5 201551
6 202047
7 202242
8 201942
9 201633
10 202031
11 202227
12 201823
13 202121
14 202218
15 202117
16 202217
17 202017
18 202016
19 202115
20 201414

About Mengying Chen

Mengying Chen is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Physiology, Epidemiology and Renewable Energy, Sustainability and the Environment, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pediatric Pain Management Techniques (8 papers), Electrocatalysts for Energy Conversion (5 papers), Infant Development and Preterm Care (4 papers), Acute Ischemic Stroke Management (4 papers), Pain Mechanisms and Treatments (3 papers), Advanced Photocatalysis Techniques (3 papers), Neuropeptides and Animal Physiology (3 papers) and Obesity, Physical Activity, Diet (3 papers). The work is most often cited by research in Developmental Neuroscience (59 citations), Renewable Energy, Sustainability and the Environment (155 citations), Cellular and Molecular Neuroscience (169 citations), Neurology (64 citations) and Pediatrics, Perinatology and Child Health (134 citations). Mengying Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kuan Hong Wang, Zhigang He, Zicong Zhang, Yuanyuan Liu, Xuhua Wang, Xinjian Li, Shifan Wu, Yinhua Chen, Can Liu and Dali Zhou. Their work appears in journals such as Nature, Journal of Alloys and Compounds, BMC Plant Biology, Blood and Comparative Biochemistry and Physiology Part D Genomics and Proteomics.

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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