Mai Chen

51 papers receiving 1.8k citations

Peers

Mai Chen
Comparison fields: 5 of 135
  • Electronic, Optical and Magnetic Materials 317
  • Developmental Neuroscience 62
  • Pathology and Forensic Medicine 253
  • Cardiology and Cardiovascular Medicine 234
  • Polymers and Plastics 144
Replace Wenyi Guo with:
Wenyi Guo China
Dmitriy N. Atochin United States
Lanfang Li China
Chun‐An Chen Taiwan
Ye Tian China
Seong-Yun Kim South Korea
Shuhua Xu United States
Natalia Malara Italy
Cong Wang China
Fabao Gao China
Mai Chen relative to Wenyi Guo China Wenyi Guo's profile →
Citations per field
00.5×5.0×
Wenyi Guo · 1×
Citations per year

Countries citing papers authored by Mai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mai 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 Mai Chen Line = papers co-authored together Mai Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991151
2 2011140
3 1991128
4 1990117
5 2004111
6 2005110
7 200482
8 202173
9 200567
10 202066
11 199166
12 201857
13 199255
14 201353
15 201345
16 200343
17 201743
18 200741
19 201338
20 200038

About Mai Chen

Mai Chen is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Electronic, Optical and Magnetic Materials, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (8 papers), Nonlinear Optical Materials Research (7 papers), Cardiac electrophysiology and arrhythmias (3 papers), Synthesis and properties of polymers (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Iron Metabolism and Disorders (3 papers) and Anesthesia and Neurotoxicity Research (3 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (317 citations), Developmental Neuroscience (62 citations), Pathology and Forensic Medicine (253 citations), Cardiology and Cardiovascular Medicine (234 citations) and Polymers and Plastics (144 citations). Mai Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Larry R. Dalton, Luping Yu, Yongqiang Shi, William H. Steier, Chunmei Cao, Tak‐Ming Wong, Luping Yu, Tak Ming Wong, Raymond F. Regan and Qiang Xia. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Applied Physics Letters, PLoS ONE, British Journal of Pharmacology and Journal of Petroleum Science and Engineering.

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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