Yan Chen

9.1k citations
302 papers · 5.4k · h-index 37

Impact in

Papers in

Yan Chen

281 papers receiving 5.3k citations

Peers

Yan Chen
Comparison fields: 5 of 188
  • Structural Biology 87
  • Cellular and Molecular Neuroscience 760
  • Cognitive Neuroscience 662
  • Pulmonary and Respiratory Medicine 785
  • Behavioral Neuroscience 89
Replace Yun Wang with:
Yun Wang China
Rebecca A. Betensky United States
Wenting Wang China
Stephen R. Robinson Australia
Gang Lü China
Rolando F. Del Maestro Canada
Chao Chen China
Xiang Chen China
Lawrence Chan United States
Ying Zhang China
Yan Chen relative to Yun Wang China Yun Wang's profile →
Citations per field
00.5×6.7×
Yun Wang · 1×
Citations per year

Countries citing papers authored by Yan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 302 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014295
2 2000264
3 2016259
4 2020158
5 2002130
6 1999104
7 2021103
8 201596
9 201694
10 201494
11 202282
12 202080
13 200973
14 201672
15 201872
16 202170
17 201564
18 201861
19 199959
20 201857

About Yan Chen

Yan Chen is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology, Physiology and Cellular and Molecular Neuroscience, having authored 302 papers that have together received 5.4k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (62 papers), Respiratory Support and Mechanisms (15 papers), Neuroscience and Neuropharmacology Research (11 papers), Neonatal Respiratory Health Research (9 papers), Asthma and respiratory diseases (8 papers), Diabetes and associated disorders (7 papers), Circular RNAs in diseases (7 papers) and Memory and Neural Mechanisms (7 papers). The work is most often cited by research in Structural Biology (87 citations), Cellular and Molecular Neuroscience (760 citations), Cognitive Neuroscience (662 citations), Pulmonary and Respiratory Medicine (785 citations) and Behavioral Neuroscience (89 citations). Yan Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ping Chen, Shan Cai, Paul W. Frankland, Asim J. Rashid, Sheena A. Josselyn, Hwa‐Lin Hsiang, Lawrence M. Grover, Valentina Mercaldo, Lijuan Luo and Yiming Ma. Their work appears in journals such as International Journal of COPD, Respiratory Research, Frontiers in Medicine, Tobacco Induced Diseases and Frontiers in Pharmacology.

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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