Yan Chen

8.7k citations
294 papers · 5.2k · h-index 37

Impact in

Papers in

Yan Chen

271 papers receiving 5.1k citations

Peers

Yan Chen
Comparison fields: 5 of 191
  • Structural Biology 84
  • Cellular and Molecular Neuroscience 775
  • Cognitive Neuroscience 675
  • Pulmonary and Respiratory Medicine 933
  • Behavioral Neuroscience 94
Replace Yun Wang with:
Yun Wang China
Rebecca A. Betensky United States
Ying Zhang China
Jan G. Hengstler Germany
Stephen R. Robinson Australia
Chao Chen China
Ling Liu China
Rolando F. Del Maestro Canada
Sudhir Varma United States
Yong Wang China
Yan Chen relative to Yun Wang China Yun Wang's profile →
Citations per field
00.5×6.5×
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 294 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014290
2 2000261
3 2016255
4 2020138
5 2002130
6 1999104
7 202196
8 201493
9 201592
10 201691
11 202080
12 200973
13 202270
14 201869
15 201669
16 202163
17 201562
18 201860
19 199959
20 201057

About Yan Chen

Yan Chen is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Physiology, Epidemiology and Immunology, having authored 294 papers that have together received 5.2k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (78 papers), Respiratory Support and Mechanisms (35 papers), Asthma and respiratory diseases (25 papers), Neonatal Respiratory Health Research (21 papers), Neuroscience and Neuropharmacology Research (11 papers), Pediatric health and respiratory diseases (10 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Structural Biology (84 citations), Cellular and Molecular Neuroscience (775 citations), Cognitive Neuroscience (675 citations), Pulmonary and Respiratory Medicine (933 citations) and Behavioral Neuroscience (94 citations). Yan Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ping Chen, Shan Cai, Asim J. Rashid, Paul W. Frankland, 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, Frontiers in Medicine, Tobacco Induced Diseases, Respiratory Research 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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