Jin Chen

70 papers receiving 1.6k citations

Peers

Jin Chen
Comparison fields: 5 of 144
  • Cellular and Molecular Neuroscience 369
  • Clinical Biochemistry 132
  • Molecular Biology 936
  • Physiology 223
  • Biochemistry 66
Replace Andrew P. Wojtovich with:
Andrew P. Wojtovich United States
Marco Spinazzi France
Oh‐Shin Kwon South Korea
Bernard F. Godley United States
Hidemitsu Nakajima Japan
Fei Cai China
Kerstin Hill Germany
Simona Magi Italy
G. D. Mironova Russia
Annagrazia Adornetto Italy
Jin Chen relative to Andrew P. Wojtovich United States Andrew P. Wojtovich's profile →
Citations per field
00.5×1.5×
Andrew P. Wojtovich · 1×
Citations per year

Countries citing papers authored by Jin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011452
2 2010138
3 200391
4 201584
5 201248
6 201747
7
alpha1-Adrenergic receptor stimulation of mitogenesis in human vascular smooth muscle cells: role of tyrosine protein kinases and calcium in activation of mitogen-activated protein kinase.
199947
8 200645
9 199844
10 202038
11 201835
12 201631
13 201430
14 202129
15 201527
16 201726
17 200724
18 201324
19 200323
20 202122

About Jin Chen

Jin Chen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Physiology and Pharmacology, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (6 papers), Pain Mechanisms and Treatments (5 papers), Neuroscience of respiration and sleep (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (369 citations), Clinical Biochemistry (132 citations), Molecular Biology (936 citations), Physiology (223 citations) and Biochemistry (66 citations). Jin Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Blaise Bossy, Ella Bossy‐Wetzel, Eliezer Masliah, Alejandra M. Petrilli, Eva Klinglmayr, Robert Schwarzenbacher, Isabelle Rouiller, R. Rivkah Isseroff, Christine E. Pullar and Wenjun Song. Their work appears in journals such as The Journal of Comparative Neurology, iScience, Frontiers in Cardiovascular Medicine, PLoS ONE and Journal of Pharmacology and Experimental Therapeutics.

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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