Jin Chen

2.3k citations
72 papers · 1.6k · h-index 22

Impact in

Papers in

Jin Chen

69 papers receiving 1.6k citations

Peers

Jin Chen
Comparison fields: 5 of 144
  • Cellular and Molecular Neuroscience 373
  • Clinical Biochemistry 136
  • Molecular Biology 976
  • Biochemistry 67
  • Physiology 239
Replace Marco Spinazzi with:
Marco Spinazzi Italy
Oh‐Shin Kwon South Korea
Andrew P. Wojtovich United States
Hidemitsu Nakajima Japan
Fei Cai China
Ove Eriksson Finland
Annagrazia Adornetto Italy
Kerstin Hill Germany
Samuel E. Schriner United States
G. D. Mironova Russia
Jin Chen relative to Marco Spinazzi Italy Marco Spinazzi's profile →
Citations per field
00.5×1.7×
Marco Spinazzi · 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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011446
2 2010138
3 200390
4 201584
5 201248
6
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
7 201746
8 200645
9 199844
10 202038
11 201835
12 201430
13 201630
14 201527
15 201726
16 201324
17 200724
18 200323
19 202123
20 200522

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 72 papers that have together received 1.6k 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), Heart Rate Variability and Autonomic Control (4 papers), Neuroscience of respiration and sleep (4 papers), Plant Gene Expression Analysis (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (373 citations), Clinical Biochemistry (136 citations), Molecular Biology (976 citations), Biochemistry (67 citations) and Physiology (239 citations). Jin Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ella Bossy‐Wetzel, Blaise Bossy, Eliezer Masliah, Robert Schwarzenbacher, Alejandra M. Petrilli, Eva Klinglmayr, Isabelle Rouiller, R. Rivkah Isseroff, Christine E. Pullar and Mahmoud A. Pouladi. Their work appears in journals such as The Journal of Comparative Neurology, iScience, Scientific Reports, Journal of Biological Chemistry and Frontiers in Cardiovascular Medicine.

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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