Jing Chen

6.1k citations
147 papers · 5.0k indexed · h-index 40

Impact in

Papers in

Jing Chen

143 papers receiving 4.9k citations

Peers

Jing Chen
Comparison fields: 5 of 135
  • Endocrine and Autonomic Systems 839
  • Pharmacology 977
  • Behavioral Neuroscience 166
  • Cellular and Molecular Neuroscience 820
  • Cognitive Neuroscience 718
Replace Hironobu Yoshimatsu with:
Hironobu Yoshimatsu Japan
Toshikatsu Okumura Japan
Ertuğrul Kılıç Türkiye
Dongsheng Cai United States
Yasuhiko Minokoshi Japan
David G. Parkes Australia
Masanori Nakata Japan
Kamal Rahmouni United States
Hindrik Mulder Sweden
Jing Chen relative to Hironobu Yoshimatsu Japan Hironobu Yoshimatsu's profile →
Citations per field
00.5×2.9×
Hironobu Yoshimatsu · 1×
Citations per year

Countries citing papers authored by Jing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20241
4 20247
5 20245
6 20238
7 20231
8 20235
9 20227
10 202020
11 20199
12 201817
13 201811
14 201511
15 201327
16 20111
17 201130
18 200830
19 200868
20
[Maximum acceptable weight of lift for manual lifting tasks].
20063

About Jing Chen

Jing Chen is a scholar working on Pharmacology, Endocrine and Autonomic Systems, Behavioral Neuroscience, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 147 papers that have together received 5.0k indexed citations. Recurring topics across this work include Apelin-related biomedical research (29 papers), Receptor Mechanisms and Signaling (23 papers), Sleep and Wakefulness Research (22 papers), Nuclear Receptors and Signaling (20 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (18 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers), Circadian rhythm and melatonin (13 papers) and Neuropeptides and Animal Physiology (12 papers). The work is most often cited by research in Endocrine and Autonomic Systems (839 citations), Pharmacology (977 citations), Behavioral Neuroscience (166 citations), Cellular and Molecular Neuroscience (820 citations) and Cognitive Neuroscience (718 citations). Jing Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Harpal Randeva, Bee K. Tan, Raghu Adya, Bo Bai, Baohua Cheng, Chunmei Wang, Hendrik Lehnert, Anu Punn, Emmanouíl Karteris and Manjunath Ramanjaneya. Their work appears in journals such as Cellular Signalling, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, The Journal of Clinical Endocrinology & Metabolism, Journal of Biological Chemistry and Endocrinology.

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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