Xiao‐Jing Yu

118 papers receiving 3.0k citations

Peers

Xiao‐Jing Yu
Comparison fields: 5 of 143
  • Behavioral Neuroscience 222
  • Endocrine and Autonomic Systems 338
  • Biochemistry 271
  • Biological Psychiatry 93
  • Cardiology and Cardiovascular Medicine 400
Replace Michèle Vacca with:
Michèle Vacca Italy
László G. Puskás Hungary
Ji Hoon Jeong South Korea
Hiromu Kawasaki Japan
Kazuhiko Imaizumi Japan
Halit Canatan Türkiye
Kurt Racké Germany
Ian Appleton New Zealand
Ding‐Feng Su China
Shiro Watanabe Japan
Xiao‐Jing Yu relative to Michèle Vacca Italy Michèle Vacca's profile →
Citations per field
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Michèle Vacca · 1×
Citations per year

Countries citing papers authored by Xiao‐Jing Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Jing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019134
2 2011111
3 2010111
4 2006103
5 202096
6 200593
7 200791
8 201481
9 200769
10 201567
11 201162
12 201557
13 201252
14 200951
15 201548
16 201047
17 200846
18 201744
19 200843
20 201443

About Xiao‐Jing Yu

Xiao‐Jing Yu is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Surgery, Behavioral Neuroscience and Cardiology and Cardiovascular Medicine, having authored 122 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (23 papers), Stress Responses and Cortisol (21 papers), Regulation of Appetite and Obesity (13 papers), Sodium Intake and Health (9 papers), Renin-Angiotensin System Studies (9 papers), Psoriasis: Treatment and Pathogenesis (8 papers), Circadian rhythm and melatonin (7 papers) and Neuroscience of respiration and sleep (7 papers). The work is most often cited by research in Behavioral Neuroscience (222 citations), Endocrine and Autonomic Systems (338 citations), Biochemistry (271 citations), Biological Psychiatry (93 citations) and Cardiology and Cardiovascular Medicine (400 citations). Xiao‐Jing Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu‐Ming Kang, Jie Qi, Guo‐Qing Zhu, Hong‐Bao Li, Kai‐Li Liu, Qing Su, Hong‐Li Gao, Xiao‐Lian Shi, Zhiqiang Ye and Jingli Yuan. Their work appears in journals such as Cardiovascular Toxicology, Toxicology and Applied Pharmacology, Frontiers in Neuroscience, Scientific Reports and Regulatory Peptides.

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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