Xiaohong Chen

987 citations
24 papers · 768 · h-index 11

Impact in

Papers in

Xiaohong Chen

21 papers receiving 748 citations

Peers

Xiaohong Chen
Comparison fields: 5 of 91
  • Complementary and alternative medicine 103
  • Physiology 303
  • Endocrinology, Diabetes and Metabolism 120
  • Endocrine and Autonomic Systems 48
  • Cellular and Molecular Neuroscience 125
Replace Sharron Dolan with:
Sharron Dolan United Kingdom
Hideaki Nishio Japan
Lindsay Joy Spielman Canada
Ya‐Hsin Hsiao Taiwan
Lucie Dvořáková Australia
Cécile Faure France
Hossein Shirvani Iran
Caio Henrique Mazucanti United States
Michelle Moyer United States
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Citations per field
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Citations per year

Countries citing papers authored by Xiaohong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995259
2 1992150
3 1998109
4 202441
5 199440
6 200127
7 199622
8 199522
9 201122
10 200918
11 199816
12 20208
13
[Treating chronic persistent bronchial asthma children with abnormal myocardial enzyme spectrum by Yupingfeng powder: an efficacy observation].
20148
14 20256
15 20245
16 20235
17 20184
18 20242
19 20162
20
Effect of montelukast on the level of urine leukotriene E4 in children with bronchiolitis
20121

About Xiaohong Chen

Xiaohong Chen is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 24 papers that have together received 768 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Advanced battery technologies research (5 papers), Receptor Mechanisms and Signaling (4 papers), Pain Mechanisms and Treatments (4 papers), Supercapacitor Materials and Fabrication (3 papers), Conducting polymers and applications (2 papers), Adipose Tissue and Metabolism (2 papers) and Advanced Battery Materials and Technologies (2 papers). The work is most often cited by research in Complementary and alternative medicine (103 citations), Physiology (303 citations), Endocrinology, Diabetes and Metabolism (120 citations), Endocrine and Autonomic Systems (48 citations) and Cellular and Molecular Neuroscience (125 citations). Xiaohong Chen has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Günther Boden, G. Boden, N Iqbal, Martin W. Adler, Lee‐Yuan Liu‐Chen, Ellen B. Geller, Jill Adams, Ronald J. Tallarida, Martin W. Adler and Weiwei Pang. Their work appears in journals such as Brain Research, Journal of Colloid and Interface Science, Medicine, Pediatric Pulmonology and Neuroreport.

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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