Xiaohong Chen

964 citations
22 papers · 751 indexed · h-index 11

Xiaohong Chen

21 papers receiving 729 citations

Peers

Xiaohong Chen
Comparison fields: 5 of 94
  • Complementary and alternative medicine 121
  • Physiology 359
  • Endocrine and Autonomic Systems 56
  • Endocrinology, Diabetes and Metabolism 137
  • Cellular and Molecular Neuroscience 136
Replace Matilde Otero‐Losada with:
Matilde Otero‐Losada Argentina
Thais F. Luciano Brazil
Sha Sha China
May Hamza Egypt
Hideaki Nishio Japan
Gretchen A. Casazza United States
Mohammad Amani Iran
Ki Ok Shin South Korea
Xiaohong Chen relative to Matilde Otero‐Losada Argentina Matilde Otero‐Losada's profile →
Citations per field
00.5×3.9×
Matilde Otero‐Losada · 1×
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-authorship network

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
#Work
1 20254
2 20243
3 20242
4 202437
5 20232
6 20183
7 20162
8
[Treating chronic persistent bronchial asthma children with abnormal myocardial enzyme spectrum by Yupingfeng powder: an efficacy observation].
20148
9
Effect of montelukast on the level of urine leukotriene E4 in children with bronchiolitis
20121
10 201122
11
A Meta analysis on the association of ALOX5AP gene SG13S114A/T polymorphism with ischemic stroke in Chinese population
20101
12 200918
13 200127
14 199815
15 1998108
16 199622
17 199522
18 1995259
19 199440
20 1992147

About Xiaohong Chen

Xiaohong Chen is a scholar working on Cellular and Molecular Neuroscience, Physiology and Pharmacology, having authored 22 papers that have together received 751 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (5 papers), Pain Mechanisms and Treatments (4 papers), Advanced battery technologies research (3 papers), Advanced Battery Materials and Technologies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Adipose Tissue and Metabolism (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Complementary and alternative medicine (121 citations), Physiology (359 citations) and Endocrine and Autonomic Systems (56 citations). Xiaohong Chen has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Günther Boden, N Iqbal, G. Boden, Martin W. Adler, Ellen B. Geller, Lee‐Yuan Liu‐Chen, Jill Adams, Ronald J. Tallarida, Daniel B. McClatchy and Martin W. Adler. Their work appears in journals such as Brain Research, Journal of Colloid and Interface Science, Medicine, Current Neuropharmacology and Diabetes.

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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