Xiaopan Chen

1.3k citations
50 papers · 1000 · h-index 20

Impact in

Papers in

    • Receptor Mechanisms and Signaling 5
    • Epigenetics and DNA Methylation 3
    • Pluripotent Stem Cells Research 3
    • Genomics, phytochemicals, and oxidative stress 3

Xiaopan Chen

47 papers receiving 992 citations

Peers

Xiaopan Chen
Comparison fields: 5 of 100
  • Reproductive Medicine 74
  • Cellular and Molecular Neuroscience 161
  • Endocrine and Autonomic Systems 45
  • Pharmacology 103
  • Pediatrics, Perinatology and Child Health 106
Replace Lindsay E. Wu with:
Lindsay E. Wu Australia
Xinyi Mu China
Jorge Domínguez Spain
Fabrice Chimienti France
Junko Yoshida Japan
Lingli Long China
Pedro Bausero France
William H. Hanneman United States
Prosenjit Mondal India
Shinsuke Nakamura Japan
Xiaopan Chen relative to Lindsay E. Wu Australia Lindsay E. Wu's profile →
Citations per field
00.5×4.1×
Lindsay E. Wu · 1×
Citations per year

Countries citing papers authored by Xiaopan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201393
2 201076
3 201367
4 200366
5 201055
6 201252
7 201343
8 201639
9 201537
10 201436
11 201535
12 201431
13 201729
14 201327
15 201526
16 202126
17 201726
18 201721
19 201219
20 201619

About Xiaopan Chen

Xiaopan Chen is a scholar working on Molecular Biology, Genetics, Reproductive Medicine, Pediatrics, Perinatology and Child Health and Immunology, having authored 50 papers that have together received 1000 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Prenatal Substance Exposure Effects (5 papers), Cannabis and Cannabinoid Research (3 papers), Epigenetics and DNA Methylation (3 papers), Pluripotent Stem Cells Research (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Endometriosis Research and Treatment (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Reproductive Medicine (74 citations), Cellular and Molecular Neuroscience (161 citations), Endocrine and Autonomic Systems (45 citations), Pharmacology (103 citations) and Pediatrics, Perinatology and Child Health (106 citations). Xiaopan Chen has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Shaoyu Chen, Naiming Zhou, Jingran Liu, Xiaoyang Wu, Wenke Feng, Xiaobai He, Jinhua Liu, Zigang Xu, Yuanchao Wang and Heyong Cheng. Their work appears in journals such as PLoS ONE, Reproductive Toxicology, Experimental Neurology, Oncotarget and Journal of Chromatography A.

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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