Xiaopan Chen

1.3k citations
51 papers · 1.1k · h-index 20

Impact in

Papers in

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

Xiaopan Chen

48 papers receiving 1.1k citations

Peers

Xiaopan Chen
Comparison fields: 5 of 102
  • Reproductive Medicine 78
  • Cellular and Molecular Neuroscience 168
  • Endocrine and Autonomic Systems 48
  • Pharmacology 110
  • Molecular Biology 433
Replace Xinyi Mu with:
Xinyi Mu China
Jorge E. Domínguez Spain
Lianyun Wang China
Junko Yoshida Japan
Fabrice Chimienti France
Lingli Long China
Geri L. Youngblood United States
Baoshan Xu United States
Walid Rachidi France
Prosenjit Mondal India
Xiaopan Chen relative to Xinyi Mu China Xinyi Mu's profile →
Citations per field
00.5×2×3×4.1×
Xinyi Mu · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201395
2 201081
3 201370
4 200366
5 201061
6 201254
7 201345
8 201642
9 201541
10 201540
11 201437
12 201432
13 201330
14 201730
15 201529
16 201729
17 202129
18 201621
19 201721
20 201220

About Xiaopan Chen

Xiaopan Chen is a scholar working on Reproductive Medicine, Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prenatal Substance Exposure Effects (5 papers), Receptor Mechanisms and Signaling (5 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Ovarian function and disorders (3 papers), Pluripotent Stem Cells Research (3 papers), Epigenetics and DNA Methylation (3 papers), Cannabis and Cannabinoid Research (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Reproductive Medicine (78 citations), Cellular and Molecular Neuroscience (168 citations), Endocrine and Autonomic Systems (48 citations), Pharmacology (110 citations) and Molecular Biology (433 citations). Xiaopan Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shao‐yu Chen, Naiming Zhou, Jingran Liu, Xiaoyang Wu, Wenke Feng, Xiaobai He, Jie Liu, Yuanchao Wang, Jinhua Liu and Heyong Cheng. Their work appears in journals such as Climacteric, Journal of Chromatography A, Experimental Neurology, Reproductive Toxicology and British Journal of Pharmacology.

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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