Xiaochen Sun

1.0k citations
24 papers · 677 · h-index 13

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 4
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Genomics and Phylogenetic Studies 2

Xiaochen Sun

22 papers receiving 663 citations

Peers

Xiaochen Sun
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 220
  • Cognitive Neuroscience 184
  • Behavioral Neuroscience 27
  • Developmental Neuroscience 29
  • Neurology 54
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Citations per field
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Citations per year

Countries citing papers authored by Xiaochen Sun

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaochen Sun, 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 Xiaochen Sun Line = papers co-authored together Xiaochen Sun 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 2020163
2 2016137
3 2009110
4 201150
5 201228
6 201428
7 201227
8 200727
9 201618
10 202217
11 201516
12 201715
13 201713
14 20227
15 20245
16 20164
17 20193
18 20213
19 20212
20
[Opportune time and method of reconstruction of penile defects caused by devastating electrical burn].
20142

About Xiaochen Sun

Xiaochen Sun is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Urology and Cognitive Neuroscience, having authored 24 papers that have together received 677 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetics and Plant Breeding (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Periodontal Regeneration and Treatments (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (220 citations), Cognitive Neuroscience (184 citations), Behavioral Neuroscience (27 citations), Developmental Neuroscience (29 citations) and Neurology (54 citations). Xiaochen Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yingxi Lin, Lionel C. Kimerling, Jifeng Liu, Jürgen Michel, Rohan L. Fernando, Jack C. M. Dekkers, Dorian J. Garrick, Siyuan Rao, Polina Anikeeva and Andreas T. Sørensen. Their work appears in journals such as Neuropsychopharmacology, British Journal of Cancer, Scientific Reports, Schizophrenia Research and Cell.

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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