Xiaoyu Qin

1.4k citations
21 papers · 824 indexed · 2 hit papers · h-index 12
    • Cancer-related molecular mechanisms research 12
    • MicroRNA in disease regulation 5
  • Biophysics top 5%
    • Single-cell and spatial transcriptomics 4
    • Circular RNAs in diseases 4
    • RNA Research and Splicing 4
    • RNA modifications and cancer 3
    • Molecular Biology Techniques and Applications 2
  • Genetics top 10%
    • Genetic and phenotypic traits in livestock 4

Xiaoyu Qin

21 papers receiving 816 citations

Hit Papers

High-plex protein and whole transcriptome co-mapping at c...184202220262023202450100150

Peers

Xiaoyu Qin
Comparison fields: 5 of 86
  • Cancer Research 352
  • Biophysics 51
  • Molecular Biology 581
  • Genetics 209
  • Agronomy and Crop Science 72
Replace Lin Shan with:
Lin Shan China
Siew Lan Lim Singapore
Diana S. Berard United States
A. Lefèvre France
Alicia Amadoz Spain
Rosamaria Mangiacasale Italy
Abel C.S. Chun Hong Kong
Natalia Vydra Poland
Lisheng Dai China
Vera Sonntag-Buck Germany
Xiaoyu Qin relative to Lin Shan China Lin Shan's profile →
Citations per field
00.5×10×20×30×38×
Lin Shan · 1×
Citations per year

Countries citing papers authored by Xiaoyu Qin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20256
3
High-plex protein and whole transcriptome co-mapping at cellular resolution with spatial CITE-seqbreakdown →
2023184
4 20232
5 20234
6
Spatial profiling of chromatin accessibility in mouse and human tissuesbreakdown →
2022199
7 202135
8 20209
9 202015
10 20201
11 20184
12 20189
13 201724
14 201634
15 201660
16 201631
17 201665
18 201543
19 201540
20 201555

About Xiaoyu Qin

Xiaoyu Qin is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 21 papers that have together received 824 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (5 papers), Single-cell and spatial transcriptomics (4 papers), Genetic and phenotypic traits in livestock (4 papers), Circular RNAs in diseases (4 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (352 citations), Biophysics (51 citations) and Molecular Biology (581 citations). Xiaoyu Qin has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Qingmiao Luo, Xiangyang Miao, Huijing Zhao, Rong Fan, Yang Liu, Yanxiang Deng, Graham Su, Juntao Guo, Mina L. Xu and Joseph Craft. Their work appears in journals such as Nature, Nature Biotechnology and Scientific Reports.

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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