Qin An

877 citations
12 papers · 566 · h-index 10

Impact in

Papers in

    • Single-cell and spatial transcriptomics 5
    • Epigenetics and DNA Methylation 4
    • Molecular Biology Techniques and Applications 3
    • CRISPR and Genetic Engineering 3
    • Pluripotent Stem Cells Research 2
    • Cancer Genomics and Diagnostics 2

Qin An

12 papers receiving 557 citations

Peers

Qin An
Comparison fields: 5 of 71
  • Cancer Research 124
  • Biophysics 40
  • Molecular Biology 466
  • Obstetrics and Gynecology 27
  • Immunology 64
Replace Celia Alda-Catalinas with:
Celia Alda-Catalinas United Kingdom
Elaine P.S. Gee United States
Adrian J. McNairn United States
Emily Park United States
Catherine Chapuis France
Rosanna Beraldi United States
Christophe Royer United Kingdom
Lauren Liu United States
Ajit Tiwari United States
Jorge Larios Switzerland
Qin An relative to Celia Alda-Catalinas United Kingdom Celia Alda-Catalinas's profile →
Citations per field
00.5×
Celia Alda-Catalinas · 1×
Citations per year

Countries citing papers authored by Qin An

Since Specialization
Citations

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

Fields of papers citing papers by Qin An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2016219
2 2018120
3 201956
4 201940
5 201639
6 201923
7 201920
8 202017
9 202111
10 202110
11 20206
12 20085

About Qin An

Qin An is a scholar working on Molecular Biology, Cancer Research, Immunology, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 566 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Epigenetics and DNA Methylation (4 papers), Molecular Biology Techniques and Applications (3 papers), CRISPR and Genetic Engineering (3 papers), Cancer Genomics and Diagnostics (2 papers), Pluripotent Stem Cells Research (2 papers), interferon and immune responses (1 paper) and Corneal surgery and disorders (1 paper). The work is most often cited by research in Cancer Research (124 citations), Biophysics (40 citations), Molecular Biology (466 citations), Obstetrics and Gynecology (27 citations) and Immunology (64 citations). Qin An has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Youjin Hu, Guoping Fan, Zhigang Xue, Xianmin Zhu, Shuxin Fan, Kevin Huang, Guizhen Du, Jinfeng Xue, Ganlu Hu and Cun‐Yu Wang. Their work appears in journals such as Experimental Eye Research, PLoS Biology, Frontiers in Cell and Developmental Biology, Nature Communications and Stem Cell 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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