Shirui Chen

687 citations
17 papers · 437 · h-index 9

Impact in

  • Biophysics top 10%
    • Cell Image Analysis Techniques
    • Single-cell and spatial transcriptomics
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Renal and related cancers
    • Congenital heart defects research
    • Epigenetics and DNA Methylation
    • Molecular Biology Techniques and Applications

Papers in

Shirui Chen

16 papers receiving 436 citations

Peers

Shirui Chen
Comparison fields: 5 of 74
  • Biophysics 44
  • Molecular Biology 356
  • Aging 5
  • Cancer Research 39
  • Cell Biology 33
Replace Madhav Mantri with:
Madhav Mantri United States
David W. McKellar United States
Mylene Yao United States
Jennifer McKey United States
Sean Corbett United States
Rachel Cinco United States
Abigail Gibson Australia
Danyu Lu China
Marloes Blotenburg Netherlands
Leila Christie United Kingdom
Shirui Chen relative to Madhav Mantri United States Madhav Mantri's profile →
Citations per field
00.5×2.8×
Madhav Mantri · 1×
Citations per year

Countries citing papers authored by Shirui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shirui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2016166
2 2019158
3 201725
4 202113
5 202412
6 202011
7 201611
8 202211
9 201510
10 20227
11 20235
12 20242
13 20232
14 20202
15 20231
16 20251
17 20240

About Shirui Chen

Shirui Chen is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Cell Biology, Environmental Engineering and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 437 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (4 papers), Air Quality Monitoring and Forecasting (3 papers), Climate Change and Health Impacts (3 papers), Single-cell and spatial transcriptomics (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Pluripotent Stem Cells Research (2 papers), Cellular transport and secretion (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Biophysics (44 citations), Molecular Biology (356 citations), Aging (5 citations), Cancer Research (39 citations) and Cell Biology (33 citations). Shirui Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shengbao Suo, Naihe Jing, Jing‐Dong J. Han, Guizhong Cui, Guangdun Peng, Patrick Tam, Jun Chen, Ran Wang, Weiyang Chen and Na Sun. Their work appears in journals such as Nature, Developmental Cell, iScience, Nature Communications and Journal of Zhejiang University SCIENCE B.

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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