Iris Cheung

1.5k citations
15 papers · 1.2k indexed · h-index 13

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Epigenetics and DNA Methylation
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • DNA and Nucleic Acid Chemistry
    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering

Papers in

    • Genetics and Neurodevelopmental Disorders 6
    • Genomic variations and chromosomal abnormalities 2

Iris Cheung

15 papers receiving 1.1k citations

Peers

Iris Cheung
Comparison fields: 5 of 90
  • Aging 84
  • Molecular Biology 956
  • Genetics 298
  • Cancer Research 101
  • Biological Psychiatry 16
Replace Hongyu Ruan with:
Hongyu Ruan United States
Jean‐Pierre Etchegaray United States
Audrey S. Dickey United States
Yidong Shen China
Kevin M. Bowling United States
Sean Chen United States
Alex Plocik United States
Laura A. Berkowitz United States
Jong‐So Kim South Korea
Attila Steták Switzerland
Iris Cheung relative to Hongyu Ruan United States Hongyu Ruan's profile →
Citations per field
00.5×1.5×1.9×
Hongyu Ruan · 1×
Citations per year

Countries citing papers authored by Iris Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Iris Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2002216
2 2010175
3 2005131
4 2015114
5 201293
6 200588
7 201167
8 201465
9 201354
10 201450
11 200640
12 197725
13 201319
14 20108
15 20107

About Iris Cheung

Iris Cheung is a scholar working on Aging, Genetics, Molecular Biology, Biotechnology and Developmental and Educational Psychology, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (6 papers), Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (5 papers), DNA Repair Mechanisms (3 papers), RNA and protein synthesis mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers), Ubiquitin and proteasome pathways (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Aging (84 citations), Molecular Biology (956 citations), Genetics (298 citations), Cancer Research (101 citations) and Biological Psychiatry (16 citations). Iris Cheung has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Schahram Akbarian, Ann M. Rose, Michael Schertzer, Peter M. Lansdorp, Zhiping Weng, Hennady P. Shulha, Yan Jiang, Francisco J. Asturias, Anouch Matevossian and Jie Wang. Their work appears in journals such as Nature Structural & Molecular Biology, Experimental Neurology, Nature Genetics, PLoS Biology and Autism Research.

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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