Stephen C.Y. Ip

1.2k citations
15 papers · 932 · h-index 12

Impact in

  • Aging top 10%
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • DNA and Nucleic Acid Chemistry

Papers in

    • DNA Repair Mechanisms 4
    • Molecular Biology Techniques and Applications 4
    • CRISPR and Genetic Engineering 3
    • DNA and Nucleic Acid Chemistry 2
    • Forensic and Genetic Research 6
    • Animal Genetics and Reproduction 2

Stephen C.Y. Ip

14 papers receiving 921 citations

Peers

Stephen C.Y. Ip
Comparison fields: 5 of 88
  • Aging 33
  • Molecular Biology 773
  • Genetics 252
  • Cancer Research 89
  • Cell Biology 92
Replace R. Alex Wu with:
R. Alex Wu United States
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Gökhan Tolun United States
Moreshwar B. Vaze United States
Lamia Wahba United States
Mary B. Kroetz United States
Evelyn Sauer Switzerland
Claire Basquin Germany
Seungsoo Kim United States
Aziz El Hage United Kingdom
Stephen C.Y. Ip relative to R. Alex Wu United States R. Alex Wu's profile →
Citations per field
00.5×1.6×
R. Alex Wu · 1×
Citations per year

Countries citing papers authored by Stephen C.Y. Ip

Since Specialization
Citations

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

Fields of papers citing papers by Stephen C.Y. Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen C.Y. Ip. 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 Stephen C.Y. Ip. The network helps show where Stephen C.Y. Ip may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2008315
2 2010128
3 200993
4 201084
5 200775
6 200367
7 201563
8 200133
9 201724
10 201720
11 200411
12 201411
13 20166
14 20201
15 20151

About Stephen C.Y. Ip

Stephen C.Y. Ip is a scholar working on Molecular Biology, Genetics, Ecology, Safety Research and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 932 indexed citations. Recurring topics across this work include Forensic and Genetic Research (6 papers), DNA Repair Mechanisms (4 papers), Molecular Biology Techniques and Applications (4 papers), Environmental DNA in Biodiversity Studies (3 papers), CRISPR and Genetic Engineering (3 papers), Animal Genetics and Reproduction (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Aging (33 citations), Molecular Biology (773 citations), Genetics (252 citations), Cancer Research (89 citations) and Cell Biology (92 citations). Stephen C.Y. Ip has collaborated with scholars based in United Kingdom, Hong Kong and France. Frequent co-authors include Stephen C. West, Miguel G. Blanco, Ulrich Rass, Mark Skehel, Helen R. Flynn, Joao Matos, Migena Bregu, Christina Li, François‐Xavier Barre and Jack D. Griffith. Their work appears in journals such as The EMBO Journal, Experimental Biology and Medicine, Science & Justice, Forensic Science International Genetics and Nature.

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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