Ian Yu

534 citations
7 papers · 303 · h-index 4

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
    • Ubiquitin and proteasome pathways
    • Protist diversity and phylogeny
    • Photosynthetic Processes and Mechanisms
    • 14-3-3 protein interactions

Papers in

    • Ubiquitin and proteasome pathways 3
    • Glycosylation and Glycoproteins Research 2
    • Epigenetics and DNA Methylation 1
    • Microtubule and mitosis dynamics 3

Ian Yu

7 papers receiving 297 citations

Peers

Ian Yu
Comparison fields: 5 of 54
  • Cell Biology 163
  • Molecular Biology 233
  • Aging 5
  • Genetics 48
  • Developmental Neuroscience 5
Replace Azusa Seto with:
Azusa Seto Japan
Annapurna Vemu United States
M. Vergnolle United Kingdom
Aleš Obrdlík Sweden
Sylvain Meunier Spain
Nachen Yang United States
L W Jiang United States
Koki Watanabe Japan
Athanassios Adamopoulos Netherlands
Joseph Dopie Finland
Ian Yu relative to Azusa Seto Japan Azusa Seto's profile →
Citations per field
00.5×3.8×
Azusa Seto · 1×
Citations per year

Countries citing papers authored by Ian Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ian Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Ian Yu, 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 Ian Yu Line = papers co-authored together Ian Yu links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown

About Ian Yu

Ian Yu is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 303 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Microtubule and mitosis dynamics (3 papers), Glycosylation and Glycoproteins Research (2 papers), Epigenetics and DNA Methylation (1 paper), Sexual function and dysfunction studies (1 paper), Diabetes Management and Research (1 paper), Carbohydrate Chemistry and Synthesis (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Cell Biology (163 citations), Molecular Biology (233 citations), Aging (5 citations), Genetics (48 citations) and Developmental Neuroscience (5 citations). Ian Yu has collaborated with scholars based in United States and China. Frequent co-authors include Antonina Roll‐Mecak, Christopher P. Garnham, Alison E. Ringel, Reuven Wiener, Cynthia Wolberger, Christopher Berndsen, Elizabeth M. Wilson-Kubalek, Ronald A. Milligan, Agnieszka Szyk and Gabriel C. Lander. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Chemical Biology, Cell, Journal of Biological Chemistry and Female Pelvic Medicine & Reconstructive Surgery.

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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