Ian Yu

1.5k citations
8 papers · 366 · h-index 5

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

Papers in

    • Microtubule and mitosis dynamics 3
    • Ubiquitin and proteasome pathways 3
    • Glycosylation and Glycoproteins Research 2
    • Biomedical Text Mining and Ontologies 1
    • Extracellular vesicles in disease 1

Ian Yu

8 papers receiving 356 citations

Peers

Ian Yu
Comparison fields: 5 of 74
  • Cell Biology 165
  • Molecular Biology 235
  • Aging 5
  • Health Informatics 4
  • Genetics 45
Replace Sandeep Ayyar with:
Sandeep Ayyar United States
Ken Chen China
Wendy Filsell United Kingdom
Jignesh Bhate United States
Carla M. Mann United States
Konstantinos Koutroumpas Switzerland
Sabrina Krueger United States
Paul Brazhnik United States
Omer Goldman Israel
Valentine Rech de Laval Switzerland
Ian Yu relative to Sandeep Ayyar United States Sandeep Ayyar's profile →
Citations per field
00.5×2×3.3×
Sandeep Ayyar · 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 18 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

8 of 8 papers shown
#Work
1 2015144
2 201583
3 201357
4 202351
5 201722
6 20134
7
The Determinants of Audit Fees: An Empirical Analysis in China
20043
8 20182

About Ian Yu

Ian Yu is a scholar working on Cell Biology, Molecular Biology, Cancer Research, Oncology and Organic Chemistry, having authored 8 papers that have together received 366 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Ubiquitin and proteasome pathways (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer-related molecular mechanisms research (1 paper), Biomedical Text Mining and Ontologies (1 paper), Extracellular vesicles in disease (1 paper), Cancer-related Molecular Pathways (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Cell Biology (165 citations), Molecular Biology (235 citations), Aging (5 citations), Health Informatics (4 citations) and Genetics (45 citations). Ian Yu has collaborated with scholars based in United States and China. Frequent co-authors include Christopher P. Garnham, Antonina Roll‐Mecak, Christopher Berndsen, Reuven Wiener, Alison Epstein Ringel, Cynthia Wolberger, Elizabeth M. Wilson-Kubalek, Agnieszka Szyk, Ronald A. Milligan and Gabriel C. Lander. Their work appears in journals such as Nature Chemical Biology, Journal of Biological Chemistry, Cell, Experimental Hematology and Proceedings of the National Academy of Sciences.

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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