Wayland Yeung

1.2k citations
38 papers · 754 indexed · h-index 15
    • Genomics and Phylogenetic Studies 6
    • Protein Kinase Regulation and GTPase Signaling 6
    • Machine Learning in Bioinformatics 5
    • Protein Structure and Dynamics 5
    • Bioinformatics and Genomic Networks 5
    • Advanced biosensing and bioanalysis techniques 5
    • RNA and protein synthesis mechanisms 5
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics 6

Wayland Yeung

36 papers receiving 747 citations

Peers

Wayland Yeung
Comparison fields: 5 of 93
  • Molecular Biology 607
  • Cell Biology 143
  • Immunology 91
  • Aging 6
  • Computational Theory and Mathematics 45
Replace Jianping Liu with:
Jianping Liu China
Quan Chen China
Christopher J. Giuliano United States
Satra Nim Canada
Alexander Gozman United States
Suman Chatterjee United States
Samiksha Katiyar United States
Byung Hak Ha United States
Namjin Chung United States
Christine Wurth Switzerland
Wayland Yeung relative to Jianping Liu China Jianping Liu's profile →
Citations per field
00.5×1.5×
Jianping Liu · 1×
Citations per year

Countries citing papers authored by Wayland Yeung

Since Specialization
Citations

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

Fields of papers citing papers by Wayland Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20240
4 20237
5 20239
6 202319
7 202315
8 20225
9 202113
10 202172
11 202135
12 202170
13 202045
14 20207
15 202010
16 201924
17 20196
18 201766
19 201625
20 20168

About Wayland Yeung

Wayland Yeung is a scholar working on Cell Biology, Geriatrics and Gerontology, Molecular Biology, Computational Theory and Mathematics and Physiology, having authored 38 papers that have together received 754 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Genomics and Phylogenetic Studies (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Machine Learning in Bioinformatics (5 papers), Protein Structure and Dynamics (5 papers), Bioinformatics and Genomic Networks (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Molecular Biology (607 citations), Cell Biology (143 citations), Immunology (91 citations), Aging (6 citations) and Computational Theory and Mathematics (45 citations). Wayland Yeung has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Natarajan Kannan, Dehui Kong, Ryan Hili, Rahil Taujale, Sheng Li, Zhongliang Zhou, Patrick A. Eyers, Aarya Venkat, Kelley W. Moremen and Liang‐Chin Huang. Their work appears in journals such as eLife, Nature Communications, Science Signaling, BMC Bioinformatics and Bioinformatics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026