Edwin Yau

4.8k citations
35 papers · 577 · h-index 13

Impact in

Papers in

    • CRISPR and Genetic Engineering 9
    • Advanced biosensing and bioanalysis techniques 8
    • RNA Interference and Gene Delivery 5
    • RNA and protein synthesis mechanisms 5
    • RNA Research and Splicing 3
    • RNA modifications and cancer 3

Edwin Yau

29 papers receiving 558 citations

Peers

Edwin Yau
Comparison fields: 5 of 92
  • Cancer Research 100
  • Aging 10
  • Virology 24
  • Immunology 100
  • Molecular Biology 289
Replace Yu‐Chi Chou with:
Yu‐Chi Chou Taiwan
Yuqi Zhou China
Sujayita Roy United States
Giuseppe Belardo Italy
Darya A. Haas Germany
Yue Peng China
Chunyan Hu China
Shi Liu China
Weiyi Li China
Shabirul Haque United States
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Citations per field
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Citations per year

Countries citing papers authored by Edwin Yau

Since Specialization
Citations

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

Fields of papers citing papers by Edwin Yau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201786
2 202076
3 200463
4 201959
5 201647
6 202234
7 201731
8 198830
9 200327
10
Influence of phytostanol phosphoryl ascorbate, FM-VP4, on pancreatic lipase activity and cholesterol accumulation within Caco-2 cells.
200219
11 202014
12 200813
13 200712
14 201611
15 201110
16 20229
17 20037
18 20115
19 20194
20 20243

About Edwin Yau

Edwin Yau is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 35 papers that have together received 577 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Advanced biosensing and bioanalysis techniques (8 papers), RNA Interference and Gene Delivery (5 papers), RNA and protein synthesis mechanisms (5 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (100 citations), Aging (10 citations), Virology (24 citations), Immunology (100 citations) and Molecular Biology (289 citations). Edwin Yau has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Tariq M. Rana, Gianluigi Lichinchi, Kishor M. Wasan, Jack M. Sullivan, Rachel Tang, Indrasena Reddy Kummetha, Yunlin Zhang, Shashi Kant Tiwari, Qiong Zhang and Kung‐Yen Chang. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Cancer Research, Journal of Thoracic Oncology, Experimental Eye Research and Antimicrobial Agents and Chemotherapy.

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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