Albert Wai

483 citations
10 papers · 399 · h-index 9

Impact in

Papers in

    • Genomics and Chromatin Dynamics 3
    • Epigenetics and DNA Methylation 3
    • CRISPR and Genetic Engineering 3
    • Hemoglobinopathies and Related Disorders 3

Albert Wai

10 papers receiving 394 citations

Peers

Albert Wai
Comparison fields: 5 of 73
  • Health, Toxicology and Mutagenesis 113
  • Genetics 60
  • Cell Biology 73
  • Aquatic Science 29
  • Hematology 34
Replace Monika Andersson‐Lendahl with:
Monika Andersson‐Lendahl Sweden
Jing‐Xia Liu China
Herbert M. Espinoza United States
Lucy Byrnes Ireland
Bhaja K. Padhi Canada
Alessandra Pica Italy
Catarina M. Henriques United Kingdom
Leif C. Lindeman Norway
Matthew W. Grow United States
Amy DeMicco United States
Albert Wai relative to Monika Andersson‐Lendahl Sweden Monika Andersson‐Lendahl's profile →
Citations per field
00.5×4.9×
Monika Andersson‐Lendahl · 1×
Citations per year

Countries citing papers authored by Albert Wai

Since Specialization
Citations

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

Fields of papers citing papers by Albert Wai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2000170
2 200349
3 200738
4 200336
5 199836
6 199525
7 200322
8 200014
9 20088
10 20061

About Albert Wai

Albert Wai is a scholar working on Molecular Biology, Genetics, Health, Toxicology and Mutagenesis, Rheumatology and Physiology, having authored 10 papers that have together received 399 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (3 papers), Hemoglobinopathies and Related Disorders (3 papers), CRISPR and Genetic Engineering (3 papers), Erythrocyte Function and Pathophysiology (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers) and Heavy Metal Exposure and Toxicity (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (113 citations), Genetics (60 citations), Cell Biology (73 citations), Aquatic Science (29 citations) and Hematology (34 citations). Albert Wai has collaborated with scholars based in Hong Kong, Netherlands and Japan. Frequent co-authors include Rudolf S.S. Wu, Shuk Han Cheng, Frank Grosveld, Sjaak Philipsen, An Langeveld, Dubravka Drabek, Kathryn S.E. Cheah, Nynke Gillemans, Yoshihiko Yamada and Hideto Watanabe. Their work appears in journals such as Blood, Environmental Toxicology and Chemistry, The EMBO Journal, Blood Cells Molecules and Diseases and The Journal of Cell Biology.

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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