Pui K. Chan

822 citations
18 papers · 756 indexed · h-index 12

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • Retinoids in leukemia and cellular processes
    • Nuclear Structure and Function

Papers in

    • RNA modifications and cancer 6
    • RNA Interference and Gene Delivery 5
    • Biochemical and Molecular Research 5
    • RNA Research and Splicing 4
    • DNA and Nucleic Acid Chemistry 3
    • RNA and protein synthesis mechanisms 3
    • Advanced biosensing and bioanalysis techniques 3
    • Virus-based gene therapy research 4

Pui K. Chan

18 papers receiving 743 citations

Peers

Pui K. Chan
Comparison fields: 5 of 61
  • Hematology 156
  • Molecular Biology 629
  • Oncology 157
  • Genetics 49
  • Pathology and Forensic Medicine 80
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Pui K. Chan relative to Thomas M. Yung United States Thomas M. Yung's profile →
Citations per field
00.5×4.4×
Thomas M. Yung · 1×
Citations per year

Countries citing papers authored by Pui K. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Pui K. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pui K. Chan. 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 Pui K. Chan. The network helps show where Pui K. Chan may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 20043
2 20018
3 199998
4 199932
5 199966
6 19992
7 19977
8
Structural and functional relationships of toyocamycin on NPM-translocation.
199712
9 199621
10 199550
11 19956
12 199317
13 199257
14 19927
15 199159
16 1989255
17
Cross-linkage of nucleophosmin in tumor cells by nitrogen mustard.
198937
18 198819

About Pui K. Chan

Pui K. Chan is a scholar working on Molecular Biology, Genetics, Hematology, Cancer Research and Cell Biology, having authored 18 papers that have together received 756 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), RNA Interference and Gene Delivery (5 papers), Biochemical and Molecular Research (5 papers), Virus-based gene therapy research (4 papers), RNA Research and Splicing (4 papers), DNA and Nucleic Acid Chemistry (3 papers), RNA and protein synthesis mechanisms (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Hematology (156 citations), Molecular Biology (629 citations), Oncology (157 citations), Genetics (49 citations) and Pathology and Forensic Medicine (80 citations). Pui K. Chan has collaborated with scholars based in United States, Czechia and Hong Kong. Frequent co-authors include Qing‐Rong Liu, Fung Yee Chan, Jimo Borjigin, Owen M. Rennert, Wai‐Yee Chan, H. Busch, Rick A. Finch, Jonathan I. Epstein, Eric N.P. Subong and Joseph V. Briggman. Their work appears in journals such as The Prostate, Life Sciences, European Journal of Biochemistry, DNA and Cell Biology and Biochemical Pharmacology.

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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