April Chan

4.5k citations
16 papers · 3.5k · 3 hit papers · h-index 14

Impact in

    • Plant Molecular Biology Research
    • Plant nutrient uptake and metabolism
  • Oncology top 5%
    • Cancer Cells and Metastasis

Papers in

April Chan

16 papers receiving 3.4k citations

April Chan's Hit Papers

A Comprehensive Human Gastric Cancer Organoid Biobank Captures Tumor Subtype Heterogeneity and Enables Therapeutic Screening 2018 · 589 citations
5890+7+14Years since publication250500750

Peers

April Chan
Comparison fields: 5 of 113
  • Plant Science 1.3k
  • Oncology 854
  • Cancer Research 433
  • Molecular Biology 1.8k
  • Pathology and Forensic Medicine 237
Replace Koji Yamaguchi with:
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April Chan relative to Koji Yamaguchi Japan Koji Yamaguchi's profile →
Citations per field
00.5×2×3.4×
Koji Yamaguchi · 1×
Citations per year

Countries citing papers authored by April Chan

Since Specialization
Citations

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

Fields of papers citing papers by April Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Functional Genomic Analysis of the AUXIN RESPONSE FACTOR Gene Family Members in Arabidopsis thaliana : Unique and Overlapping Functions of ARF7 and ARF19
Hit paper breakdown →
2005925
2
Whole-genome sequencing and comprehensive molecular profiling identify new driver mutations in gastric cancer
Hit paper breakdown →
2014886
3
A Comprehensive Human Gastric Cancer Organoid Biobank Captures Tumor Subtype Heterogeneity and Enables Therapeutic Screening
Hit paper breakdown →
2018589
4 2005324
5 2000210
6 2004142
7 201597
8 202396
9 202086
10 200927
11 201826
12 202419
13 202217
14 200617
15 20199
16 20213

About April Chan

April Chan is a scholar working on Oncology, Cancer Research, Biotechnology, Molecular Biology and Immunology, having authored 16 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Research and Treatments (2 papers), Plant Reproductive Biology (2 papers), Plant Molecular Biology Research (2 papers), RNA modifications and cancer (2 papers), Genomics and Phylogenetic Studies (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Plant Science (1.3k citations), Oncology (854 citations), Cancer Research (433 citations), Molecular Biology (1.8k citations) and Pathology and Forensic Medicine (237 citations). April Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Athanasios Theologis, Courtney S. Onodera, Yoko Okushima, Alison M. Smith, Paul J. Overvoorde, Hong Quach, Guixia Yu, Joseph R. Ecker, José M. Alonso and Diana Nguyen. Their work appears in journals such as Gut, Cell stem cell, The Plant Cell, Cancer Cell and Nature Genetics.

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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