Saki Chan

3.9k citations
5 papers · 240 · h-index 4

Impact in

Papers in

    • Genomics and Phylogenetic Studies 3
    • Genetics, Bioinformatics, and Biomedical Research 1
    • RNA and protein synthesis mechanisms 1
    • Chromosomal and Genetic Variations 2
    • Plant Disease Resistance and Genetics 2
    • Wheat and Barley Genetics and Pathology 1

Saki Chan

5 papers receiving 239 citations

Peers

Saki Chan
Comparison fields: 5 of 54
  • Structural Biology 5
  • Genetics 79
  • Plant Science 86
  • Molecular Biology 128
  • Cancer Research 21
Replace Davide Carnevali with:
Davide Carnevali Italy
Xiang Ren China
Cristina Ferrás Portugal
Jiaman Zhang China
Michael T. Kalmbach United States
Nicolas Greliche France
Carlos Martí‐Gómez United States
Trevor Pesout United States
Sairam Behera United States
Jochen Gerber Germany
Saki Chan relative to Davide Carnevali Italy Davide Carnevali's profile →
Citations per field
00.5×3.3×
Davide Carnevali · 1×
Citations per year

Countries citing papers authored by Saki Chan

Since Specialization
Citations

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

Fields of papers citing papers by Saki Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2014106
2 201665
3 201857
4 201811
5
BioNano genome mapping of individual chromosomes supports physical mapping and sequence assembly in complex plant genomes
20161

About Saki Chan

Saki Chan is a scholar working on Molecular Biology, Plant Science, Genetics, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 240 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Chromosomal and Genetic Variations (2 papers), Plant Disease Resistance and Genetics (2 papers), Wheat and Barley Genetics and Pathology (1 paper), BRCA gene mutations in cancer (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Structural Biology (5 citations), Genetics (79 citations), Plant Science (86 citations), Molecular Biology (128 citations) and Cancer Research (21 citations). Saki Chan has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Alex Hastie, Han Cao, Ernest T. Lam, Michael Saghbini, Sven Bocklandt, Yuhui Sun, Dandan Cao, Xiao Liu, Haodong Huang and Huanming Yang. Their work appears in journals such as Plant Biotechnology Journal, Breast Cancer Research and Treatment, GigaScience, Methods in molecular biology and QUT ePrints (Queensland University of Technology).

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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