Chee Gee See

837 citations
15 papers · 484 · h-index 11

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Metabolism, Diabetes, and Cancer 2
    • Genomics and Chromatin Dynamics 2
    • Fungal and yeast genetics research 1
    • Genomic variations and chromosomal abnormalities 3
    • Genetics and Neurodevelopmental Disorders 1

Chee Gee See

15 papers receiving 465 citations

Peers

Chee Gee See
Comparison fields: 5 of 70
  • Sensory Systems 174
  • Nutrition and Dietetics 66
  • Pharmacology 35
  • Endocrine and Autonomic Systems 26
  • Aging 7
Replace Xing-Zhen Chen with:
Xing-Zhen Chen Canada
Felicia Ranta Germany
Rohit Kulkarni United States
Katharina Mahn United Kingdom
Judd W. Landsberg United States
Meerim K. Nurbaeva Germany
Birgit Salanova Germany
Yasuhiro Kawarabayashi Japan
Ceredwyn E. Hill Canada
Soledad Porte Alcón Argentina
Chee Gee See relative to Xing-Zhen Chen Canada Xing-Zhen Chen's profile →
Citations per field
00.5×
Xing-Zhen Chen · 1×
Citations per year

Countries citing papers authored by Chee Gee See

Since Specialization
Citations

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

Fields of papers citing papers by Chee Gee See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee Gee See. 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 Chee Gee See. The network helps show where Chee Gee See may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2001212
2 199458
3 199637
4 199432
5 199429
6 199427
7 199517
8 199515
9 199413
10 199813
11 200010
12 19949
13 19977
14 19943
15 20012

About Chee Gee See

Chee Gee See is a scholar working on Molecular Biology, Genetics, Plant Science, Cellular and Molecular Neuroscience and Dermatology, having authored 15 papers that have together received 484 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (3 papers), Chromosomal and Genetic Variations (3 papers), Glycosylation and Glycoproteins Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Genomics and Chromatin Dynamics (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Fungal and yeast genetics research (1 paper) and Plant Disease Resistance and Genetics (1 paper). The work is most often cited by research in Sensory Systems (174 citations), Nutrition and Dietetics (66 citations), Pharmacology (35 citations), Endocrine and Autonomic Systems (26 citations) and Aging (7 citations). Chee Gee See has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Simon Tate, Christopher Plumpton, Clifford J. Woolf, Philippe Sanséau, Daniel Crowther, Praveen Anand, Michael Costigan, P. Facer, Douglas J. Clarke and Brian Burchell. Their work appears in journals such as Genomics, Physiological Genomics, Gene, Biochemical Society Transactions and FEBS Letters.

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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