Chee Gee See
Impact in
- Sensory Systems top 2%
- Ion Channels and Receptors
-
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 2
- Genomics and Chromatin Dynamics 2
- Glycosylation and Glycoproteins Research 2
- Genetics 4
- Genomic variations and chromosomal abnormalities 2
- Co-authors
- P. Facer (1 shared paper)Michael Costigan (1 shared paper)Praveen Anand (1 shared paper)Daniel Crowther (1 shared paper)Simon Tate (1 shared paper)Christopher Plumpton (1 shared paper)Clifford J. Woolf (1 shared paper)Philippe Sanséau (1 shared paper)
- Journals
- Genomics (10 papers)Gene (1 paper)Physiological Genomics (1 paper)FEBS Letters (1 paper)Biochemical Society Transactions (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Chee Gee See
14 papers receiving 432 citations
Peers
Comparison fields: 5 of 72
- Sensory Systems 157
- Pharmacology 37
- Endocrine and Autonomic Systems 26
- Aging 6
- Physiology 15
Countries citing papers authored by Chee Gee See
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 190 | |
| 2 | 1994 | 57 | |
| 3 | 1996 | 35 | |
| 4 | 1994 | 31 | |
| 5 | 1994 | 29 | |
| 6 | 1994 | 16 | |
| 7 | 1995 | 15 | |
| 8 | 1995 | 15 | |
| 9 | 1994 | 13 | |
| 10 | 1998 | 12 | |
| 11 | 2000 | 10 | |
| 12 | 1994 | 9 | |
| 13 | 1997 | 7 | |
| 14 | 1994 | 3 |
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 14 papers that have together received 442 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (2 papers), Genomics and Chromatin Dynamics (2 papers), Glycosylation and Glycoproteins Research (2 papers), Chromosomal and Genetic Variations (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Skin and Cellular Biology Research (1 paper), Cell Adhesion Molecules Research (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Sensory Systems (157 citations), Pharmacology (37 citations), Endocrine and Autonomic Systems (26 citations), Aging (6 citations) and Physiology (15 citations). Chee Gee See has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include P. Facer, Michael Costigan, Praveen Anand, Daniel Crowther, Simon Tate, Christopher Plumpton, Clifford J. Woolf, Philippe Sanséau, Brian Burchell and Douglas J. Clarke. Their work appears in journals such as Genomics, Gene, Physiological Genomics, FEBS Letters and Biochemical Society Transactions.
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.