Chee Sian Gan

1.4k total citations
18 papers, 1.2k citations indexed

About

Chee Sian Gan is a scholar working on Molecular Biology, Spectroscopy and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chee Sian Gan has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Spectroscopy and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chee Sian Gan's work include Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Chee Sian Gan is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Chee Sian Gan collaborates with scholars based in Singapore, United Kingdom and United States. Chee Sian Gan's co-authors include Phillip C. Wright, Poh Kuan Chong, Trong Khoa Pham, Siu Kwan Sze, Kenneth F. Reardon, Tiannan Guo, Huoming Zhang, Sai Kiang Lim, Ishtiaq Rehman and Adam Glen and has published in prestigious journals such as Cellular and Molecular Life Sciences, Molecular & Cellular Proteomics and Journal of Proteome Research.

In The Last Decade

Chee Sian Gan

18 papers receiving 1.2k citations

Peers

Chee Sian Gan
Poh Kuan Chong United Kingdom
Daniel Schaeffer United States
Saw Yen Ow United Kingdom
Sean L. Seymour United States
Lily Ting United States
Poh Kuan Chong United Kingdom
Chee Sian Gan
Citations per year, relative to Chee Sian Gan Chee Sian Gan (= 1×) peers Poh Kuan Chong

Countries citing papers authored by Chee Sian Gan

Since Specialization
Citations

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

Fields of papers citing papers by Chee Sian Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chee Sian Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Chee Sian Gan. A scholar is included among the top collaborators of Chee Sian Gan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chee Sian Gan. Chee Sian Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Fuszard, Matthew, Saw Yen Ow, Chee Sian Gan, et al.. (2013). The quantitative proteomic response of Synechocystis sp. PCC6803 to phosphate acclimation. PubMed. 9(1). 5–5. 25 indexed citations
2.
Ren, Yan, Piliang Hao, Bamaprasad Dutta, et al.. (2012). Hypoxia Modulates A431 Cellular Pathways Association to Tumor Radioresistance and Enhanced Migration Revealed by Comprehensive Proteomic and Functional Studies. Molecular & Cellular Proteomics. 12(2). 485–498. 63 indexed citations
3.
Singh, Pritpal, et al.. (2011). Investigation of POPX2 phosphatase functions by comparative phosphoproteomic analysis. PROTEOMICS. 11(14). 2891–2900. 20 indexed citations
4.
Kuss, Claudia, Chee Sian Gan, Karthigayan Gunalan, et al.. (2011). Quantitative Proteomics Reveals New Insights into Erythrocyte Invasion by Plasmodium falciparum. Molecular & Cellular Proteomics. 11(2). M111.010645–M111.010645. 21 indexed citations
5.
Hennessy, Thomas, Chee Sian Gan, Robin Philp, et al.. (2011). Characterization of the Human Gastric Fluid Proteome Reveals Distinct pH-Dependent Protein Profiles: Implications for Biomarker Studies. Journal of Proteome Research. 10(10). 4535–4546. 20 indexed citations
6.
Glen, Adam, Caroline A. Evans, Chee Sian Gan, et al.. (2010). Eight‐plex iTRAQ analysis of variant metastatic human prostate cancer cells identifies candidate biomarkers of progression: An exploratory study. The Prostate. 70(12). 1313–1332. 46 indexed citations
7.
Guo, Tiannan, Yi Zhu, Chee Sian Gan, et al.. (2010). Quantitative Proteomics Discloses MET Expression in Mitochondria as a Direct Target of MET Kinase Inhibitor in Cancer Cells. Molecular & Cellular Proteomics. 9(12). 2629–2641. 20 indexed citations
8.
Zhang, Huoming, Changqing Zhao, Xin Li, et al.. (2010). Study of monocyte membrane proteome perturbation during lipopolysaccharide‐induced tolerance using iTRAQ‐based quantitative proteomic approach. PROTEOMICS. 10(15). 2780–2789. 38 indexed citations
9.
Guo, Tiannan, Yi Zhu, Chee Sian Gan, et al.. (2010). Global molecular dysfunctions in gastric cancer revealed by an integrated analysis of the phosphoproteome and transcriptome. Cellular and Molecular Life Sciences. 68(11). 1983–2002. 28 indexed citations
10.
Rehman, Ishtiaq, Adam Glen, Chee Sian Gan, et al.. (2008). ITRAQ-FACILITATED PROTEOMIC ANALYSIS OF HUMAN PROSTATE CANCER CELLS IDENTIFIES PROTEINS ASSOCIATED WITH PROGRESSION. European Urology Supplements. 7(3). 252–252. 34 indexed citations
11.
Guo, Tiannan, Chee Sian Gan, Huoming Zhang, et al.. (2008). Hybridization of Pulsed-Q Dissociation and Collision-Activated Dissociation in Linear Ion Trap Mass Spectrometer for iTRAQ Quantitation. Journal of Proteome Research. 7(11). 4831–4840. 53 indexed citations
12.
Glen, Adam, Chee Sian Gan, Freddie C. Hamdy, et al.. (2008). iTRAQ-Facilitated Proteomic Analysis of Human Prostate Cancer Cells Identifies Proteins Associated with Progression. Journal of Proteome Research. 7(3). 897–907. 95 indexed citations
13.
Gan, Chee Sian, Tiannan Guo, Huoming Zhang, Sai Kiang Lim, & Siu Kwan Sze. (2008). A Comparative Study of Electrostatic Repulsion-Hydrophilic Interaction Chromatography (ERLIC) versus SCX-IMAC-Based Methods for Phosphopeptide Isolation/Enrichment. Journal of Proteome Research. 7(11). 4869–4877. 78 indexed citations
14.
Gan, Chee Sian, Poh Kuan Chong, Trong Khoa Pham, & Phillip C. Wright. (2007). Technical, Experimental, and Biological Variations in Isobaric Tags for Relative and Absolute Quantitation (iTRAQ). Journal of Proteome Research. 6(2). 821–827. 352 indexed citations
15.
Barrios‐Llerena, Martin E., Poh Kuan Chong, Chee Sian Gan, et al.. (2006). Shotgun proteomics of cyanobacteria—applications of experimental and data-mining techniques. Briefings in Functional Genomics. 5(2). 121–132. 30 indexed citations
16.
Chong, Poh Kuan, Chee Sian Gan, Trong Khoa Pham, & Phillip C. Wright. (2006). Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) Reproducibility:  Implication of Multiple Injections. Journal of Proteome Research. 5(5). 1232–1240. 168 indexed citations
17.
Pham, Trong Khoa, Poh Kuan Chong, Chee Sian Gan, & Phillip C. Wright. (2006). Proteomic Analysis of Saccharomyces cerevisiae under High Gravity Fermentation Conditions. Journal of Proteome Research. 5(12). 3411–3419. 35 indexed citations
18.
Gan, Chee Sian, Kenneth F. Reardon, & Phillip C. Wright. (2005). Comparison of protein and peptide prefractionation methods for the shotgun proteomic analysis of Synechocystis sp. PCC 6803. PROTEOMICS. 5(9). 2468–2478. 81 indexed citations

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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