Gee Jun Tye

955 total citations
58 papers, 656 citations indexed

About

Gee Jun Tye is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gee Jun Tye has authored 58 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 18 papers in Immunology and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gee Jun Tye's work include Monoclonal and Polyclonal Antibodies Research (16 papers), Advanced biosensing and bioanalysis techniques (8 papers) and T-cell and B-cell Immunology (7 papers). Gee Jun Tye is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (16 papers), Advanced biosensing and bioanalysis techniques (8 papers) and T-cell and B-cell Immunology (7 papers). Gee Jun Tye collaborates with scholars based in Malaysia, Singapore and Australia. Gee Jun Tye's co-authors include Fazlina Nordin, Theam Soon Lim, Yee Siew Choong, Wan Safwani Wan Kamarul Zaman, Asma Ismail, Chee‐Yuen Gan, Rahmah Noordin, Mohd Nor Norazmi, Ying-Yuan Ngoh and Min Hwei Ng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and International Journal of Molecular Sciences.

In The Last Decade

Gee Jun Tye

57 papers receiving 641 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gee Jun Tye Malaysia 15 338 139 110 103 69 58 656
Husain Attarwala United States 11 458 1.4× 131 0.9× 70 0.6× 117 1.1× 90 1.3× 19 760
Anaamika Campeau United States 12 290 0.9× 79 0.6× 95 0.9× 171 1.7× 71 1.0× 23 618
Chris Morrison United States 14 506 1.5× 118 0.8× 154 1.4× 118 1.1× 82 1.2× 46 876
Christoph Giese Germany 15 333 1.0× 147 1.1× 103 0.9× 126 1.2× 31 0.4× 32 719
Julien Fassy France 8 275 0.8× 301 2.2× 73 0.7× 116 1.1× 115 1.7× 12 823
Colin Correnti United States 15 428 1.3× 219 1.6× 118 1.1× 177 1.7× 39 0.6× 26 872
Aditi Gupta United States 16 469 1.4× 215 1.5× 71 0.6× 110 1.1× 27 0.4× 39 945
Steven A. Fuller United States 15 446 1.3× 84 0.6× 106 1.0× 69 0.7× 68 1.0× 37 778
Takao Arimori Japan 17 482 1.4× 132 0.9× 108 1.0× 87 0.8× 114 1.7× 30 817
Hamid Nickho Iran 12 297 0.9× 121 0.9× 125 1.1× 141 1.4× 24 0.3× 18 589

Countries citing papers authored by Gee Jun Tye

Since Specialization
Citations

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

Fields of papers citing papers by Gee Jun Tye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gee Jun Tye

This figure shows the co-authorship network connecting the top 25 collaborators of Gee Jun Tye. A scholar is included among the top collaborators of Gee Jun Tye 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 Gee Jun Tye. Gee Jun Tye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Balakrishnan, Venugopal, et al.. (2025). Nanobodies targeting cytokines for the amelioration of autoimmune diseases. International Immunopharmacology. 164. 115368–115368.
2.
Malik, S. A., et al.. (2025). Stem cell derived exosome trilogy: an epic comparison of human MSCs, ESCs and iPSCs. Stem Cell Research & Therapy. 16(1). 318–318. 5 indexed citations
3.
4.
Nordin, Fazlina, et al.. (2024). Designing molecules: directing stem cell differentiation. Frontiers in Bioengineering and Biotechnology. 12. 1396405–1396405. 2 indexed citations
5.
Tye, Gee Jun, et al.. (2024). Current development of Fc gamma receptors (FcγRs) in diagnostics: a review. Molecular Biology Reports. 51(1). 937–937. 3 indexed citations
6.
Rashid, Nurshamimi Nor, et al.. (2024). Human mesenchymal stem cell secretomes: Factors affecting profiling and challenges in clinical application. Cell and Tissue Research. 395(3). 227–250. 8 indexed citations
7.
Tye, Gee Jun, et al.. (2023). Development of brain organoid technology derived from iPSC for the neurodegenerative disease modelling: a glance through. Frontiers in Molecular Neuroscience. 16. 1173433–1173433. 16 indexed citations
8.
Dhaliwal, Satvinder S., et al.. (2023). Effectiveness of Booster Vaccinations on the Control of COVID-19 during the Spread of Omicron Variant in Malaysia. International Journal of Environmental Research and Public Health. 20(2). 1647–1647. 7 indexed citations
9.
Tye, Gee Jun, et al.. (2023). Intestinal stem cells and gut microbiota therapeutics: hype or hope?. Frontiers in Medicine. 10. 1195374–1195374. 6 indexed citations
10.
Tye, Gee Jun, et al.. (2023). Generation of peptides using phage display technology for cancer diagnosis and molecular imaging. Molecular Biology Reports. 50(5). 4653–4664. 19 indexed citations
11.
Balakrishnan, Venugopal, et al.. (2022). The COVID-19/Tuberculosis Syndemic and Potential Antibody Therapy for TB Based on the Lessons Learnt From the Pandemic. Frontiers in Immunology. 13. 833715–833715. 6 indexed citations
12.
Norazmi, Mohd Nor, et al.. (2022). A novel peptide vaccination augments cytotoxic CD8+ T-cell responses against Mycobacterium tuberculosis HspX antigen. Immunobiology. 227(3). 152201–152201. 2 indexed citations
13.
Tye, Gee Jun, et al.. (2021). The potential applications of T cell receptor (TCR)-like antibody in cervical cancer immunotherapy. Human Vaccines & Immunotherapeutics. 17(9). 2981–2994. 4 indexed citations
14.
Su, Yang, Zeyu Wang, Bin Dong, et al.. (2020). Efficacy of Early Initiation of Ivabradine Treatment in Patients with Acute Heart Failure: Rationale and Design of SHIFT-AHF Trial. ESC Heart Failure. 7(6). 4465–4471. 7 indexed citations
15.
Norazmi, Mohd Nor, et al.. (2019). Enhancement of immune response against Mycobacterium tuberculosis HspX antigen by incorporation of combined molecular adjuvant (CASAC). Molecular Immunology. 117. 54–64. 6 indexed citations
16.
17.
Tye, Gee Jun, et al.. (2015). Improved Fab presentation on phage surface with the use of molecular chaperone coplasmid system. Analytical Biochemistry. 477. 56–61. 7 indexed citations
18.
Lim, Theam Soon, et al.. (2014). Assembly and stability of Salmonella enterica ser. Typhi TolC protein in POPE and DMPE. Journal of Biological Physics. 40(4). 387–400. 4 indexed citations
19.
Choong, Yee Siew, Gee Jun Tye, & Theam Soon Lim. (2013). Minireview: Applied Structural Bioinformatics in Proteomics. The Protein Journal. 32(7). 505–511. 4 indexed citations
20.
Ingram, Wendy, Shahram Kordasti, Lucas Chan, et al.. (2009). Human CD80/IL2 lentivirus transduced acute myeloid leukaemia cells enhance cytolytic activity in vitro in spite of an increase in regulatory CD4+ T cells in a subset of cultures. Cancer Immunology Immunotherapy. 58(10). 1679–1690. 6 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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