Gee Jun Tye
Impact in
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- Immune Cell Function and Interaction
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Advanced biosensing and bioanalysis techniques 7
- Glycosylation and Glycoproteins Research 5
- Advanced Biosensing Techniques and Applications 5
- Immunology 19
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 5
- Co-authors
- Fazlina Nordin (20 shared papers)Theam Soon Lim (14 shared papers)Yee Siew Choong (13 shared papers)Wan Safwani Wan Kamarul Zaman (11 shared papers)Chee‐Yuen Gan (2 shared papers)Asma Ismail (4 shared papers)Rahmah Noordin (7 shared papers)Min Hwei Ng (3 shared papers)
In The Last Decade
Gee Jun Tye
57 papers receiving 715 citations
Peers
Comparison fields: 5 of 102
- Immunology 129
- Radiology, Nuclear Medicine and Imaging 120
- Molecular Biology 362
- Business and International Management 11
- Genetics 43
Countries citing papers authored by Gee Jun Tye
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
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-authors
The 25 scholars most cited alongside Gee Jun Tye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 62 | |
| 2 | 2015 | 53 | |
| 3 | 2022 | 41 | |
| 4 | 2013 | 41 | |
| 5 | 2017 | 31 | |
| 6 | 2014 | 28 | |
| 7 | 2020 | 28 | |
| 8 | 2022 | 24 | |
| 9 | 2023 | 23 | |
| 10 | 2022 | 22 | |
| 11 | 2023 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2014 | 19 | |
| 14 | 2024 | 17 | |
| 15 | 2023 | 17 | |
| 16 | 2014 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2015 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2021 | 14 |
About Gee Jun Tye
Gee Jun Tye is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Genetics, having authored 62 papers that have together received 733 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (16 papers), Advanced biosensing and bioanalysis techniques (7 papers), T-cell and B-cell Immunology (6 papers), Glycosylation and Glycoproteins Research (5 papers), Virus-based gene therapy research (5 papers), Advanced Biosensing Techniques and Applications (5 papers), Immune Cell Function and Interaction (5 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Immunology (129 citations), Radiology, Nuclear Medicine and Imaging (120 citations), Molecular Biology (362 citations), Business and International Management (11 citations) and Genetics (43 citations). Gee Jun Tye has collaborated with scholars based in Malaysia, Singapore and Australia. Frequent co-authors include Fazlina Nordin, Theam Soon Lim, Yee Siew Choong, Wan Safwani Wan Kamarul Zaman, Chee‐Yuen Gan, Asma Ismail, Rahmah Noordin, Min Hwei Ng, Crystale Siew Ying Lim and Mohd Nor Norazmi. Their work appears in journals such as Molecular Biology Reports, Frontiers in Immunology, International Journal of Molecular Sciences, Analytical Biochemistry and Molecular Immunology.
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.