Gee Jun Tye

955 citations
58 papers · 656 · h-index 15

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 8
    • RNA Interference and Gene Delivery 6
    • vaccines and immunoinformatics approaches 6
    • CRISPR and Genetic Engineering 5
    • Protein purification and stability 5
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 6

Gee Jun Tye

57 papers receiving 641 citations

Peers

Gee Jun Tye
Comparison fields: 5 of 99
  • Immunology 139
  • Business and International Management 10
  • Molecular Biology 338
  • Radiology, Nuclear Medicine and Imaging 110
  • Genetics 44
Replace Chris Morrison with:
Chris Morrison United States
Н. А. Черепанова Russia
Martina L. Jones Australia
Julien Fassy France
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Maria D.F.S. Barbosa United States
Christoph Giese Germany
Kyriaki Tsalkitzi France
Eugene Rosenthal United States
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Citations per field
00.5×3.2×
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Citations per year

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-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.

Border = papers with Gee Jun Tye Line = papers co-authored together Gee Jun Tye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202254
2 201339
3 201537
4 202236
5 201729
6 202027
7 201426
8 202224
9 202319
10 202119
11 201418
12 202217
13 202316
14 202215
15 201415
16 202414
17 201514
18 202214
19 202313
20 202212

About Gee Jun Tye

Gee Jun Tye is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Oncology and Infectious Diseases, having authored 58 papers that have together received 656 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (16 papers), Advanced biosensing and bioanalysis techniques (8 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), RNA Interference and Gene Delivery (6 papers), vaccines and immunoinformatics approaches (6 papers), CRISPR and Genetic Engineering (5 papers) and Protein purification and stability (5 papers). The work is most often cited by research in Immunology (139 citations), Business and International Management (10 citations), Molecular Biology (338 citations), Radiology, Nuclear Medicine and Imaging (110 citations) and Genetics (44 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, Asma Ismail, Chee‐Yuen Gan, Ying-Yuan Ngoh, Rahmah Noordin, Min Hwei Ng and Mohd Nor Norazmi. Their work appears in journals such as Frontiers in Immunology, Molecular Biology Reports, Analytical Biochemistry, Journal of Functional Foods 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.

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