Toong Seng Tan

3.5k total citations · 1 hit paper
16 papers, 412 citations indexed

About

Toong Seng Tan is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Toong Seng Tan has authored 16 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 7 papers in Virology and 6 papers in Epidemiology. Recurrent topics in Toong Seng Tan's work include HIV Research and Treatment (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Influenza Virus Research Studies (5 papers). Toong Seng Tan is often cited by papers focused on HIV Research and Treatment (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Influenza Virus Research Studies (5 papers). Toong Seng Tan collaborates with scholars based in Japan, United States and Malaysia. Toong Seng Tan's co-authors include Takamasa Ueno, Kenzo Tokunaga, Hirotaka Ode, Yasumasa Iwatani, Satoshi Kishigami, Tadaki Suzuki, Kaori Sano, Kazuo Imai, Kazuyasu Miyoshi and Yanzhao Zhang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Nature Reviews Microbiology.

In The Last Decade

Toong Seng Tan

15 papers receiving 410 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SARS-CoV-2 D614G spike mutation increases entry efficiency with enhanced ACE2-binding affinity

2021 310 citations Seiya Ozono, Yanzhao Zhang et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Toong Seng Tan Japan	8	331	150	50	45	38	16	412
Saathvik R. Kannan United States	5	310 0.9×	136 0.9×	34 0.7×	27 0.6×	27 0.7×	7	400
Ruthiran Kugathasan United Kingdom	5	447 1.4×	137 0.9×	32 0.6×	59 1.3×	75 2.0×	7	532
Danwei Yu China	8	323 1.0×	106 0.7×	93 1.9×	80 1.8×	39 1.0×	13	395
Sven Blokland Netherlands	5	168 0.5×	104 0.7×	53 1.1×	29 0.6×	30 0.8×	8	247
Linda Benincasa Italy	8	448 1.4×	134 0.9×	22 0.4×	59 1.3×	74 1.9×	14	496
Lili Qin China	5	284 0.9×	97 0.6×	21 0.4×	39 0.9×	102 2.7×	7	364
Giulia Piccini Italy	9	359 1.1×	127 0.8×	20 0.4×	62 1.4×	57 1.5×	16	446
Wenxu Jia China	5	207 0.6×	84 0.6×	23 0.5×	29 0.6×	53 1.4×	6	281
Ariana Ghez Farrell United States	4	226 0.7×	152 1.0×	9 0.2×	26 0.6×	41 1.1×	4	304

Countries citing papers authored by Toong Seng Tan

Since Specialization

Citations

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

Fields of papers citing papers by Toong Seng Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toong Seng Tan. 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 Toong Seng Tan. The network helps show where Toong Seng Tan may publish in the future.

Co-authorship network of co-authors of Toong Seng Tan

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

All Works

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16 of 16 papers shown

Varriale, Joseph, Toong Seng Tan, Jun Lai, et al.. (2025). Factors associated with resistance of HIV-1 reservoir viruses to neutralization by autologous IgG antibodies. Journal of Clinical Investigation. 135(19).

Ngare, Isaac, Toong Seng Tan, Mako Toyoda, et al.. (2024). Factors Associated with Neutralizing Antibody Responses following 2-Dose and 3rd Booster Monovalent COVID-19 Vaccination in Japanese People Living with HIV. Viruses. 16(4). 555–555. 2 indexed citations

Tan, Toong Seng, Lesley de Armas, Ce Gao, et al.. (2024). Profound reduction of HIV-1 reservoir cells over 3 decades of antiretroviral therapy started in early infancy. JCI Insight. 10(1). 4 indexed citations

Tan, Toong Seng, et al.. (2024). Immune targeting of HIV-1 reservoir cells: a path to elimination strategies and cure. Nature Reviews Microbiology. 22(6). 328–344. 31 indexed citations

Tan, Toong Seng, et al.. (2023). Relative resistance of patient-derived envelope sequences to SERINC5-mediated restriction of HIV-1 infectivity. Journal of Virology. 97(10). e0082323–e0082323. 2 indexed citations

Toyoda, Mako, Toong Seng Tan, Chihiro Motozono, et al.. (2023). Evaluation of Neutralizing Activity against Omicron Subvariants in BA.5 Breakthrough Infection and Three-Dose Vaccination Using a Novel Chemiluminescence-Based, Virus-Mediated Cytopathic Assay. Microbiology Spectrum. 11(4). e0066023–e0066023. 2 indexed citations

Motozono, Chihiro, Mako Toyoda, Toong Seng Tan, et al.. (2022). The SARS-CoV-2 Omicron BA.1 spike G446S mutation potentiates antiviral T-cell recognition. Nature Communications. 13(1). 5440–5440. 14 indexed citations

Tan, Toong Seng, Mako Toyoda, Hirotaka Ode, et al.. (2022). Dissecting Naturally Arising Amino Acid Substitutions at Position L452 of SARS-CoV-2 Spike. Journal of Virology. 96(20). e0116222–e0116222. 7 indexed citations

Ozono, Seiya, Yanzhao Zhang, Hirotaka Ode, et al.. (2021). SARS-CoV-2 D614G spike mutation increases entry efficiency with enhanced ACE2-binding affinity. Nature Communications. 12(1). 848–848. 310 indexed citations breakdown →

10.

Tan, Toong Seng, Seiya Ozono, Takeo Kuwata, et al.. (2021). Phenotypic and Genotypic Co-receptor Tropism Testing in HIV-1 Epidemic Region of Tanzania Where Multiple Non-B Subtypes Co-circulate. Frontiers in Microbiology. 12. 703041–703041. 8 indexed citations

11.

Tan, Toong Seng, Mako Toyoda, Kenzo Tokunaga, & Takamasa Ueno. (2021). Aromatic Side Chain at Position 412 of SERINC5 Exerts Restriction Activity toward HIV-1 and Other Retroviruses. Journal of Virology. 95(18). e0063421–e0063421. 7 indexed citations

12.

Toyoda, Mako, Toong Seng Tan, Jun Ohashi, et al.. (2020). Impaired ability of Nef to counteract SERINC5 is associated with reduced plasma viremia in HIV-infected individuals. Scientific Reports. 10(1). 19416–19416. 8 indexed citations

13.

Tan, Toong Seng, et al.. (2018). Vaksin oral universal untuk jangkitan influenza. 1 indexed citations

14.

Tan, Toong Seng, et al.. (2017). Expression of surface-bound nonstructural 1 (NS1) protein of influenza virus A H5N1 onLactobacillus caseistrain C1. Letters in Applied Microbiology. 64(6). 446–451. 11 indexed citations

15.

Tan, Toong Seng, et al.. (2016). Replication of a Malaysian strain avian influenza A virus H5N1 in Madin-Darby canine kidney and African green monkey kidney cells. Sains Malaysiana. 45(5). 787–793. 3 indexed citations

16.

Tan, Toong Seng, et al.. (2016). Significant Replication Time-points of Avian Influenza A Virus Strain H5N1 in Madin-Darby Canine Kidney Cells. Jurnal Sains Kesihatan Malaysia. 14(1). 17–21. 2 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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