Ter Yong Tan

421 total citations
10 papers, 307 citations indexed

About

Ter Yong Tan is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Epidemiology. According to data from OpenAlex, Ter Yong Tan has authored 10 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 5 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Ter Yong Tan's work include Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (5 papers) and Insect symbiosis and bacterial influences (2 papers). Ter Yong Tan is often cited by papers focused on Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (5 papers) and Insect symbiosis and bacterial influences (2 papers). Ter Yong Tan collaborates with scholars based in Singapore, United States and Hong Kong. Ter Yong Tan's co-authors include Justin Jang Hann Chu, Shee‐Mei Lok, Jian Shi, V.A. Kostyuchenko, Xin-Ni Lim, Thiam‐Seng Ng, G. Fibriansah, Shuijun Zhang, Jiaqi Wang and Marc C. Morais and has published in prestigious journals such as Nature Communications, PLoS Pathogens and Cell Reports.

In The Last Decade

Ter Yong Tan

10 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ter Yong Tan Singapore 7 220 174 76 70 33 10 307
Bikash R. Sahoo United States 8 229 1.0× 191 1.1× 100 1.3× 97 1.4× 44 1.3× 9 359
Geeta Buda United States 6 226 1.0× 224 1.3× 75 1.0× 45 0.6× 50 1.5× 8 304
Viswanathan Ramasamy India 8 214 1.0× 200 1.1× 54 0.7× 44 0.6× 30 0.9× 9 304
Gopalsamy Sarangan India 5 317 1.4× 295 1.7× 70 0.9× 50 0.7× 25 0.8× 11 408
Monica Poggianella Italy 11 216 1.0× 219 1.3× 76 1.0× 70 1.0× 48 1.5× 21 352
Szu-Chia Lai Taiwan 7 221 1.0× 203 1.2× 37 0.5× 80 1.1× 28 0.8× 11 329
C. C. Lin Taiwan 9 149 0.7× 122 0.7× 41 0.5× 66 0.9× 18 0.5× 18 285
Heidi Auerswald Cambodia 12 259 1.2× 286 1.6× 46 0.6× 54 0.8× 32 1.0× 29 417
Ginés Ávila‐Pérez Spain 11 97 0.4× 168 1.0× 116 1.5× 73 1.0× 34 1.0× 17 324
Nathan M. Liss United States 9 290 1.3× 282 1.6× 60 0.8× 54 0.8× 23 0.7× 10 377

Countries citing papers authored by Ter Yong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ter Yong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ter Yong Tan

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

All Works

10 of 10 papers shown
1.
Tan, Joecelyn Kirani, Ter Yong Tan, Na Fang, et al.. (2025). Suicide and Suicidal Ideation Among Survivors of Childhood Cancer. JAMA Network Open. 8(2). e2457544–e2457544. 3 indexed citations
2.
Gudi, Mihir, et al.. (2024). Fibromatosis-Like Metaplastic Carcinoma of the Breast: A Challenging Diagnosis With Potential Pitfalls. International Journal of Surgical Pathology. 33(5). 1224–1229. 1 indexed citations
3.
Tan, Ter Yong, G. Fibriansah, V.A. Kostyuchenko, et al.. (2020). Capsid protein structure in Zika virus reveals the flavivirus assembly process. Nature Communications. 11(1). 895–895. 91 indexed citations
4.
Zhang, Shuijun, Thiam‐Seng Ng, Xin-Ni Lim, et al.. (2020). A Human Antibody Neutralizes Different Flaviviruses by Using Different Mechanisms. Cell Reports. 31(4). 107584–107584. 18 indexed citations
5.
Lok, Shee‐Mei, Ter Yong Tan, Shuijun Zhang, et al.. (2020). Neutralization mechanism of a highly potent antibody against Zika virus. UNC Libraries. 1 indexed citations
6.
Tan, Ter Yong, G. Fibriansah, & Shee‐Mei Lok. (2020). Capsid protein is central to the birth of flavivirus particles. PLoS Pathogens. 16(5). e1008542–e1008542. 19 indexed citations
7.
Morrone, Seamus R., Xin-Ni Lim, Thiam‐Seng Ng, et al.. (2020). High flavivirus structural plasticity demonstrated by a non-spherical morphological variant. Nature Communications. 11(1). 3112–3112. 20 indexed citations
8.
Lee, Shoei‐Sheng, et al.. (2017). Community-based molecular epidemiology study of hepatitis C virus infection in injection drug users.. PubMed. 23 Suppl 5(4). 27–30. 6 indexed citations
9.
Zhang, Shuijun, V.A. Kostyuchenko, Thiam‐Seng Ng, et al.. (2016). Neutralization mechanism of a highly potent antibody against Zika virus. Nature Communications. 7(1). 13679–13679. 86 indexed citations
10.
Tan, Ter Yong & Justin Jang Hann Chu. (2013). Dengue virus-infected human monocytes trigger late activation of caspase-1, which mediates pro-inflammatory IL-1β secretion and pyroptosis. Journal of General Virology. 94(10). 2215–2220. 62 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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