D. Teo

947 total citations
12 papers, 353 citations indexed

About

D. Teo is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, D. Teo has authored 12 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Epidemiology. Recurrent topics in D. Teo's work include Mosquito-borne diseases and control (3 papers), Viral Infections and Vectors (3 papers) and Hepatitis B Virus Studies (2 papers). D. Teo is often cited by papers focused on Mosquito-borne diseases and control (3 papers), Viral Infections and Vectors (3 papers) and Hepatitis B Virus Studies (2 papers). D. Teo collaborates with scholars based in Singapore, United Kingdom and Australia. D. Teo's co-authors include Sally Lam, Lee Ching Ng, J. G. Bodmer, P. Krausa, Kam M. Hui, Chong Hee Lim, Michael J. Browning, Sim Leng Tien, Andrew J. McMichael and Adrian V. S. Hill and has published in prestigious journals such as Journal of Gastroenterology and Hepatology, International Journal of Infectious Diseases and Vox Sanguinis.

In The Last Decade

D. Teo

11 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Teo Singapore 7 126 99 91 65 54 12 353
Catherine Mundy Malawi 12 80 0.6× 49 0.5× 314 3.5× 51 0.8× 10 0.2× 15 657
Vanessa Piccinini Italy 14 36 0.3× 110 1.1× 135 1.5× 42 0.6× 6 0.1× 26 607
Leigh H. Fisher United States 8 50 0.4× 27 0.3× 115 1.3× 24 0.4× 9 0.2× 15 539
Huub C. Gelderblom United States 14 84 0.7× 26 0.3× 155 1.7× 60 0.9× 34 0.6× 27 517
Jennifer Allen United Kingdom 7 99 0.8× 186 1.9× 15 0.2× 173 2.7× 9 0.2× 8 460
N. Scheiermann Germany 12 100 0.8× 33 0.3× 80 0.9× 26 0.4× 8 0.1× 47 404
David Blythe United Kingdom 12 28 0.2× 47 0.5× 85 0.9× 29 0.4× 6 0.1× 20 468
Mohit Chowdhry India 13 16 0.1× 110 1.1× 93 1.0× 52 0.8× 6 0.1× 74 504
Olufunmilayo Daramola United Kingdom 5 87 0.7× 198 2.0× 159 1.7× 28 0.4× 4 0.1× 6 470
Selma K. Dritz United States 4 89 0.7× 28 0.3× 94 1.0× 24 0.4× 3 0.1× 5 323

Countries citing papers authored by D. Teo

Since Specialization
Citations

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

Fields of papers citing papers by D. Teo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Teo. 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 D. Teo. The network helps show where D. Teo may publish in the future.

Co-authorship network of co-authors of D. Teo

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

All Works

12 of 12 papers shown
1.
Obonyo, Nchafatso G., Nicole White, D. Teo, et al.. (2024). Effects of red blood cell transfusion on patients undergoing cardiac surgery in Queensland – a retrospective cohort study. Journal of Cardiothoracic Surgery. 19(1). 475–475.
2.
Kumar, Rajneesh, et al.. (2018). Prevalence of hepatitis C virus infection and the IL28B genotype polymorphism among blood donors and high-risk populations. Singapore Medical Journal. 60(1). 34–39. 11 indexed citations
3.
Teo, D.. (2014). Emerging and imported infections in the region – what's bothering us today?. ISBT Science Series. 9(1). 141–147. 1 indexed citations
4.
Tan, Li-Kiang, Swee Ling Low, Sally Lam, D. Teo, & Lee Ching Ng. (2012). Evaluation of pathogen reduction systems to inactivate dengue and chikungunya viruses in apheresis platelets suspended in plasma. International Journal of Infectious Diseases. 16. e241–e241. 3 indexed citations
5.
Teo, D. & Sally Lam. (2011). Pathogen inactivation. ISBT Science Series. 6(2). 449–453. 1 indexed citations
6.
Teo, D., Lee Ching Ng, & Sally Lam. (2009). Is dengue a threat to the blood supply?. Transfusion Medicine. 19(2). 66–77. 74 indexed citations
7.
Teo, D.. (2009). Blood supply management during an influenza pandemic. ISBT Science Series. 4(n2). 293–298. 21 indexed citations
8.
Ng, Lee Ching, Sally Lam, & D. Teo. (2009). Epidemiology of dengue and chikungunya viruses and their potential impact on the blood supply. ISBT Science Series. 4(n2). 357–367. 15 indexed citations
10.
Guan, R, et al.. (1997). Racial differences in Helicobacter pylori seroprevalence in Singapore: Correlation with differences in peptic ulcer frequency. Journal of Gastroenterology and Hepatology. 12(9-10). 655–659. 34 indexed citations
11.
Teo, D., et al.. (1997). Confirmatory serological testing of blood donors positive on TPHA screening in Singapore. International Journal of STD & AIDS. 8(12). 760–763. 2 indexed citations
12.
Krausa, P., David A. Savage, Kam M. Hui, et al.. (1995). Genetic polymorphism within HLA‐A*02: significant allelic variation revealed in different populations. Tissue Antigens. 45(4). 223–231. 133 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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