Sophia Archuleta

3.4k total citations
95 papers, 1.8k citations indexed

About

Sophia Archuleta is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Sophia Archuleta has authored 95 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Infectious Diseases, 35 papers in Public Health, Environmental and Occupational Health and 22 papers in Epidemiology. Recurrent topics in Sophia Archuleta's work include Innovations in Medical Education (14 papers), HIV/AIDS Research and Interventions (14 papers) and Mosquito-borne diseases and control (12 papers). Sophia Archuleta is often cited by papers focused on Innovations in Medical Education (14 papers), HIV/AIDS Research and Interventions (14 papers) and Mosquito-borne diseases and control (12 papers). Sophia Archuleta collaborates with scholars based in Singapore, United States and Qatar. Sophia Archuleta's co-authors include Natasha Bagdasarian, Dimple Rajgor, Swee Chye Quek, Dale Fisher, David Chien Lye, James S. Molton, Shirin Kalimuddin, Douglas Chan, Zuraidah Sulaiman and Kathryn E. Holt and has published in prestigious journals such as The Lancet, Nature Communications and PLoS ONE.

In The Last Decade

Sophia Archuleta

90 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sophia Archuleta Singapore 20 856 453 377 364 174 95 1.8k
Erika Vlieghe Belgium 25 457 0.5× 301 0.7× 415 1.1× 431 1.2× 144 0.8× 84 1.9k
Ahmed Babiker United States 23 628 0.7× 474 1.0× 341 0.9× 586 1.6× 146 0.8× 92 2.0k
Asok Kurup Singapore 24 794 0.9× 224 0.5× 495 1.3× 522 1.4× 227 1.3× 54 1.6k
James A. McKinnell United States 27 1.3k 1.5× 243 0.5× 495 1.3× 806 2.2× 278 1.6× 81 2.5k
C. Pulcini France 32 898 1.0× 334 0.7× 337 0.9× 1.2k 3.3× 203 1.2× 113 3.4k
Kyungmin Huh South Korea 24 945 1.1× 126 0.3× 258 0.7× 621 1.7× 148 0.9× 152 2.0k
Tun‐Chieh Chen Taiwan 28 980 1.1× 482 1.1× 178 0.5× 660 1.8× 132 0.8× 125 2.2k
Berit Müller‐Pebody United Kingdom 26 400 0.5× 358 0.8× 406 1.1× 876 2.4× 139 0.8× 68 1.9k
Evelina Tacconelli Italy 33 1.2k 1.4× 401 0.9× 591 1.6× 1.3k 3.7× 296 1.7× 117 3.4k
Angelo Pan Italy 24 1.1k 1.3× 185 0.4× 527 1.4× 550 1.5× 172 1.0× 69 2.2k

Countries citing papers authored by Sophia Archuleta

Since Specialization
Citations

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

Fields of papers citing papers by Sophia Archuleta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sophia Archuleta

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

All Works

20 of 20 papers shown
1.
Ngiam, Jinghao Nicholas, et al.. (2025). Using ChatGPT for writing hospital inpatient discharge summaries – perspectives from an inpatient infectious diseases service. BMC Health Services Research. 25(1). 221–221. 2 indexed citations
4.
Ngiam, Jinghao Nicholas, et al.. (2024). The role of an artificial intelligence model in antiretroviral therapy counselling and advice for people living with HIV. HIV Medicine. 25(4). 504–508. 12 indexed citations
5.
Ngiam, Jinghao Nicholas, Sophia Archuleta, Dale Fisher, et al.. (2024). Performance of Risk Scores in Predicting Infective Endocarditis in Patients with Staphylococcus aureus Bacteraemia in a Prospective Asian Cohort. Journal of Clinical Medicine. 13(10). 2947–2947.
6.
Ngiam, Jinghao Nicholas, et al.. (2024). ChatGPT as a tool to improve access to knowledge on sexually transmitted infections. Sexually Transmitted Infections. 100(8). 528–531. 3 indexed citations
7.
Lin, Fen, Ying Ding, Tun-Linn Thein, et al.. (2023). DENGUE PROGNOSTIC BIOMARKERS PREDICT DENGUE HAEMORRHAGIC FEVER WITH HIGH SENSITIVITY AND SPECIFICITY. International Journal of Infectious Diseases. 130. S76–S76. 1 indexed citations
8.
Tan, Yi Han, Yahua Chen, David Chien Lye, et al.. (2023). Acquisition of regulator on virulence plasmid of hypervirulent Klebsiella allows bacterial lifestyle switch in response to iron. mBio. 14(4). e0129723–e0129723. 19 indexed citations
9.
Ko, Stephanie Q, et al.. (2023). Technology-enabled virtual ward for COVID management of the elderly and immunocompromised in Singapore: a descriptive cohort. BMC Infectious Diseases. 23(1). 102–102. 6 indexed citations
10.
Ang, Li Wei, Matthias Paul Han Sim Toh, Chen Seong Wong, et al.. (2021). Short-term mortality from HIV-infected persons diagnosed from 2012 to 2016. Medicine. 100(26). e26507–e26507. 11 indexed citations
11.
Ang, Li Wei, Matthias Paul Han Sim Toh, Irving Charles Boudville, et al.. (2021). Epidemiological factors associated with the absence of previous HIV testing among HIV-positive persons in Singapore, 2012–2017. BMJ Open. 11(8). e050133–e050133. 3 indexed citations
12.
Wong, Chen Seong, Liang Shen, Yee‐Sin Leo, et al.. (2021). Lack of latent tuberculosis (TB) screening and delay in anti-retroviral therapy initiation in HIV-TB co-infection: an 11-year study in an intermediate TB-burden country. International Journal of Infectious Diseases. 113. 178–183. 2 indexed citations
13.
14.
Molton, James S., Denis Bertrand, Ying Ding, et al.. (2021). Stool metagenome analysis of patients with Klebsiella pneumoniae liver abscess and their domestic partners. International Journal of Infectious Diseases. 107. 1–4. 3 indexed citations
15.
Cross, Gail Brenda, Claire M. Naftalin, Bintou Ahmadou Ahidjo, et al.. (2021). A blood RNA transcriptome signature for COVID-19. BMC Medical Genomics. 14(1). 155–155. 14 indexed citations
16.
Ibrahim, Halah, et al.. (2021). Fixing the leaky pipeline: Tips to promote gender equity in Academic Medicine. The Asia Pacific Scholar. 6(4). 1–6. 1 indexed citations
17.
Ng, Dorothy Hui Lin, Sean Wei Xiang Ong, Stephanie Sutjipto, et al.. (2020). The Pandemic Academy: Reflections of Infectious Diseases Fellows During COVID-19. Open Forum Infectious Diseases. 7(7). ofaa256–ofaa256. 2 indexed citations
19.
Venkatachalam, Indumathi, et al.. (2015). Evaluation of a HIV Voluntary Opt-Out Screening Program in a Singapore Hospital. PLoS ONE. 10(1). e0116987–e0116987. 5 indexed citations
20.
Chan, Douglas, Sophia Archuleta, Ryan Llorin, David Chien Lye, & Dale Fisher. (2012). Standardized outpatient management of Klebsiella pneumoniae liver abscesses. International Journal of Infectious Diseases. 17(3). e185–e188. 37 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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