Daniel T. Leung

4.4k total citations · 1 hit paper
121 papers, 2.3k citations indexed

About

Daniel T. Leung is a scholar working on Infectious Diseases, Endocrinology and Epidemiology. According to data from OpenAlex, Daniel T. Leung has authored 121 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Infectious Diseases, 36 papers in Endocrinology and 30 papers in Epidemiology. Recurrent topics in Daniel T. Leung's work include Vibrio bacteria research studies (27 papers), Viral gastroenteritis research and epidemiology (25 papers) and Child Nutrition and Water Access (22 papers). Daniel T. Leung is often cited by papers focused on Vibrio bacteria research studies (27 papers), Viral gastroenteritis research and epidemiology (25 papers) and Child Nutrition and Water Access (22 papers). Daniel T. Leung collaborates with scholars based in United States, Bangladesh and Switzerland. Daniel T. Leung's co-authors include Stephen L. Sacks, Edward T. Ryan, Stephen B. Calderwood, Jason B. Harris, Andrew S. Azman, Firdausi Qadri, Regina C. LaRocque, Mohammod Jobayer Chisti, Fahima Chowdhury and Richelle C. Charles and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Daniel T. Leung

112 papers receiving 2.2k citations

Hit Papers

align trajectories

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.

Global landscape of SARS-CoV-2 genomic surveillance and data sharing

2022 137 citations Andrew S. Azman, Xinhua Chen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel T. Leung United States	28	918	604	479	382	286	121	2.3k
Muhammad Umer Khan Pakistan	16	667 0.7×	1.1k 1.8×	270 0.6×	198 0.5×	153 0.5×	80	1.8k
Anne‐Laure Page France	27	776 0.8×	899 1.5×	584 1.2×	568 1.5×	605 2.1×	55	2.9k
Alejandro Cravioto Mexico	28	897 1.0×	521 0.9×	264 0.6×	193 0.5×	327 1.1×	65	2.2k
Vũ Đình Thiểm Vietnam	28	1.3k 1.4×	884 1.5×	752 1.6×	188 0.5×	140 0.5×	79	3.0k
Jacques Boncy United States	23	341 0.4×	873 1.4×	262 0.5×	223 0.6×	157 0.5×	89	1.8k
Fahima Chowdhury Bangladesh	33	640 0.7×	1.9k 3.1×	519 1.1×	527 1.4×	262 0.9×	99	2.8k
Suman Kanungo India	24	569 0.6×	748 1.2×	279 0.6×	109 0.3×	128 0.4×	87	1.7k
Samba O. Sow Mali	31	1.5k 1.6×	424 0.7×	1.4k 2.9×	161 0.4×	183 0.6×	151	3.3k
Anna Lena Lopez Philippines	27	677 0.7×	2.0k 3.3×	714 1.5×	463 1.2×	203 0.7×	92	3.2k
Thomas F. Wierzba United States	33	1.5k 1.6×	1.6k 2.6×	431 0.9×	206 0.5×	208 0.7×	68	2.9k

Countries citing papers authored by Daniel T. Leung

Since Specialization

Citations

This map shows the geographic impact of Daniel T. Leung'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 Daniel T. Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Leung more than expected).

Fields of papers citing papers by Daniel T. Leung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Leung. 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 Daniel T. Leung. The network helps show where Daniel T. Leung may publish in the future.

Co-authorship network of co-authors of Daniel T. Leung

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

All Works

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20 of 20 papers shown

Jones, Anna, Marc Roger Couturier, Andrew T. Pavia, & Daniel T. Leung. (2025). Dientamoeba fragilis cases identified by molecular detection, Utah, United States, 2014–2024. Epidemiology and Infection. 153. e36–e36.

Jones, Forrest K., Taufiqur Rahman Bhuiyan, Damien Slater, et al.. (2025). Expanding cholera serosurveillance to vaccinated populations. mBio. 16(11). e0189825–e0189825.

Khan, Zahid Hasan, Debashish Biswas, Jyoti Das, et al.. (2024). Potential for an Electronic Clinical Decision Support Tool to Support Appropriate Antibiotic Use for Pediatric Diarrhea Among Village Doctors in Bangladesh. Journal of the Pediatric Infectious Diseases Society. 13(11). 605–607.

Tuteja, Ashok K., et al.. (2024). Randomized double‐blind placebo‐controlled study to evaluate the effect of long‐acting mesalamine on postinfectious irritable bowel syndrome with diarrhea. Neurogastroenterology & Motility. 36(10). e14889–e14889. 1 indexed citations

Jones, Anna, Sharia M. Ahmed, James A Platts-Mills, et al.. (2024). Etiology of Severely Dehydrating Diarrheal Illness in Infants and Young Children Residing in Low- and Middle-Income Countries. Open Forum Infectious Diseases. 11(11). ofae619–ofae619. 6 indexed citations

Jenkins, Benjamin, Helen Heneghan, Fiona Walsh, et al.. (2024). Iron Is Critical for Mucosal-Associated Invariant T Cell Metabolism and Effector Functions. The Journal of Immunology. 212(11). 1706–1713. 4 indexed citations

Cacioppo, Jackson G., et al.. (2023). Enhancing Mucosal-Associated Invariant T Cell Function and Expansion with Human Selective Serum. ImmunoHorizons. 7(1). 116–124. 2 indexed citations

Grisel, Nancy, et al.. (2023). Syndromic Panel Testing Among Patients With Infectious Diarrhea: The Challenge of Interpreting Clostridioides difficile Positivity on a Multiplex Molecular Panel. Open Forum Infectious Diseases. 10(5). ofad184–ofad184. 5 indexed citations

Jensen, Owen, et al.. (2023). MAIT cell-mediated inhibition of colorectal tumor growth is associated with increase in IL-5 and accumulation of eosinophils in the tumor microenvironment. The Journal of Immunology. 210(Supplement_1). 84.10–84.10.

10.

Kelly, Meagan, Anjali Mandlik, Richelle C. Charles, et al.. (2023). Development of Shigella conjugate vaccines targeting Shigella flexneri 2a and S. flexneri 3a using a simple platform-approach conjugation by squaric acid chemistry. Vaccine. 41(34). 4967–4977. 6 indexed citations

11.

Smith, Timothy A., Ben J. Brintz, Prativa Pandey, et al.. (2022). Weather variables as important clinical predictors of bacterial diarrhoea among international travellers. Journal of Travel Medicine. 29(4). 4 indexed citations

12.

Brintz, Ben J., Alana L. Whitcombe, Alena J. Markmann, et al.. (2022). Combining antibody markers for serosurveillance of SARS-CoV-2 to estimate seroprevalence and time-since-infection. Epidemiology and Infection. 150. e20–e20. 1 indexed citations

13.

Reimer, Jody R., Sharia M. Ahmed, Ben J. Brintz, et al.. (2021). The Effects of Using a Clinical Prediction Rule to Prioritize Diagnostic Testing on Transmission and Hospital Burden: A Modeling Example of Early Severe Acute Respiratory Syndrome Coronavirus 2. Clinical Infectious Diseases. 73(10). 1822–1830. 2 indexed citations

14.

Trivedi, Shubhanshi, Allie H. Grossmann, Owen Jensen, et al.. (2021). Intestinal Infection Is Associated With Impaired Lung Innate Immunity to Secondary Respiratory Infection. Open Forum Infectious Diseases. 8(6). ofab237–ofab237. 2 indexed citations

15.

Chen, Xinhua, Zhiyuan Chen, Andrew S. Azman, et al.. (2021). Neutralizing Antibodies Against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variants Induced by Natural Infection or Vaccination: A Systematic Review and Pooled Analysis. Clinical Infectious Diseases. 74(4). 734–742. 67 indexed citations

16.

Ryan, Edward T., Daniel T. Leung, Owen Jensen, et al.. (2021). Systemic, Mucosal, and Memory Immune Responses following Cholera. Tropical Medicine and Infectious Disease. 6(4). 192–192. 6 indexed citations

17.

Uddin, Muhammad Ikhtear, Md. Shahidul Islam, Daniel T. Leung, et al.. (2021). An assessment of potential biomarkers of environment enteropathy and its association with age and microbial infections among children in Bangladesh. PLoS ONE. 16(4). e0250446–e0250446. 10 indexed citations

18.

Bryant, Juliet E., Andrew S. Azman, Matthew J. Ferrari, et al.. (2020). Serology for SARS-CoV-2: Apprehensions, opportunities, and the path forward. Science Immunology. 5(47). 88 indexed citations

19.

Brintz, Ben J., Benjamin Haaland, James A Platts-Mills, et al.. (2020). Clinical predictors for etiology of acute diarrhea in children in resource-limited settings. PLoS neglected tropical diseases. 14(10). e0008677–e0008677. 17 indexed citations

20.

Arifuzzaman, Mohammad, Rasheduzzaman Rashu, Daniel T. Leung, et al.. (2012). Antigen-Specific Memory T Cell Responses after Vaccination with an Oral Killed Cholera Vaccine in Bangladeshi Children and Comparison to Responses in Patients with Naturally Acquired Cholera. Clinical and Vaccine Immunology. 19(8). 1304–1311. 28 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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