Do D. A. Thu

450 total citations
7 papers, 139 citations indexed

About

Do D. A. Thu is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Do D. A. Thu has authored 7 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Do D. A. Thu's work include Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (5 papers) and Antibiotic Resistance in Bacteria (2 papers). Do D. A. Thu is often cited by papers focused on Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (5 papers) and Antibiotic Resistance in Bacteria (2 papers). Do D. A. Thu collaborates with scholars based in United Kingdom, Vietnam and Australia. Do D. A. Thu's co-authors include Hoang Thanh Hai, Nguyễn Thụy Thương Thương, Guy Thwaites, Srinivasan Vijay, Nguyen Hoan Phu, Nguyen Thi Hanh, Vu Thi Ngoc Ha, Trinh Thi Bich Tram, Errin Johnson and Philip Ashton and has published in prestigious journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases and Frontiers in Microbiology.

In The Last Decade

Do D. A. Thu

7 papers receiving 139 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Do D. A. Thu United Kingdom	6	104	85	54	32	15	7	139
Lavania Joseph South Africa	7	139 1.3×	129 1.5×	46 0.9×	37 1.2×	23 1.5×	17	179
Marco A. Riojas United States	6	87 0.8×	92 1.1×	38 0.7×	71 2.2×	5 0.3×	7	164
Arnold Bainomugisa Australia	9	132 1.3×	136 1.6×	46 0.9×	65 2.0×	9 0.6×	12	195
Viola Dreyer Germany	8	140 1.3×	114 1.3×	52 1.0×	33 1.0×	14 0.9×	23	154
Xianglin Ruan China	3	137 1.3×	134 1.6×	45 0.8×	42 1.3×	21 1.4×	3	161
Priti Rathod United Kingdom	5	139 1.3×	139 1.6×	46 0.9×	48 1.5×	17 1.1×	5	169
Juan Carlos Toro Sweden	6	209 2.0×	201 2.4×	72 1.3×	54 1.7×	45 3.0×	6	254
A. I. Barbova Ukraine	5	149 1.4×	128 1.5×	43 0.8×	41 1.3×	15 1.0×	13	166
Andreu Garcia‐Vilanova United States	7	150 1.4×	84 1.0×	21 0.4×	44 1.4×	7 0.5×	16	209
Cristina Ivy United States	4	40 0.4×	58 0.7×	16 0.3×	29 0.9×	22 1.5×	5	124

Countries citing papers authored by Do D. A. Thu

Since Specialization

Citations

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

Fields of papers citing papers by Do D. A. Thu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Do D. A. Thu

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

All Works

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7 of 7 papers shown

Vijay, Srinivasan, Vu Thi Ngoc Ha, Phan Vuong Khac Thai, et al.. (2020). Sources of Multidrug Resistance in Patients With Previous Isoniazid-Resistant Tuberculosis Identified Using Whole Genome Sequencing: A Longitudinal Cohort Study. Clinical Infectious Diseases. 71(10). e532–e539. 10 indexed citations

Hai, Hoang Thanh, Do D. A. Thu, Nguyen Thi Hanh, et al.. (2019). Comparison of the Mycobacterium tuberculosis molecular bacterial load assay, microscopy and GeneXpert versus liquid culture for viable bacterial load quantification before and after starting pulmonary tuberculosis treatment. Tuberculosis. 119. 101864–101864. 24 indexed citations

Tram, Trinh Thi Bich, Vu Thi Ngoc Ha, Do D. A. Thu, et al.. (2019). Development of ligand‐coated beads to measure macrophage antimicrobial activities. Biology of the Cell. 111(10). 262–270. 1 indexed citations

Vijay, Srinivasan, Hoang Thanh Hai, Do D. A. Thu, et al.. (2018). Ultrastructural Analysis of Cell Envelope and Accumulation of Lipid Inclusions in Clinical Mycobacterium tuberculosis Isolates from Sputum, Oxidative Stress, and Iron Deficiency. Frontiers in Microbiology. 8. 2681–2681. 29 indexed citations

Tram, Trinh Thi Bich, Srinivasan Vijay, Hoang Thanh Hai, et al.. (2018). Virulence of Mycobacterium tuberculosis Clinical Isolates Is Associated With Sputum Pre-treatment Bacterial Load, Lineage, Survival in Macrophages, and Cytokine Response. Frontiers in Cellular and Infection Microbiology. 8. 417–417. 23 indexed citations

Thương, Nguyễn Thụy Thương, Hoang Thanh Hai, Do D. A. Thu, et al.. (2018). Pretreatment Cerebrospinal Fluid Bacterial Load Correlates With Inflammatory Response and Predicts Neurological Events During Tuberculous Meningitis Treatment. The Journal of Infectious Diseases. 219(6). 986–995. 21 indexed citations

Vijay, Srinivasan, Hoang Thanh Hai, Vu Thi Ngoc Ha, et al.. (2017). Influence of Stress and Antibiotic Resistance on Cell-Length Distribution in Mycobacterium tuberculosis Clinical Isolates. Frontiers in Microbiology. 8. 2296–2296. 31 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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