Threnesan Naidoo

494 total citations
17 papers, 281 citations indexed

About

Threnesan Naidoo is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Threnesan Naidoo has authored 17 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 6 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Threnesan Naidoo's work include Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (5 papers) and Infectious Diseases and Tuberculosis (5 papers). Threnesan Naidoo is often cited by papers focused on Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (5 papers) and Infectious Diseases and Tuberculosis (5 papers). Threnesan Naidoo collaborates with scholars based in South Africa, United States and United Kingdom. Threnesan Naidoo's co-authors include Adrie J. C. Steyn, Kievershen Nargan, Pratistadevi K. Ramdial, Bruce Biccard, Katrina D. DuBose, Andrew J. McKune, Md. Aejazur Rahman, Joel N. Glasgow, Rajhmun Madansein and Shannon Russell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Threnesan Naidoo

13 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Threnesan Naidoo South Africa	8	89	60	56	38	38	17	281
Josef van Helden Germany	15	81 0.9×	165 2.8×	78 1.4×	18 0.5×	24 0.6×	43	557
Daniele Colombo Italy	10	241 2.7×	49 0.8×	56 1.0×	39 1.0×	28 0.7×	22	384
Mignini Irene Italy	10	35 0.4×	78 1.3×	85 1.5×	34 0.9×	26 0.7×	46	264
Nancy Wei United States	13	56 0.6×	38 0.6×	87 1.6×	70 1.8×	12 0.3×	20	465
Jordi Pou Spain	13	83 0.9×	61 1.0×	59 1.1×	44 1.2×	10 0.3×	30	391
Marzanna Ciesielka Poland	9	175 2.0×	25 0.4×	129 2.3×	34 0.9×	72 1.9×	30	496
Beatriz Barreto‐Duarte Brazil	10	171 1.9×	136 2.3×	87 1.6×	85 2.2×	51 1.3×	33	327
Zhou Zhou China	7	149 1.7×	59 1.0×	48 0.9×	27 0.7×	20 0.5×	14	318
Hung-Lin Chen Taiwan	10	39 0.4×	46 0.8×	50 0.9×	39 1.0×	9 0.2×	23	341
Madeleine R. Heldman United States	11	69 0.8×	87 1.4×	106 1.9×	37 1.0×	15 0.4×	33	354

Countries citing papers authored by Threnesan Naidoo

Since Specialization

Citations

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

Fields of papers citing papers by Threnesan Naidoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Threnesan Naidoo

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

All Works

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17 of 17 papers shown

Boucau, Julie, Threnesan Naidoo, Yuming Liu, et al.. (2025). Inflammatory Macrophages Associate With Tissue Injury and Fibrosis in a Mouse Model of Tuberculosis. The Journal of Infectious Diseases. 232(6). 1375–1388.

Louw, Elizabeth H., Olukayode O. Aremu, Anastase Dzudié, et al.. (2025). Technical Challenges in Studying Infectious Disease-Associated Pulmonary Hypertension in Low- and Middle-Income Countries with Limited Resources. Infectious Disease Reports. 17(5). 109–109.

Naidoo, Threnesan, et al.. (2025). Female School Leaders Navigating Leadership During the COVID-19 Pandemic in Quintile 2 Ranking Schools in Gauteng, South Africa.

Olmo-Fontánez, Angélica M., Julia M. Scordo, Alyssa Schami, et al.. (2024). Human alveolar lining fluid from the elderly promotes Mycobacterium tuberculosis intracellular growth and translocation into the cytosol of alveolar epithelial cells. Mucosal Immunology. 17(2). 155–168. 5 indexed citations

Naidoo, Threnesan, et al.. (2024). Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review. BMC Medical Imaging. 24(1). 298–298.

Lyu, Jiwon, Susan L. Baldwin, Sasha E. Larsen, et al.. (2024). Understanding the development of tuberculous granulomas: insights into host protection and pathogenesis, a review in humans and animals. Frontiers in Immunology. 15. 1427559–1427559. 6 indexed citations

Nargan, Kievershen, et al.. (2024). Spatial distribution of Mycobacterium tuberculosis mRNA and secreted antigens in acid-fast negative human antemortem and resected tissue. EBioMedicine. 105. 105196–105196. 5 indexed citations

Auld, Sara C., Amy K. Barczak, William R. Bishai, et al.. (2024). Pathogenesis of Post-Tuberculosis Lung Disease: Defining Knowledge Gaps and Research Priorities at the Second International Post-Tuberculosis Symposium. American Journal of Respiratory and Critical Care Medicine. 210(8). 979–993. 8 indexed citations

Lennerz, Jochen K., Danny Ruta, Selvam Thavaraj, et al.. (2023). Computational pathology in cancer diagnosis, prognosis, and prediction – present day and prospects. The Journal of Pathology. 260(5). 551–563. 34 indexed citations

10.

Chinta, Krishna C., Vineel P. Reddy, Sajid Nadeem, et al.. (2023). NAD(H) homeostasis underlies host protection mediated by glycolytic myeloid cells in tuberculosis. Nature Communications. 14(1). 5472–5472. 16 indexed citations

11.

Glasgow, Joel N., Kievershen Nargan, Rajhmun Madansein, et al.. (2021). Micro–Computed Tomography Analysis of the Human Tuberculous Lung Reveals Remarkable Heterogeneity in Three-dimensional Granuloma Morphology. American Journal of Respiratory and Critical Care Medicine. 204(5). 583–595. 35 indexed citations

12.

Rahman, Md. Aejazur, Bridgette M. Cumming, Kelvin W. Addicott, et al.. (2020). Hydrogen sulfide dysregulates the immune response by suppressing central carbon metabolism to promote tuberculosis. Proceedings of the National Academy of Sciences. 117(12). 6663–6674. 54 indexed citations

13.

Reddy, Vineel P., Krishna C. Chinta, Vikram Saini, et al.. (2018). Ferritin H Deficiency in Myeloid Compartments Dysregulates Host Energy Metabolism and Increases Susceptibility to Mycobacterium tuberculosis Infection. Frontiers in Immunology. 9. 860–860. 54 indexed citations

14.

Naidoo, Threnesan, et al.. (2017). Kaposi Sarcoma with Abscessing Clinicopathologic Morphology. Journal of AIDS & Clinical Research. 8(9). 1 indexed citations

15.

Nargan, Kievershen, et al.. (2017). Vulval Tuberculosis: The Histomorphological Spectrum in Patients with HIV Co-Infection and AIDS. Journal of AIDS & Clinical Research. 8(8). 1 indexed citations

16.

Mathews, Shanaaz, et al.. (2016). The South African child death review pilot: A multiagency approach to strengthen healthcare and protection for children. South African Medical Journal. 106(9). 895–895. 22 indexed citations

17.

Naidoo, Threnesan, et al.. (2012). Elevated salivary C-reactive protein predicted by low cardio-respiratory fitness and being overweight in African children : cardiovascular topic. Cardiovascular journal of South Africa. 23(9). 501–506. 40 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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