Natkunam Ketheesan

3.9k total citations
133 papers, 2.9k citations indexed

About

Natkunam Ketheesan is a scholar working on Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Natkunam Ketheesan has authored 133 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Epidemiology, 35 papers in Infectious Diseases and 30 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Natkunam Ketheesan's work include Burkholderia infections and melioidosis (40 papers), Streptococcal Infections and Treatments (24 papers) and Tuberculosis Research and Epidemiology (12 papers). Natkunam Ketheesan is often cited by papers focused on Burkholderia infections and melioidosis (40 papers), Streptococcal Infections and Treatments (24 papers) and Tuberculosis Research and Epidemiology (12 papers). Natkunam Ketheesan collaborates with scholars based in Australia, United States and United Kingdom. Natkunam Ketheesan's co-authors include Brenda Govan, Robert Norton, Robert G. Hirst, Glen C. Ulett, C. M. Rush, Jodie L. Morris, Kelly Hodgson, Nagaraja Haleagrahara, Jodie L. Barnes and Tahnee Bridson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

In The Last Decade

Natkunam Ketheesan

127 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natkunam Ketheesan Australia 30 1.2k 768 502 485 408 133 2.9k
Nele Wellinghausen Germany 31 853 0.7× 574 0.7× 411 0.8× 449 0.9× 395 1.0× 69 2.9k
Kathryn Harris United Kingdom 30 1.2k 1.1× 774 1.0× 282 0.6× 853 1.8× 388 1.0× 74 3.4k
Andrew J. H. Simpson United Kingdom 30 1.4k 1.2× 806 1.0× 262 0.5× 406 0.8× 227 0.6× 88 2.6k
Brigitte König Germany 28 680 0.6× 815 1.1× 273 0.5× 714 1.5× 374 0.9× 100 2.5k
Darlene Miller United States 50 866 0.7× 1.1k 1.5× 2.0k 4.0× 812 1.7× 207 0.5× 264 8.5k
A Ayyagarí India 26 668 0.6× 605 0.8× 151 0.3× 425 0.9× 148 0.4× 135 2.2k
Constantine G. Haidaris United States 30 1000 0.9× 1.1k 1.4× 309 0.6× 765 1.6× 403 1.0× 76 3.4k
Su‐Mi Choi South Korea 32 1.3k 1.1× 1.1k 1.4× 236 0.5× 891 1.8× 162 0.4× 183 3.3k
Esaki M. Shankar India 34 993 0.9× 823 1.1× 356 0.7× 694 1.4× 998 2.4× 145 3.4k
Rabia Hussain Pakistan 28 713 0.6× 1.1k 1.4× 184 0.4× 239 0.5× 399 1.0× 83 2.3k

Countries citing papers authored by Natkunam Ketheesan

Since Specialization
Citations

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

Fields of papers citing papers by Natkunam Ketheesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natkunam Ketheesan

This figure shows the co-authorship network connecting the top 25 collaborators of Natkunam Ketheesan. A scholar is included among the top collaborators of Natkunam Ketheesan 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 Natkunam Ketheesan. Natkunam Ketheesan 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.
2.
Thapa, Riya, David J. McMillan, Kadaba S. Sriprakash, et al.. (2025). Disruption of the blood–brain barrier contributes to neurobehavioral changes observed in rheumatic heart disease. Animal Models and Experimental Medicine. 8(6). 1138–1145.
3.
Hart, Robert A. de J., et al.. (2024). Mechanisms that potentially contribute to the development of post-streptococcal glomerulonephritis. Pathogens and Disease. 82. 1 indexed citations
4.
McMillan, Mary, et al.. (2023). Research Ready: a student-initiated workshop model for developing foundational research skills. Journal of Microbiology and Biology Education. 24(3). 1 indexed citations
5.
Agnew, Linda L., John Stenos, Stephen Graves, et al.. (2023). Q Fever – Immune Responses and Novel Vaccine Strategies. Future Microbiology. 18(16). 1185–1196. 4 indexed citations
6.
Reynolds, Simone, Adam S. Hamlin, Ailin Lepletier, et al.. (2023). Streptococcus pyogenes vaccine candidates do not induce autoimmune responses in a rheumatic heart disease model. npj Vaccines. 8(1). 9–9. 10 indexed citations
7.
Hobbs, Megan J., Natkunam Ketheesan, Keith Eastwood, et al.. (2022). Q Fever awareness and risk profiles among agricultural show attendees. Australian Journal of Rural Health. 30(5). 601–607. 4 indexed citations
8.
Field, Matthew A., et al.. (2021). A murine model of tuberculosis/type 2 diabetes comorbidity for investigating the microbiome, metabolome and associated immune parameters. SHILAP Revista de lepidopterología. 4(2). 181–188. 12 indexed citations
9.
Kang, Yun, Michael H. Norris, Jan Zarzycki‐Siek, et al.. (2021). The Burkholderia pseudomallei intracellular ‘TRANSITome’. Nature Communications. 12(1). 1907–1907. 17 indexed citations
10.
Morris, Jodie L., Brenda Govan, C. M. Rush, & Natkunam Ketheesan. (2021). Identification of defective early immune responses to Burkholderia pseudomallei infection in a diet-induced murine model of type 2 diabetes. Microbes and Infection. 23(4-5). 104793–104793. 3 indexed citations
11.
Kerkar, Prafulla, et al.. (2021). A longitudinal study of antibody responses to selected host antigens in rheumatic fever and rheumatic heart disease. Journal of Medical Microbiology. 70(5). 4 indexed citations
12.
Hamlin, Adam S., et al.. (2021). Group A streptococcal antigen exposed rat model to investigate neurobehavioral and cardiac complications associated with post‐streptococcal autoimmune sequelae. SHILAP Revista de lepidopterología. 4(2). 151–161. 10 indexed citations
13.
Miranda‐Hernandez, Socorro, Brenda Govan, C. M. Rush, et al.. (2020). Disparate Effects of Metformin on Mycobacterium tuberculosis Infection in Diabetic and Nondiabetic Mice. Antimicrobial Agents and Chemotherapy. 65(1). 4 indexed citations
14.
Field, Matthew A., Md Abdul Alim, Roland Brosch, et al.. (2020). Mucosal delivery of ESX-1–expressing BCG strains provides superior immunity against tuberculosis in murine type 2 diabetes. Proceedings of the National Academy of Sciences. 117(34). 20848–20859. 11 indexed citations
15.
Ketheesan, Natkunam, et al.. (2019). The Jaffna Medical Journal as a forum for undergraduate research. 31(1). 26–29.
16.
Rush, C. M., et al.. (2019). Anti-streptococcal antibody and T-cell interactions with vascular endothelial cells initiate the development of rheumatic carditis. Journal of Leukocyte Biology. 107(2). 263–271. 9 indexed citations
17.
Ketheesan, Natkunam. (2012). Melioidosis: a century of observation and research. ResearchOnline at James Cook University (James Cook University). 16 indexed citations
18.
Ketheesan, Natkunam, et al.. (2012). Detection of Coxiella burnetii DNA in Wildlife and Ticks in Northern Queensland, Australia. Vector-Borne and Zoonotic Diseases. 13(1). 12–16. 57 indexed citations
19.
20.
Ramsay, Stuart C., et al.. (2002). Peripheral Blood Lymphocyte Subsets in Acute Human Melioidosis. European Journal of Clinical Microbiology & Infectious Diseases. 21(7). 566–568. 10 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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