Hridesh Mishra

999 total citations
28 papers, 670 citations indexed

About

Hridesh Mishra is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Hridesh Mishra has authored 28 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 16 papers in Epidemiology and 6 papers in Surgery. Recurrent topics in Hridesh Mishra's work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (8 papers) and Mosquito-borne diseases and control (4 papers). Hridesh Mishra is often cited by papers focused on Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (8 papers) and Mosquito-borne diseases and control (4 papers). Hridesh Mishra collaborates with scholars based in South Africa, United States and Canada. Hridesh Mishra's co-authors include Grant Theron, Keertan Dheda, Jonny Peter, Richard N. van Zyl-Smit, Robin M. Warren, Surendra K. Sharma, Andrew Whitelaw, Madhukar Pai, Elizabeth M. Streicher and Samuel Murray and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Clinical Infectious Diseases.

In The Last Decade

Hridesh Mishra

25 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hridesh Mishra South Africa 12 527 432 268 46 46 28 670
Samuel Yoo Uganda 15 445 0.8× 428 1.0× 148 0.6× 49 1.1× 21 0.5× 24 556
Kelly M. Pennington United States 12 270 0.5× 277 0.6× 111 0.4× 39 0.8× 13 0.3× 71 596
Chadi M. El Saleeby United States 12 202 0.4× 534 1.2× 142 0.5× 27 0.6× 47 1.0× 21 664
Bianca Sossen South Africa 8 437 0.8× 324 0.8× 220 0.8× 38 0.8× 28 0.6× 19 523
Garyfallia Syridou Greece 13 207 0.4× 184 0.4× 101 0.4× 21 0.5× 36 0.8× 25 433
Govert Waramori Australia 10 363 0.7× 280 0.6× 108 0.4× 47 1.0× 43 0.9× 11 574
Jon Warkentin United States 12 408 0.8× 335 0.8× 197 0.7× 45 1.0× 17 0.4× 22 510
Qi Yu China 11 122 0.2× 96 0.2× 66 0.2× 22 0.5× 12 0.3× 32 427
R. Heckler Germany 6 72 0.1× 233 0.5× 106 0.4× 42 0.9× 24 0.5× 14 396
Aeesha NJ Malik United Kingdom 12 102 0.2× 167 0.4× 70 0.3× 51 1.1× 17 0.4× 29 467

Countries citing papers authored by Hridesh Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Hridesh Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hridesh Mishra

This figure shows the co-authorship network connecting the top 25 collaborators of Hridesh Mishra. A scholar is included among the top collaborators of Hridesh Mishra 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 Hridesh Mishra. Hridesh Mishra 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.
Mishra, Hridesh, Michelle Ngai, Valerie M. Crowley, et al.. (2025). Soluble tumour necrosis factor receptor 1 predicts hospitalization in children and young adults with dengue virus infection in the Philippines. Cytokine. 190. 156911–156911. 1 indexed citations
2.
Abdulgader, Shima M., Arthur Chiwaya, Byron W P Reeve, et al.. (2025). Diagnostic accuracy of Truenat MTB Ultima on sputum for pulmonary tuberculosis diagnosis in an HIV-endemic setting. Clinical Microbiology and Infection. 31(7). 1203–1209. 1 indexed citations
3.
Yin, Peihao, et al.. (2025). The role of γδ T cells in flavivirus infections: Insights into immune defense and therapeutic opportunities. PLoS neglected tropical diseases. 19(4). e0012972–e0012972. 1 indexed citations
7.
Mishra, Hridesh, et al.. (2022). Comparison of Cytokines Expression from Human Monocyte-Derived Macrophages Infected with Different Species of Mycobacteria. Journal of Interferon & Cytokine Research. 42(4). 141–152. 2 indexed citations
8.
Nathavitharana, Ruvandhi R., Hridesh Mishra, Shelley Hurwitz, et al.. (2022). Predicting Airborne Infection Risk: Association Between Personal Ambient Carbon Dioxide Level Monitoring and Incidence of Tuberculosis Infection in South African Health Workers. Clinical Infectious Diseases. 75(8). 1297–1306. 9 indexed citations
9.
Calderwood, Claire, Byron W P Reeve, Zaida Palmer, et al.. (2022). Clinical utility of C-reactive protein-based triage for presumptive pulmonary tuberculosis in South African adults. Journal of Infection. 86(1). 24–32. 15 indexed citations
10.
Driessche, Koen Vanden, Rouxjeane Venter, Judy Caldwell, et al.. (2021). Face masks in the post-COVID-19 era: a silver lining for the damaged tuberculosis public health response?. The Lancet Respiratory Medicine. 9(4). 340–342. 23 indexed citations
12.
Mishra, Hridesh, Byron W P Reeve, Zaida Palmer, et al.. (2020). Xpert MTB/RIF Ultra and Xpert MTB/RIF for diagnosis of tuberculosis in an HIV-endemic setting with a high burden of previous tuberculosis: a two-cohort diagnostic accuracy study. The Lancet Respiratory Medicine. 8(4). 368–382. 61 indexed citations
13.
Soneja, Manish, Hridesh Mishra, Kunzang Chosdol, et al.. (2020). Serum Angiopoietin-1 and -2 and VEGF are associated with severe disease in vivax malaria. Journal of Vector Borne Diseases. 57(4). 285–285. 2 indexed citations
14.
Mishra, Hridesh, et al.. (2019). Comparison of human monocyte derived macrophages and THP1-like macrophages as in vitro models for M. tuberculosis infection. Comparative Immunology Microbiology and Infectious Diseases. 67. 101355–101355. 41 indexed citations
16.
Theron, Grant, Jonny Peter, Richard N. van Zyl-Smit, et al.. (2011). Evaluation of the Xpert MTB/RIF Assay for the Diagnosis of Pulmonary Tuberculosis in a High HIV Prevalence Setting. American Journal of Respiratory and Critical Care Medicine. 184(1). 132–140. 243 indexed citations
17.
Theron, Grant, Anil Pooran, Jonny Peter, et al.. (2011). Do adjunct tuberculosis tests, when combined with Xpert MTB/RIF, improve accuracy and the cost of diagnosis in a resource-poor setting?. European Respiratory Journal. 40(1). 161–168. 52 indexed citations
18.
Theron, Grant, Lancelot Pinto, Jonny Peter, et al.. (2011). The Use of an Automated Quantitative Polymerase Chain Reaction (Xpert MTB/RIF) to Predict the Sputum Smear Status of Tuberculosis Patients. Clinical Infectious Diseases. 54(3). 384–388. 34 indexed citations
19.
Zyl-Smit, Richard N. van, Anke Binder, Richard Meldau, et al.. (2011). Comparison of Quantitative Techniques including Xpert MTB/RIF to Evaluate Mycobacterial Burden. PLoS ONE. 6(12). e28815–e28815. 83 indexed citations
20.
Sharma, Surendra K., Abhishek Sharma, Tamilarasu Kadhiravan, et al.. (2010). Prevalence and risk factors of syndrome Z in urban Indians. Sleep Medicine. 11(6). 562–568. 25 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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