Joy S. Michael

2.1k total citations
34 papers, 736 citations indexed

About

Joy S. Michael is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Joy S. Michael has authored 34 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Infectious Diseases, 24 papers in Epidemiology and 11 papers in Surgery. Recurrent topics in Joy S. Michael's work include Tuberculosis Research and Epidemiology (17 papers), Antifungal resistance and susceptibility (11 papers) and Mycobacterium research and diagnosis (9 papers). Joy S. Michael is often cited by papers focused on Tuberculosis Research and Epidemiology (17 papers), Antifungal resistance and susceptibility (11 papers) and Mycobacterium research and diagnosis (9 papers). Joy S. Michael collaborates with scholars based in India, United States and United Kingdom. Joy S. Michael's co-authors include J. Lucian Davis, Priscilla Rupali, Mark D. Perkins, Carlos Zamudio, Anna Vassall, Frank Cobelens, Hojoon Sohn, Andrew Whitelaw, Sanne van Kampen and Maria Tarcela Gler and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Joy S. Michael

31 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joy S. Michael India 15 611 444 232 58 52 34 736
Derek T. Armstrong United States 12 576 0.9× 466 1.0× 220 0.9× 55 0.9× 50 1.0× 29 654
Heidi Albert Switzerland 15 1.1k 1.7× 935 2.1× 405 1.7× 78 1.3× 60 1.2× 45 1.2k
Melles Haile Sweden 8 567 0.9× 459 1.0× 194 0.8× 61 1.1× 18 0.3× 12 717
Eddie Louie United States 12 467 0.8× 621 1.4× 120 0.5× 57 1.0× 27 0.5× 25 908
Vithal Prasad Myneedu India 19 812 1.3× 709 1.6× 382 1.6× 133 2.3× 79 1.5× 62 1.0k
Richard Kwizera Uganda 18 779 1.3× 743 1.7× 107 0.5× 73 1.3× 74 1.4× 61 1.0k
Sylvie Behillil France 17 598 1.0× 388 0.9× 125 0.5× 78 1.3× 29 0.6× 27 1.1k
I. Bastian Australia 15 666 1.1× 622 1.4× 310 1.3× 68 1.2× 13 0.3× 22 980
Monica Vogt South Africa 16 1.2k 2.0× 1.1k 2.5× 472 2.0× 43 0.7× 36 0.7× 18 1.4k
Preeti Mehta India 14 271 0.4× 247 0.6× 74 0.3× 50 0.9× 24 0.5× 61 576

Countries citing papers authored by Joy S. Michael

Since Specialization
Citations

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

Fields of papers citing papers by Joy S. Michael

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joy S. Michael. 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 Joy S. Michael. The network helps show where Joy S. Michael may publish in the future.

Co-authorship network of co-authors of Joy S. Michael

This figure shows the co-authorship network connecting the top 25 collaborators of Joy S. Michael. A scholar is included among the top collaborators of Joy S. Michael 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 Joy S. Michael. Joy S. Michael 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.
Manesh, Abi, Joy S. Michael, Meera Thomas, et al.. (2024). Pott's puffy tumor: An unusual complication of rhino-orbito-cerebral mucormycosis. World Neurosurgery X. 23. 100387–100387. 1 indexed citations
2.
Kohl, Thomas A., Viola Dreyer, Ivan Barilar, et al.. (2024). Challenging the gold standard: the limitations of molecular assays for detection ofMycobacterium tuberculosisheteroresistance. Thorax. 79(7). 670–675. 9 indexed citations
3.
Manesh, Abi, Lalee Varghese, Divya Dayanand, et al.. (2023). Short intravenous amphotericin B followed by oral posaconazole using a simple, stratified treatment approach for diabetes or COVID-19-associated rhino-orbito-cerebral mucormycosis: a prospective cohort study. Clinical Microbiology and Infection. 29(10). 1298–1305. 7 indexed citations
4.
Venkatesan, Manigandan, et al.. (2022). Pulmonary nocardiosis: Risk factors and species distribution from a high burden centre. Indian Journal of Medical Microbiology. 40(4). 582–584. 3 indexed citations
5.
Sahni, Rani Diana, et al.. (2022). Cryptic aspergillosis: a rare entity and a diagnostic challenge. Access Microbiology. 4(4). 344–344. 6 indexed citations
6.
Schmiedel, Yvonne, Debasree Kundu, Divya Dayanand, et al.. (2022). Accuracy of Xpert MTB/RIF Ultra for the diagnosis of tuberculosis in adult patients: a retrospective cohort study. International Journal of Infectious Diseases. 122. 566–568. 14 indexed citations
8.
Srinivasan, Sreenidhi, Megan A. Schilling, Tod Stuber, et al.. (2020). Reconsidering Mycobacterium bovis as a proxy for zoonotic tuberculosis: a molecular epidemiological surveillance study. The Lancet Microbe. 1(2). e66–e73. 59 indexed citations
9.
Michael, Joy S., et al.. (2019). A modular paper-and-plastic device for tuberculosis nucleic acid amplification testing in limited-resource settings. Scientific Reports. 9(1). 15367–15367. 25 indexed citations
10.
Sahni, Rani Diana, et al.. (2019). Candida auris: Clinical profile, diagnostic challenge and susceptibility pattern: Experience from a tertiary-care centre in South India. Journal of Global Antimicrobial Resistance. 21. 181–185. 15 indexed citations
11.
Rupali, Priscilla, et al.. (2019). Robustness of the Line Probe Assay for the Rapid Diagnosis and Characterization of Mutations in Extensively Drug-Resistant Tuberculosis. Microbial Drug Resistance. 25(6). 799–804. 1 indexed citations
12.
Tharyan, Prathap, Joy S. Michael, Devasahayam Jesudas Christopher, et al.. (2017). Treatment outcomes with daily self-administered treatment and thrice-weekly directly-observed treatment in two cohorts of newly-diagnosed, sputum-positive adults with pulmonary tuberculosis. Indian Journal of Tuberculosis. 67(1). 105–111.
13.
Arockiaraj, Justin, et al.. (2017). Drug resistant Skeletal Tuberculosis in a tertiary care centre in South India. Journal of Clinical Orthopaedics and Trauma. 9(Suppl 1). S44–S48. 8 indexed citations
14.
Michael, Joy S., et al.. (2017). Phaeohyphomycosis: A 10-Year Review (2006–2016). Open Forum Infectious Diseases. 4(suppl_1). S86–S86. 2 indexed citations
15.
Gowri, Mahasampath, et al.. (2016). The diagnostic utility of line probe assays for multidrug-resistant tuberculosis. Pathogens and Global Health. 110(4-5). 194–199. 17 indexed citations
16.
Suzana, S, et al.. (2015). Xpert MTB/Rif for the diagnosis of extrapulmonary tuberculosis – an experience from a tertiary care centre in South India. Tropical Medicine & International Health. 21(3). 385–392. 22 indexed citations
17.
Denkinger, Claudia M., Samuel G. Schumacher, Joy S. Michael, et al.. (2013). Challenges in the Development of an Immunochromatographic Interferon-Gamma Test for Diagnosis of Pleural Tuberculosis. PLoS ONE. 8(12). e85447–e85447. 4 indexed citations
18.
Vassall, Anna, Sanne van Kampen, Hojoon Sohn, et al.. (2011). Rapid Diagnosis of Tuberculosis with the Xpert MTB/RIF Assay in High Burden Countries: A Cost-Effectiveness Analysis. PLoS Medicine. 8(11). e1001120–e1001120. 250 indexed citations
19.
Mathai, Elizabeth, et al.. (2007). Factors associated with candiduria and related mortality. Journal of Infection. 55(5). 450–455. 51 indexed citations
20.
Wareham, David W., et al.. (2006). The dangers of dog bites. Journal of Clinical Pathology. 60(3). 328–329. 19 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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