Madhukar Pai

50.4k citations
445 papers · 30.3k · 18 hit papers · h-index 89

Impact in

    • Tuberculosis Research and Epidemiology
  • Epidemiology top 0.01%
    • Mycobacterium research and diagnosis
    • Pneumonia and Respiratory Infections
    • Pneumocystis jirovecii pneumonia detection and treatment

Papers in

    • Tuberculosis Research and Epidemiology 302
    • Mycobacterium research and diagnosis 122
    • Pneumonia and Respiratory Infections 119
    • Pneumocystis jirovecii pneumonia detection and treatment 57

Madhukar Pai

435 papers receiving 29.4k citations

Madhukar Pai's Hit Papers

Drug-resistant tuberculosis: a persistent global health concern 2024 · 70 citations
700+6+12Years since publication2505007501000

Peers

Madhukar Pai
Comparison fields: 5 of 206
  • Infectious Diseases 23.1k
  • Epidemiology 18.1k
  • Applied Microbiology and Biotechnology 568
  • Surgery 11.6k
  • Immunology 2.3k
Replace Mario Raviǵlione with:
Mario Raviǵlione Switzerland
Alimuddin Zumla United Kingdom
Dick Menzies Canada
Keertan Dheda South Africa
Ziad A. Memish Saudi Arabia
Ting Yu China
Giovanni Battista Migliori Italy
Ben J. Marais Australia
George F. Gao China
Gary Maartens South Africa
Madhukar Pai relative to Mario Raviǵlione Switzerland Mario Raviǵlione's profile →
Citations per field
00.5×1.5×2.3×
Mario Raviǵlione · 1×
Citations per year

Countries citing papers authored by Madhukar Pai

Since Specialization
Citations

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

Fields of papers citing papers by Madhukar Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Madhukar Pai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Madhukar Pai Line = papers co-authored together Madhukar Pai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 445 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Systematic Review: T-Cell–based Assays for the Diagnosis of Latent Tuberculosis Infection: An Update
Hit paper breakdown →
20081012
2
Xpert® MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults
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2014823
3
Tuberculosis
Hit paper breakdown →
2016814
4
Meta-analysis: New Tests for the Diagnosis of Latent Tuberculosis Infection: Areas of Uncertainty and Recommendations for Research
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2007754
5
Interferon-γ assays in the immunodiagnosis of tuberculosis: a systematic review
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2004720
6
Official American Thoracic Society/Infectious Diseases Society of America/Centers for Disease Control and Prevention Clinical Practice Guidelines: Diagnosis of Tuberculosis in Adults and Children
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2016656
7
Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review
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2006579
8
Tuberculosis
Hit paper breakdown →
2019562
9
Gamma Interferon Release Assays for Detection of Mycobacterium tuberculosis Infection
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2014557
10
False-positive tuberculin skin tests: what is the absolute effect of BCG and non-tuberculous mycobacteria?
2006493
11
Official American Thoracic Society/Infectious Diseases Society of America/Centers for Disease Control and Prevention Clinical Practice Guidelines: Diagnosis of Tuberculosis in Adults and Children
Hit paper breakdown →
2017476
12
Point-of-Care Testing for Infectious Diseases: Diversity, Complexity, and Barriers in Low- And Middle-Income Countries
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2012445
13 2006438
14 2006422
15
The BCG World Atlas: A Database of Global BCG Vaccination Policies and Practices
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2011379
16
Xpert MTB/RIF assay for the diagnosis of extrapulmonary tuberculosis: a systematic review and meta-analysis
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2014374
17 2008357
18 2010350
19 2011347
20
Risk of tuberculosis infection and disease associated with work in health care settings.
2007335

About Madhukar Pai

Madhukar Pai is a scholar working on Infectious Diseases, Epidemiology, Surgery, General Health Professions and Public Health, Environmental and Occupational Health, having authored 445 papers that have together received 30.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (302 papers), Mycobacterium research and diagnosis (122 papers), Pneumonia and Respiratory Infections (119 papers), Infectious Diseases and Tuberculosis (65 papers), Pneumocystis jirovecii pneumonia detection and treatment (57 papers), Diagnosis and treatment of tuberculosis (49 papers), Healthcare Systems and Reforms (22 papers) and COVID-19 diagnosis using AI (21 papers). The work is most often cited by research in Infectious Diseases (23.1k citations), Epidemiology (18.1k citations), Applied Microbiology and Biotechnology (568 citations), Surgery (11.6k citations) and Immunology (2.3k citations). Madhukar Pai has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Dick Menzies, Alice Zwerling, Karen R Steingart, Keertan Dheda, Claudia M. Denkinger, John M. Colford, Philip C. Hopewell, Rajnish Joshi, Catharina Boehme and Lee W. Riley. Their work appears in journals such as PLoS ONE, BMJ Global Health, PLoS Medicine, The Lancet Infectious Diseases and The International Journal of Tuberculosis and Lung Disease.

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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