Nitika Pant Pai

5.9k total citations · 1 hit paper
102 papers, 4.2k citations indexed

About

Nitika Pant Pai is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Nitika Pant Pai has authored 102 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Infectious Diseases, 47 papers in Epidemiology and 36 papers in Virology. Recurrent topics in Nitika Pant Pai's work include HIV/AIDS Research and Interventions (59 papers), HIV Research and Treatment (36 papers) and HIV, Drug Use, Sexual Risk (29 papers). Nitika Pant Pai is often cited by papers focused on HIV/AIDS Research and Interventions (59 papers), HIV Research and Treatment (36 papers) and HIV, Drug Use, Sexual Risk (29 papers). Nitika Pant Pai collaborates with scholars based in Canada, United States and Netherlands. Nitika Pant Pai's co-authors include Madhukar Pai, John M. Colford, Caroline Vadnais, Nora Engel, Sushmita Shivkumar, Rosanna Ŵ. Peeling, Lawrence Joseph, Marina B. Klein, Joseph N. S. Eisenberg and Timothy J. Wade and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Nitika Pant Pai

98 papers receiving 4.0k citations

Hit Papers

Point-of-Care Testing for Infectious Diseases: Diversity,... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nitika Pant Pai Canada 34 2.2k 1.6k 862 569 394 102 4.2k
Michael H. Kramer United States 25 1.1k 0.5× 933 0.6× 153 0.2× 258 0.5× 245 0.6× 71 3.6k
Stephen E. Hawes United States 47 1.2k 0.5× 3.2k 1.9× 684 0.8× 522 0.9× 1.5k 3.8× 183 7.4k
Jean H. Humphrey United States 41 1.9k 0.9× 1.3k 0.8× 590 0.7× 1.2k 2.1× 63 0.2× 139 7.2k
Guthrie S. Birkhead United States 35 1.7k 0.8× 1.4k 0.9× 307 0.4× 708 1.2× 83 0.2× 131 4.2k
Hope L. Johnson United States 21 1.3k 0.6× 3.0k 1.8× 95 0.1× 869 1.5× 833 2.1× 39 7.6k
Michael G. Hudgens United States 46 3.3k 1.5× 3.0k 1.8× 2.6k 3.0× 559 1.0× 336 0.9× 293 8.7k
Daniela De Angelis United Kingdom 39 1.7k 0.8× 2.9k 1.8× 336 0.4× 416 0.7× 291 0.7× 157 5.2k
Stephen B. Gordon United Kingdom 45 1.1k 0.5× 2.9k 1.8× 132 0.2× 162 0.3× 908 2.3× 230 7.1k
George W. Rutherford United States 47 3.9k 1.8× 3.4k 2.1× 762 0.9× 1.4k 2.4× 194 0.5× 235 8.0k
Mark J. Siedner United States 43 2.6k 1.2× 1.4k 0.8× 892 1.0× 1.2k 2.0× 189 0.5× 281 5.6k

Countries citing papers authored by Nitika Pant Pai

Since Specialization
Citations

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

Fields of papers citing papers by Nitika Pant Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitika Pant Pai

This figure shows the co-authorship network connecting the top 25 collaborators of Nitika Pant Pai. A scholar is included among the top collaborators of Nitika Pant Pai 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 Nitika Pant Pai. Nitika Pant Pai 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.
Engel, Nora, Anja Krumeich, Aliasgar Esmail, et al.. (2025). How to make an app-based program work and show how it works. PLOS Global Public Health. 5(9). e0005034–e0005034.
3.
Engel, Nora, et al.. (2025). Evidence on Digital HIV Self-Testing From Accuracy to Impact: Updated Systematic Review. Journal of Medical Internet Research. 27. e63110–e63110. 2 indexed citations
4.
Fernández-Suárez, Marta, et al.. (2025). Understanding the cost-utility of implementing HIV self-testing with digital-based supports. Frontiers in Public Health. 12. 1440104–1440104. 1 indexed citations
5.
Esmail, Aliasgar, Faiz Ahmad Khan, Patrick O’Byrne, et al.. (2024). Self-tests for COVID-19: What is the evidence? A living systematic review and meta-analysis (2020–2023). SHILAP Revista de lepidopterología. 4(2). e0002336–e0002336. 9 indexed citations
6.
Pai, Nitika Pant, et al.. (2024). Digital HIV self-testing as an exemplar: a perspective on benefits, challenges, and opportunities. Expert Review of Molecular Diagnostics. 24(10). 913–925. 3 indexed citations
7.
Pai, Nitika Pant, et al.. (2023). Socioeconomic factors impact the risk of HIV acquisition in the township population of South Africa: A Bayesian analysis. SHILAP Revista de lepidopterología. 3(1). e0001502–e0001502. 9 indexed citations
10.
Pai, Nitika Pant, et al.. (2020). Modern diagnostic technologies for HIV. The Lancet HIV. 7(8). e574–e581. 21 indexed citations
11.
Kpokiri, Eneyi E., Gifty Marley, Weiming Tang, et al.. (2020). Diagnostic Infectious Diseases Testing Outside Clinics: A Global Systematic Review and Meta-analysis. Open Forum Infectious Diseases. 7(10). ofaa360–ofaa360. 20 indexed citations
12.
Pai, Nitika Pant, et al.. (2018). An Unsupervised Smart App–Optimized HIV Self-Testing Program in Montreal, Canada: Cross-Sectional Study. Journal of Medical Internet Research. 20(11). e10258–e10258. 25 indexed citations
13.
Gaydos, Charlotte A., Jeffrey D. Klausner, Nitika Pant Pai, et al.. (2017). Rapid and point-of-care tests for the diagnosis ofTrichomonas vaginalisin women and men. Sexually Transmitted Infections. 93(S4). S31–S35. 53 indexed citations
14.
Daher, Jana, Rohit Vijh, John Kim, et al.. (2017). Do digital innovations for HIV and sexually transmitted infections work? Results from a systematic review (1996-2017). BMJ Open. 7(11). e017604–e017604. 109 indexed citations
15.
Pai, Nitika Pant & Jana Daher. (2015). Multiplexed testing for HIV and related bacterial and viral co-infections at the point-of-care:quo vadis?. Expert Review of Molecular Diagnostics. 15(4). 463–469. 11 indexed citations
16.
17.
Jafari, Yalda, Mira Johri, Lawrence Joseph, Caroline Vadnais, & Nitika Pant Pai. (2014). Poor Reporting of Outcomes Beyond Accuracy in Point-of-Care Tests for Syphilis: A Call for a Framework. AIDS Research and Treatment. 2014. 1–14. 7 indexed citations
18.
Moodie, Erica E. M., Nitika Pant Pai, & Marina B. Klein. (2009). Is Antiretroviral Therapy Causing Long-Term Liver Damage? A Comparative Analysis of HIV-Mono-Infected and HIV/Hepatitis C Co-Infected Cohorts. PLoS ONE. 4(2). e4517–e4517. 46 indexed citations
19.
Pai, Nitika Pant, Rajnish Joshi, Erica E. M. Moodie, et al.. (2009). Profile of adults seeking voluntary HIV testing and counseling in rural Central India: results from a hospital-based study. AIDS Care. 21(3). 294–300. 9 indexed citations
20.
Pai, Nitika Pant, Jacqueline P. Tulsky, Deborah Cohan, John M. Colford, & Arthur Reingold. (2007). Rapid point‐of‐care HIV testing in pregnant women: a systematic review and meta‐analysis. Tropical Medicine & International Health. 12(2). 162–173. 63 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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