Avika Dixit

744 total citations
25 papers, 410 citations indexed

About

Avika Dixit is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Avika Dixit has authored 25 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 13 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Avika Dixit's work include Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (9 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Avika Dixit is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (9 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Avika Dixit collaborates with scholars based in United States, India and United Kingdom. Avika Dixit's co-authors include Lori Feldman‐Winter, Kinga A. Szucs, Sanjiv Kumar, Maha Farhat, Luca Freschi, Christina VanderPluym, Jeffrey I. Campbell, Yasha Ektefaie, Megan S. McHenry and Roger Vargas and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and Clinical Infectious Diseases.

In The Last Decade

Avika Dixit

22 papers receiving 401 citations

Peers

Avika Dixit
Mariette Smith South Africa
Saliya Hewagama Australia
Rachel Bartash United States
Dana M Blyth United States
Amber Arnold United Kingdom
Mariette Smith South Africa
Avika Dixit
Citations per year, relative to Avika Dixit Avika Dixit (= 1×) peers Mariette Smith

Countries citing papers authored by Avika Dixit

Since Specialization
Citations

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

Fields of papers citing papers by Avika Dixit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avika Dixit

This figure shows the co-authorship network connecting the top 25 collaborators of Avika Dixit. A scholar is included among the top collaborators of Avika Dixit 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 Avika Dixit. Avika Dixit 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.
Feng, Jing, Rahnuma Wahid, Boris Kandinov, et al.. (2025). Immunogenicity and safety of a SARS-CoV-2 N-terminal domain and receptor-binding domain monovalent XBB.1.5 vaccine in Japanese participants. Vaccine. 69. 127960–127960. 1 indexed citations
2.
Priddy, Frances, Spyros Chalkias, Brandon Essink, et al.. (2024). A review of the immunogenicity and safety of booster doses of omicron variant-containing mRNA-1273 COVID-19 vaccines in adults and children. Expert Review of Vaccines. 23(1). 862–878. 6 indexed citations
3.
Dixit, Avika, Yasha Ektefaie, Anju Kagal, et al.. (2024). Drug Resistance and Epidemiological Success of Modern Mycobacterium tuberculosis Lineages in Western India. The Journal of Infectious Diseases. 231(1). 84–93. 2 indexed citations
4.
Dixit, Avika, Luca Freschi, Roger Vargas, et al.. (2024). Estimation of country-specific tuberculosis resistance antibiograms using pathogen genomics and machine learning. BMJ Global Health. 9(3). e013532–e013532. 3 indexed citations
5.
Follmann, Dean, Xiaowei Wang, Peter B. Gilbert, et al.. (2023). 1939. Who to Boost When: An Analysis of Dosing Interval and Age on COVID-19 Outcomes in the COVE Trial During the Delta and Omicron Waves. Open Forum Infectious Diseases. 10(Supplement_2).
6.
Siangphoe, Umaporn, Lindsey R. Baden, Hana M. El Sahly, et al.. (2022). Associations of Immunogenicity and Reactogenicity After Severe Acute Respiratory Syndrome Coronavirus 2 mRNA-1273 Vaccine in the COVE and TeenCOVE Trials. Clinical Infectious Diseases. 76(2). 271–280. 5 indexed citations
7.
Atre, Sachin, et al.. (2021). Tuberculosis Pathways to Care and Transmission of Multidrug Resistance in India. American Journal of Respiratory and Critical Care Medicine. 205(2). 233–241. 13 indexed citations
8.
Ektefaie, Yasha, Avika Dixit, Luca Freschi, & Maha Farhat. (2021). Globally diverse Mycobacterium tuberculosis resistance acquisition: a retrospective geographical and temporal analysis of whole genome sequences. The Lancet Microbe. 2(3). e96–e104. 32 indexed citations
9.
Gröschel, Matthias I., Luca Freschi, Roger Vargas, et al.. (2021). GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning. Genome Medicine. 13(1). 138–138. 38 indexed citations
10.
Dixit, Avika, et al.. (2021). Tuberculosis in Pediatric Solid Organ and Hematopoietic Stem Cell Recipients. Global Pediatric Health. 8. 2333794X20981548–2333794X20981548.
11.
Kheir, John N., Kshitij P. Mistry, Avika Dixit, et al.. (2020). Complete Heart Block, Severe Ventricular Dysfunction, and Myocardial Inflammation in a Child With COVID-19 Infection. SHILAP Revista de lepidopterología. 2(9). 1351–1355. 32 indexed citations
12.
Campbell, Jeffrey I., et al.. (2020). Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Febrile Neonates. Journal of the Pediatric Infectious Diseases Society. 9(5). 630–635. 34 indexed citations
13.
Dixit, Avika, Luca Freschi, Roger Vargas, et al.. (2019). Whole genome sequencing identifies bacterial factors affecting transmission of multidrug-resistant tuberculosis in a high-prevalence setting. Scientific Reports. 9(1). 5602–5602. 21 indexed citations
14.
Dixit, Avika, et al.. (2019). Antimicrobial resistance: Progress in the decade since emergence of New Delhi metallo-β-lactamase in India. Indian Journal of Community Medicine. 44(1). 4–4. 77 indexed citations
15.
McHenry, Megan S., et al.. (2018). EXPLORING HEALTHCARE PERSPECTIVES OF BURMESE CHIN REFUGEES.. PubMed. 23(4). 151–157. 6 indexed citations
16.
Dixit, Avika, et al.. (2018). Safety and Tolerability of Moxifloxacin in Children. Journal of the Pediatric Infectious Diseases Society. 7(3). e92–e101. 12 indexed citations
17.
Dixit, Avika, Neeta Kumar, & Sanjiv Kumar. (2018). Use of Generic Medicines. Journal of Health Management. 20(1). 84–90. 9 indexed citations
18.
Dixit, Avika, et al.. (2017). Adolescent Burmese Refugees Perspectives on Determinants of Health. Journal of Immigrant and Minority Health. 20(2). 370–379. 7 indexed citations
19.
Dixit, Avika, Sanda Alexandrescu, Debra Boyer, et al.. (2017). Mycoplasma hominis Empyema in an 18-Year-old Stem Cell and Lung Transplant Recipient: Case Report and Review of the Literature. Journal of the Pediatric Infectious Diseases Society. 6(4). e173–e176. 12 indexed citations
20.
McHenry, Megan S., Avika Dixit, & Rachel Vreeman. (2014). A Systematic Review of Nutritional Supplementation in HIV-Infected Children in Resource-Limited Settings. Journal of the International Association of Providers of AIDS Care (JIAPAC). 14(4). 313–323. 11 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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