Nusrat Homaira

7.8k citations
90 papers · 2.6k indexed · 1 hit paper · h-index 25

Nusrat Homaira

80 papers receiving 2.6k citations

Hit Papers

COVID-19 vaccine rumors and conspiracy theories: The need...3402021202620222024100200300

Peers

Nusrat Homaira
Comparison fields: 5 of 142
  • Infectious Diseases 923
  • Health 392
  • Modeling and Simulation 204
  • Epidemiology 1.2k
  • Virology 108
Replace Motoi Suzuki with:
Motoi Suzuki Japan
Paolo Durando Italy
Anthony T. Newall Australia
Alex J. Elliot United Kingdom
Roberto Tapia‐Conyer Mexico
Hiam Chemaitelly Qatar
Thierry Blanchon France
Lakshmanan Jeyaseelan India
Hannah C. Moore Australia
Noelle‐Angelique Molinari United States
Nusrat Homaira relative to Motoi Suzuki Japan Motoi Suzuki's profile →
Citations per field
00.5×2.6×
Motoi Suzuki · 1×
Citations per year

Countries citing papers authored by Nusrat Homaira

Since Specialization
Citations

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

Fields of papers citing papers by Nusrat Homaira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nusrat Homaira, 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 Nusrat Homaira Line = papers co-authored together Nusrat Homaira links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202422
4 202411
5 20240
6 20245
7 20233
8 20236
9 20235
10 202112
11 20197
12 201724
13 201722
14 201438
15 20136
16 201259
17 2011159
18 201130
19 2010129
20 2009303

About Nusrat Homaira

Nusrat Homaira is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation and Epidemiology, having authored 90 papers that have together received 2.6k indexed citations. Recurring topics across this work include Respiratory viral infections research (29 papers), Asthma and respiratory diseases (17 papers), Pneumonia and Respiratory Infections (13 papers), Neonatal Respiratory Health Research (12 papers), Influenza Virus Research Studies (10 papers), Virology and Viral Diseases (9 papers), Viral Infections and Vectors (9 papers) and Vaccine Coverage and Hesitancy (9 papers). The work is most often cited by research in Infectious Diseases (923 citations), Health (392 citations) and Modeling and Simulation (204 citations). Nusrat Homaira has collaborated with scholars based in Australia, Bangladesh and United States. Frequent co-authors include Stephen P. Luby, Adam Jaffé, Emily S. Gurley, Md Saiful Islam, Mahmudur Rahman, Pierre E. Rollin, Jahangir Hossain, James A. Comer, Salah Uddin Khan and William D. Rawlinson. Their work appears in journals such as PLoS ONE, Influenza and Other Respiratory Viruses, Journal of Asthma, Vaccine and International Journal of Infectious Diseases.

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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