Vasee Moorthy

8.0k citations
65 papers · 2.9k indexed · h-index 32

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • Viral Infections and Outbreaks Research
    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology

Papers in

Vasee Moorthy

64 papers receiving 2.9k citations

Peers

Vasee Moorthy
Comparison fields: 5 of 138
  • Virology 276
  • Infectious Diseases 854
  • Public Health, Environmental and Occupational Health 1.3k
  • Parasitology 204
  • Immunology 582
Replace Johan Vekemans with:
Johan Vekemans United Kingdom
Joseph Torresi Australia
W. Ripley Ballou United States
Kalifa Bojang Gambia
Ali A. Sultan Qatar
James G. Kublin United States
Nadia Tornieporth United States
Kent E. Kester United States
Usa Thisyakorn Thailand
Martin Friede Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Vasee Moorthy

Since Specialization
Citations

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

Fields of papers citing papers by Vasee Moorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010187
2 2012183
3 2004150
4 2015144
5 2004128
6 2016116
7 2005103
8 201699
9 200995
10 201595
11 201693
12 200588
13 202184
14 201583
15 200481
16 200375
17 201674
18 201471
19 200368
20
Malaria vaccines: are we getting closer?
200765

About Vasee Moorthy

Vasee Moorthy is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Epidemiology, Economics and Econometrics and Molecular Biology, having authored 65 papers that have together received 2.9k indexed citations. Recurring topics across this work include Malaria Research and Control (25 papers), Mosquito-borne diseases and control (21 papers), Viral Infections and Outbreaks Research (13 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Vaccine Coverage and Hesitancy (9 papers), vaccines and immunoinformatics approaches (8 papers), Hepatitis B Virus Studies (7 papers) and Ethics in Clinical Research (6 papers). The work is most often cited by research in Virology (276 citations), Infectious Diseases (854 citations), Public Health, Environmental and Occupational Health (1.3k citations), Parasitology (204 citations) and Immunology (582 citations). Vasee Moorthy has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Adrian V. S. Hill, Birgitte Giersing, Kayvon Modjarrad, Peter G. Smith, David C. Kaslow, Robert W. Sauerwein, Meta Roestenberg, Graham V. Brown, Michael F. Good and Blaise Genton. Their work appears in journals such as Vaccine, The Lancet, Malaria Journal, PLoS Medicine and The Lancet 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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