Revati Phalkey

62 papers receiving 1.5k citations

Peers

Revati Phalkey
Comparison fields: 5 of 140
  • Modeling and Simulation 163
  • Health, Toxicology and Mutagenesis 461
  • Emergency Medical Services 149
  • Health 130
  • Infectious Diseases 280
Replace Maria Regina Alves Cardoso with:
Maria Regina Alves Cardoso Brazil
Elizabeth J. Carlton United States
Baofa Jiang China
Aaron Bernstein United States
Joan Brunkard United States
Joshua A. Mott United States
Christopher K. Uejio United States
Chit Ming Wong Hong Kong
Jyotsna S. Jagai United States
Bruce Kirenga Uganda
Revati Phalkey relative to Maria Regina Alves Cardoso Brazil Maria Regina Alves Cardoso's profile →
Citations per field
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Maria Regina Alves Cardoso · 1×
Citations per year

Countries citing papers authored by Revati Phalkey

Since Specialization
Citations

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

Fields of papers citing papers by Revati Phalkey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Revati Phalkey, 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 Revati Phalkey Line = papers co-authored together Revati Phalkey 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 2015176
2 2014116
3 202196
4 201396
5 201394
6 202281
7 201166
8 202255
9 202155
10 201851
11 201549
12 201247
13 201938
14 201236
15 202134
16 201334
17 202228
18 201822
19 201422
20 201422

About Revati Phalkey

Revati Phalkey is a scholar working on Infectious Diseases, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, General Health Professions and Modeling and Simulation, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Climate Change and Health Impacts (16 papers), COVID-19 epidemiological studies (12 papers), Child Nutrition and Water Access (9 papers), Air Quality and Health Impacts (8 papers), Disaster Response and Management (7 papers), COVID-19 and healthcare impacts (6 papers), Viral Infections and Outbreaks Research (6 papers) and Mosquito-borne diseases and control (6 papers). The work is most often cited by research in Modeling and Simulation (163 citations), Health, Toxicology and Mutagenesis (461 citations), Emergency Medical Services (149 citations), Health (130 citations) and Infectious Diseases (280 citations). Revati Phalkey has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Michael Marx, Shelby Yamamoto, Helen L. Macintyre, Rainer Sauerborn, Bernhard Höfle, Sabrina Marx, Clara B. Aranda-Jan, Valérie R. Louis, Xiaoming Cai and Clare Heaviside. Their work appears in journals such as Global Health Action, BMC Public Health, International Journal of Environmental Research and Public Health, BMJ Open and Environment International.

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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