Revati Phalkey

63 papers receiving 1.6k citations

Peers

Revati Phalkey
Comparison fields: 5 of 139
  • Health, Toxicology and Mutagenesis 451
  • Modeling and Simulation 99
  • Emergency Medical Services 133
  • Infectious Diseases 206
  • Environmental Engineering 148
Replace Maria Regina Alves Cardoso with:
Maria Regina Alves Cardoso Brazil
Joan Brunkard United States
Elizabeth J. Carlton United States
Jyotsna S. Jagai United States
Baofa Jiang China
J. Trtanj United States
Osvalda De Giglio Italy
Christopher K. Uejio United States
Bruce Kirenga Uganda
Hilary Bambrick Australia
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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015193
2 2014120
3 2013103
4 2021100
5 2013100
6 202290
7 201175
8 202160
9 202257
10 201855
11 201253
12 201550
13 201943
14 201240
15 202139
16 201336
17 202230
18 201428
19 202224
20 201423

About Revati Phalkey

Revati Phalkey is a scholar working on Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Infectious Diseases, General Health Professions and Endocrinology, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Climate Change and Health Impacts (14 papers), Air Quality and Health Impacts (8 papers), Malaria Research and Control (5 papers), COVID-19 epidemiological studies (4 papers), Global Health Care Issues (4 papers), Disaster Response and Management (4 papers), Mosquito-borne diseases and control (4 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (451 citations), Modeling and Simulation (99 citations), Emergency Medical Services (133 citations), Infectious Diseases (206 citations) and Environmental Engineering (148 citations). Revati Phalkey has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Michael Marx, Shelby Yamamoto, Rainer Sauerborn, Helen L. Macintyre, Sabrina Marx, Clara B. Aranda-Jan, Bernhard Höfle, 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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