Anand P. Patil
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- Malaria Research and Control 23
- Mosquito-borne diseases and control 15
- Travel-related health issues 4
- Genetics top 0.5%
- Hemoglobinopathies and Related Disorders 5
- Parasitology top 0.5%
- Hematology top 1%
- Iron Metabolism and Disorders 3
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 4
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- Species Distribution and Climate Change 3
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- Global Maternal and Child Health 3
- Co-authors
- Simon I HayPeter W. GethingAndrew J. TatemCarlos A. GuerraDavid L. SmithChristopher FonnesbeckDavid HuardRosalind E. Howes
- Partner nations
- United KingdomKenyaUnited States
In The Last Decade
Anand P. Patil
36 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Public Health, Environmental and Occupational Health 4.7k
- Genetics 1.4k
- Parasitology 872
- Hematology 1.1k
- Modeling and Simulation 426
Countries citing papers authored by Anand P. Patil
This map shows the geographic impact of Anand P. Patil'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 Anand P. Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anand P. Patil more than expected).
Fields of papers citing papers by Anand P. Patil
This network shows the impact of papers produced by Anand P. Patil. 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 Anand P. Patil. The network helps show where Anand P. Patil may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anand P. Patil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 83 | |
| 2 | Global epidemiology of sickle haemoglobin in neonates: a contemporary geostatistical model-based map and population estimatesbreakdown → | 2012 | 806 |
| 3 | G6PD Deficiency Prevalence and Estimates of Affected Populations in Malaria Endemic Countries: A Geostatistical Model-Based Mapbreakdown → | 2012 | 365 |
| 4 | A Long Neglected World Malaria Map: Plasmodium vivax Endemicity in 2010breakdown → | 2012 | 428 |
| 5 | 2012 | 35 | |
| 6 | 2011 | 131 | |
| 7 | 2011 | 159 | |
| 8 | 2011 | 54 | |
| 9 | 2011 | 53 | |
| 10 | 2011 | 254 | |
| 11 | A new world malaria map: Plasmodium falciparum endemicity in 2010breakdown → | 2011 | 796 |
| 12 | PyMC: Bayesian Stochastic Modelling in Python | 2010 | 3 |
| 13 | 2010 | 365 | |
| 14 | 2010 | 398 | |
| 15 | 2010 | 21 | |
| 16 | 2010 | 267 | |
| 17 | 2010 | 141 | |
| 18 | 2009 | 245 | |
| 19 | A World Malaria Map: Plasmodium falciparum Endemicity in 2007breakdown → | 2009 | 407 |
| 20 | 2009 | 37 |
About Anand P. Patil
Anand P. Patil is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Ecological Modeling, having authored 36 papers that have together received 8.0k indexed citations. Recurring topics across this work include Malaria Research and Control (23 papers), Mosquito-borne diseases and control (15 papers), Hemoglobinopathies and Related Disorders (5 papers), Travel-related health issues (4 papers), COVID-19 epidemiological studies (4 papers), Iron Metabolism and Disorders (3 papers), Species Distribution and Climate Change (3 papers) and Global Maternal and Child Health (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (4.7k citations), Genetics (1.4k citations) and Parasitology (872 citations). Anand P. Patil has collaborated with scholars based in United Kingdom, Kenya and United States. Frequent co-authors include Simon I Hay, Peter W. Gething, Andrew J. Tatem, Carlos A. Guerra, David L. Smith, Christopher Fonnesbeck, David Huard, Rosalind E. Howes, Caroline Kabaria and Robert W. Snow. Their work appears in journals such as Nature, The Lancet and Nature Communications.
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.