Paul N. Newton
- Parasitology top 0.05%
- Vector-borne infectious diseases 54
- Leptospirosis research and findings 26
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- Mosquito-borne diseases and control 114
- Malaria Research and Control 97
- Pharmaceutical Quality and Counterfeiting 56
- Infectious Diseases top 0.5%
- Viral Infections and Vectors 59
- Molecular Medicine top 1%
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- Pharmaceutical Economics and Policy 29
-
- Burkholderia infections and melioidosis 21
- Co-authors
- Nicholas J. WhiteFacundo M. FernándezMayfong MayxayDaniel H. ParisNicholas DayStuart D. BlacksellMichael D. GreenSasithon Pukrittayakamee
- Cited by
- ParasitologyApplied Microbiology and BiotechnologyPublic Health, Environmental and Occupational Health
- Partner nations
- United KingdomLaosThailand
In The Last Decade
Paul N. Newton
352 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Parasitology 2.7k
- Applied Microbiology and Biotechnology 552
- Public Health, Environmental and Occupational Health 7.3k
- Infectious Diseases 2.8k
- Molecular Medicine 496
Countries citing papers authored by Paul N. Newton
This map shows the geographic impact of Paul N. Newton'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 Paul N. Newton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul N. Newton more than expected).
Fields of papers citing papers by Paul N. Newton
This network shows the impact of papers produced by Paul N. Newton. 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 Paul N. Newton. The network helps show where Paul N. Newton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul N. Newton, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 20 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 12 | |
| 14 | 2019 | 4 | |
| 15 | 2019 | 5 | |
| 16 | HOW TO OPTIMALLY DIAGNOSE ORIENTIA TSUTSUGAMUSHI OR RICKETTSIA TYPHI INFECTIONS IN PATIENTS WITH CENTRAL NERVOUS SYSTEM DISEASE | 2015 | 1 |
| 17 | 2013 | 27 | |
| 18 | 2007 | 39 | |
| 19 | 2005 | 85 | |
| 20 | 2004 | 56 |
About Paul N. Newton
Paul N. Newton is a scholar working on Parasitology, Applied Microbiology and Biotechnology and Public Health, Environmental and Occupational Health, having authored 356 papers that have together received 12.5k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (114 papers), Malaria Research and Control (97 papers), Viral Infections and Vectors (59 papers), Pharmaceutical Quality and Counterfeiting (56 papers), Vector-borne infectious diseases (54 papers), Pharmaceutical Economics and Policy (29 papers), Leptospirosis research and findings (26 papers) and Burkholderia infections and melioidosis (21 papers). The work is most often cited by research in Parasitology (2.7k citations), Applied Microbiology and Biotechnology (552 citations) and Public Health, Environmental and Occupational Health (7.3k citations). Paul N. Newton has collaborated with scholars based in United Kingdom, Laos and Thailand. Frequent co-authors include Nicholas J. White, Facundo M. Fernández, Mayfong Mayxay, Daniel H. Paris, Nicholas Day, Stuart D. Blacksell, Michael D. Green, Sasithon Pukrittayakamee, Arjen M. Dondorp and Rattanaphone Phetsouvanh. Their work appears in journals such as The Lancet, Nature Communications and Blood.
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.