Parker Daniel

5.0k citations
126 papers · 3.0k · h-index 33

Impact in

Papers in

Parker Daniel

114 papers receiving 2.9k citations

Peers

Parker Daniel
Comparison fields: 5 of 130
  • Public Health, Environmental and Occupational Health 2.1k
  • Parasitology 258
  • Infectious Diseases 347
  • Virology 82
  • Modeling and Simulation 72
Replace Matt Cairns with:
Matt Cairns United Kingdom
Miriam K. Laufer United States
Peter D. McElroy United States
Lucas Naam-Kayagre Amenga-Etego Ghana
Issaka Sagara Mali
Samwel Gesase Tanzania
Andrew Yona Kitua Tanzania
Badara Cissé Senegal
Julie Gutman United States
Sarah G. Staedke United Kingdom
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Citations per field
00.5×1.5×2×2.4×
Matt Cairns · 1×
Citations per year

Countries citing papers authored by Parker Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Parker Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011228
2 2018134
3 2017130
4 2016120
5 2019114
6 2015103
7 201377
8 201376
9 201473
10 202170
11 201768
12 201463
13 202162
14 201358
15 201455
16 202155
17 201853
18 201950
19 201548
20 201447

About Parker Daniel

Parker Daniel is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Modeling and Simulation, Pediatrics, Perinatology and Child Health and Parasitology, having authored 126 papers that have together received 3.0k indexed citations. Recurring topics across this work include Malaria Research and Control (73 papers), Mosquito-borne diseases and control (28 papers), Computational Drug Discovery Methods (7 papers), Global Maternal and Child Health (7 papers), COVID-19 epidemiological studies (5 papers), Viral Infections and Vectors (5 papers), Migration, Health and Trauma (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (2.1k citations), Parasitology (258 citations), Infectious Diseases (347 citations), Virology (82 citations) and Modeling and Simulation (72 citations). Parker Daniel has collaborated with scholars based in United States, Thailand and United Kingdom. Frequent co-authors include François Henry Nosten, Liwang Cui, Jordi Landier, Qi Fan, Stephen A. Matthews, Aung Myint Thu, Sasithon Pukrittayakamee, Zhaoqing Yang, Verena Ilona Carrara and Guofa Zhou. Their work appears in journals such as Malaria Journal, American Journal of Tropical Medicine and Hygiene, PLoS ONE, PLoS neglected tropical diseases and Wellcome Open Research.

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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