Nicholas Day

79.6k citations
607 papers · 33.6k indexed · 5 hit papers · h-index 87

Nicholas Day

596 papers receiving 32.6k citations

Hit Papers

Multilocus Sequence Typing for Characterization of Methic...20002026200820172000201620122021201050010001.5k2.0k2.5k

Peers

Nicholas Day
Comparison fields: 5 of 203
  • Public Health, Environmental and Occupational Health 15.2k
  • Infectious Diseases 10.3k
  • Epidemiology 8.3k
  • Molecular Biology 5.6k
  • Parasitology 5.4k
Replace Pierre‐Edouard Fournier with:
Pierre‐Edouard Fournier France
Jeremy Farrar Vietnam
Sharon J. Peacock United Kingdom
Jean‐Marc Rolain France
Kwok‐Yung Yuen Hong Kong
Vance G. Fowler United States
John G. Bartlett United States
Sherwood L. Gorbach United States
Peter G. Kremsner Germany
Henry Masur United States
Nicholas Day relative to Pierre‐Edouard Fournier France Pierre‐Edouard Fournier's profile →
Citations per field
00.5×2.5×
Pierre‐Edouard Fournier · 1×
Citations per year

Countries citing papers authored by Nicholas Day

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Day

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Day. A scholar is included among the top collaborators of Nicholas Day based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicholas Day. Nicholas Day is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 8
3 1
4 25
5 23
6 8
7 16
8 16
9 32
10 113
11 27
12 40
13 29
14 150
15
Effects of antimalarial drugs on movement of Plasmodium falciparum.
5
16 90
17 203
18
Rheumatological manifestations in patients with melioidosis.
24
19 39
20 69

About Nicholas Day

Nicholas Day is a scholar working on Parasitology, Applied Microbiology and Biotechnology and Public Health, Environmental and Occupational Health, having authored 607 papers that have together received 33.6k indexed citations. Recurring topics across this work include Malaria Research and Control (219 papers), Mosquito-borne diseases and control (194 papers) and Burkholderia infections and melioidosis (113 papers). The work is most often cited by research in Parasitology (5.4k citations), Infectious Diseases (10.3k citations) and Public Health, Environmental and Occupational Health (15.2k citations). Nicholas Day has collaborated with scholars based in United Kingdom, Thailand and Cambodia. Frequent co-authors include Nicholas J. White, Sharon J. Peacock, Arjen M. Dondorp, Brian G. Spratt, Mark C. Enright, Direk Limmathurotsakul, Vanaporn Wuthiekanun, Daniel H. Paris, François Nosten and Stuart D. Blacksell. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

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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