D E Arnot

1.4k citations
27 papers · 1.1k indexed · h-index 17

Impact in

Papers in

D E Arnot

27 papers receiving 1.1k citations

Peers

D E Arnot
Comparison fields: 5 of 76
  • Parasitology 203
  • Public Health, Environmental and Occupational Health 784
  • Immunology 385
  • Virology 63
  • Infectious Diseases 83
Replace M Sedegah with:
M Sedegah United States
Robert T. Reese United States
Geert Jan van Gemert Netherlands
J Rener United States
G. Subramanian United States
Solabomi A. Ogun United Kingdom
Alison M. Creasey United Kingdom
Micheline Guillotte France
Chiang Syin United States
Wasim A. Siddiqui United States
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Citations per field
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Citations per year

Countries citing papers authored by D E Arnot

Since Specialization
Citations

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

Fields of papers citing papers by D E Arnot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D E Arnot. 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 D E Arnot. The network helps show where D E Arnot may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A longitudinal study of type-specific antibody responses to Plasmodium falciparum merozoite surface protein-1 in an area of unstable malaria in Sudan.
1998149
2 198695
3 198490
4 199880
5 200178
6 199871
7 198759
8 198451
9 200150
10 199945
11 200042
12 198841
13 198140
14 200438
15 199838
16 198935
17 199931
18 201113
19 198112
20
Possible mechanisms for the maintenance of polymorphisms in Plasmodium populations.
199112

About D E Arnot

D E Arnot is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Immunology, Infectious Diseases and Virology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Malaria Research and Control (17 papers), Mosquito-borne diseases and control (8 papers), Complement system in diseases (4 papers), Bacteriophages and microbial interactions (3 papers), Research on Leishmaniasis Studies (3 papers), Parasites and Host Interactions (3 papers), Invertebrate Immune Response Mechanisms (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Parasitology (203 citations), Public Health, Environmental and Occupational Health (784 citations), Immunology (385 citations), Virology (63 citations) and Infectious Diseases (83 citations). D E Arnot has collaborated with scholars based in United Kingdom, Denmark and Sudan. Frequent co-authors include Thor G. Theander, Hayder A. Giha, Vincenzo Enea, Cally Roper, Ibrahim M. Elhassan, Lars Hviid, Victor Nussenzweig, Jack L. Strominger, Dietmar J. Kappes and K. Okada. Their work appears in journals such as Parasitology, Molecular and Biochemical Parasitology, Proceedings of the National Academy of Sciences, Vaccine and The Journal of Experimental Medicine.

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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