A. EWERT

52 papers receiving 419 citations

Peers

A. EWERT
Comparison fields: 5 of 68
  • Infectious Diseases 279
  • Parasitology 64
  • Insect Science 91
  • Public Health, Environmental and Occupational Health 168
  • Small Animals 42
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M. Sasa Japan
E. W. Cupp United States
John F. Schacher Lebanon
Ernest Carroll Faust United States
R. M. Gordon United Kingdom
A. E. Gunders Israel
Harold J. Harlan United States
J. C. M. Vetter Netherlands
Han-Il Ree South Korea
Marcia Mika-Grieve United States
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Citations per field
00.5×4.7×
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Citations per year

Countries citing papers authored by A. EWERT

Since Specialization
Citations

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

Fields of papers citing papers by A. EWERT

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside A. EWERT, 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 A. EWERT Line = papers co-authored together A. EWERT links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198985
2 196727
3 196723
4 196719
5 196518
6 199216
7
Animal model of human disease: sporotrichosis.
197716
8 197515
9 197113
10 198112
11
Detection of metabolic antigens from nematode larvae by a microculture-agar gel technique.
196012
12
Chronic infection of cats with Brugia malayi and streptococcus.
198010
13 197110
14 198310
15 19739
16 19699
17 19809
18 19729
19
Worm burdens and prepatent periods in jirds (Meriones unguiculatus) infected with Brugia malayi.
19739
20 19838

About A. EWERT

A. EWERT is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Small Animals, Health, Toxicology and Mutagenesis and Insect Science, having authored 55 papers that have together received 467 indexed citations. Recurring topics across this work include Parasitic Diseases Research and Treatment (29 papers), Mosquito-borne diseases and control (9 papers), Insects and Parasite Interactions (7 papers), Infectious Diseases and Mycology (7 papers), Insect symbiosis and bacterial influences (5 papers), Lymphatic System and Diseases (4 papers), Fungal Infections and Studies (3 papers) and Nematode management and characterization studies (3 papers). The work is most often cited by research in Infectious Diseases (279 citations), Parasitology (64 citations), Insect Science (91 citations), Public Health, Environmental and Occupational Health (168 citations) and Small Animals (42 citations). A. EWERT has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Sabir Elbihari, Robert Fader, Gilbert R. Hillman, Manish Kumar Singh, E. M. Macdonald, Lawrence K. Lightner, Makoto Sakamoto, Kim Ping Wong, A. D'Alessandro and Samuel O. Grim. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Journal of Parasitology, Transactions of the Royal Society of Tropical Medicine and Hygiene, Journal of Medical Entomology and French Studies.

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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