Sarah E. Maes

570 citations
24 papers · 422 · h-index 12

Impact in

Papers in

Sarah E. Maes

22 papers receiving 417 citations

Peers

Sarah E. Maes
Comparison fields: 5 of 21
  • Parasitology 398
  • Infectious Diseases 328
  • Ecology, Evolution, Behavior and Systematics 147
  • Insect Science 79
  • Public Health, Environmental and Occupational Health 109
Replace Nicole E. Breuner with:
Nicole E. Breuner United States
Lindsay Rollend United States
Robyn M. Nadolny United States
М. Г. Топоркова Russia
Yuan-Chun Zheng China
Vivian Kjelland Norway
Tonya R. Mixson United States
Keerthi Fernando Canada
Chelsea L. Wright United States
Linda Fryland Sweden
Sarah E. Maes relative to Nicole E. Breuner United States Nicole E. Breuner's profile →
Citations per field
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Nicole E. Breuner · 1×
Citations per year

Countries citing papers authored by Sarah E. Maes

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201854
2 202053
3 201744
4 201641
5 201739
6 201731
7 202123
8 202222
9 202121
10 201621
11 202319
12 202112
13 202310
14 20147
15 20247
16 20236
17 20243
18 20233
19 20222
20 20092

About Sarah E. Maes

Sarah E. Maes is a scholar working on Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Insect Science and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 422 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (21 papers), Viral Infections and Vectors (18 papers), Vector-Borne Animal Diseases (11 papers), Insect symbiosis and bacterial influences (3 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Mosquito-borne diseases and control (3 papers), Insect and Pesticide Research (2 papers) and Bartonella species infections research (2 papers). The work is most often cited by research in Parasitology (398 citations), Infectious Diseases (328 citations), Ecology, Evolution, Behavior and Systematics (147 citations), Insect Science (79 citations) and Public Health, Environmental and Occupational Health (109 citations). Sarah E. Maes has collaborated with scholars based in United States. Frequent co-authors include Rebecca J. Eisen, Christine B. Graham, Andrias Hojgaard, Tammi L. Johnson, Karen A. Boegler, Erik Foster, Mark A. Pilgard, Mark J. Delorey, Lynn M. Osikowicz and Sarah W. Sheldon. Their work appears in journals such as Ticks and Tick-borne Diseases, Journal of Medical Entomology, Parasites & Vectors, Zoonoses and Public Health and Emerging infectious diseases.

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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