Sarah E. Maes

679 total citations
28 papers, 471 citations indexed

About

Sarah E. Maes is a scholar working on Parasitology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Sarah E. Maes has authored 28 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Parasitology, 24 papers in Infectious Diseases and 12 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Sarah E. Maes's work include Vector-borne infectious diseases (27 papers), Viral Infections and Vectors (24 papers) and Vector-Borne Animal Diseases (12 papers). Sarah E. Maes is often cited by papers focused on Vector-borne infectious diseases (27 papers), Viral Infections and Vectors (24 papers) and Vector-Borne Animal Diseases (12 papers). Sarah E. Maes collaborates with scholars based in United States. Sarah E. Maes's co-authors include Rebecca J. Eisen, Christine B. Graham, Andrias Hojgaard, Erik Foster, Karen A. Boegler, Tammi L. Johnson, Lynn M. Osikowicz, Mark J. Delorey, David F. Neitzel and Jenna Bjork and has published in prestigious journals such as Frontiers in Microbiology, Emerging infectious diseases and Journal of Medical Entomology.

In The Last Decade

Sarah E. Maes

24 papers receiving 465 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sarah E. Maes United States 13 453 406 172 129 99 28 471
Stefan Pachnicke Germany 12 417 0.9× 367 0.9× 210 1.2× 52 0.4× 67 0.7× 14 430
Adam J. Replogle United States 15 425 0.9× 366 0.9× 161 0.9× 112 0.9× 112 1.1× 25 439
Martin B. Castro United States 8 357 0.8× 334 0.8× 106 0.6× 99 0.8× 105 1.1× 9 396
Maria L. Zambrano United States 10 521 1.2× 429 1.1× 180 1.0× 191 1.5× 103 1.0× 15 540
Vivian Kjelland Norway 14 422 0.9× 384 0.9× 224 1.3× 93 0.7× 53 0.5× 21 452
Olga Katargina Estonia 10 330 0.7× 304 0.7× 146 0.8× 110 0.9× 60 0.6× 11 408
Anna M. Schotthoefer United States 13 373 0.8× 334 0.8× 105 0.6× 169 1.3× 55 0.6× 22 431
Maciej Kowalec Poland 11 452 1.0× 391 1.0× 236 1.4× 50 0.4× 68 0.7× 19 488
Xue-Bing Ni China 8 305 0.7× 282 0.7× 131 0.8× 99 0.8× 55 0.6× 11 332
Katrine M. Paulsen Norway 11 317 0.7× 334 0.8× 153 0.9× 163 1.3× 63 0.6× 21 396

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-authorship network of co-authors of Sarah E. Maes

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah E. Maes. A scholar is included among the top collaborators of Sarah E. Maes 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 Sarah E. Maes. Sarah E. Maes 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
1.
Burtis, James C., et al.. (2026). Geographic variation in risk of blacklegged tick-borne coinfections in the eastern United States. Ticks and Tick-borne Diseases. 17(2). 102610–102610.
3.
Bai, Ying, et al.. (2024). No evidence of Bartonella infections in host-seeking Ixodes scapularis and Ixodes pacificus ticks in the United States. Parasites & Vectors. 17(1). 345–345. 1 indexed citations
4.
Bai, Ying, Lynn M. Osikowicz, J. Alan Clark, et al.. (2024). Bartonella infections are rare in blood-fed Ixodes scapularis and Ixodes pacificus ticks collected from rodents in the United States. Parasites & Vectors. 17(1). 442–442.
6.
Osikowicz, Lynn M., Sarah E. Maes, Rebecca J. Eisen, & Andrias Hojgaard. (2024). A next generation sequencing assay combining Ixodes species identification with pathogen detection to support tick surveillance efforts in the United States. Ticks and Tick-borne Diseases. 15(4). 102343–102343. 7 indexed citations
7.
Osikowicz, Lynn M., et al.. (2023). Detection of Borrelia burgdorferi sensu lato species in host-seeking Ixodes species ticks in the United States. Ticks and Tick-borne Diseases. 15(1). 102270–102270. 4 indexed citations
8.
Osikowicz, Lynn M., Andrias Hojgaard, Sarah E. Maes, Rebecca J. Eisen, & Mark D. Stenglein. (2023). A bioinformatics pipeline for a tick pathogen surveillance multiplex amplicon sequencing assay. Ticks and Tick-borne Diseases. 14(5). 102207–102207. 10 indexed citations
9.
Bai, Ying, Sarah E. Maes, Adam J. Replogle, et al.. (2023). A serological assay to detect and differentiate rodent exposure to soft tick and hard tick relapsing fever infections in the United States. Ticks and Tick-borne Diseases. 14(4). 102167–102167.
11.
Martin, Alynn M., et al.. (2023). Deer management generally reduces densities of nymphal Ixodes scapularis, but not prevalence of infection with Borrelia burgdorferi sensu stricto. Ticks and Tick-borne Diseases. 14(5). 102202–102202. 2 indexed citations
14.
Hojgaard, Andrias, Lynn M. Osikowicz, Sarah E. Maes, Lars Eisen, & Rebecca J. Eisen. (2021). Detection of Genetic Variability in Borrelia miyamotoi (Spirochaetales: Spirochaetaceae) Between and Within the Eastern and Western United States. Journal of Medical Entomology. 58(6). 2154–2160. 12 indexed citations
15.
Maes, Sarah E., et al.. (2020). Prevalence of single and coinfections of human pathogens in Ixodes ticks from five geographical regions in the United States, 2013–2019. Ticks and Tick-borne Diseases. 12(2). 101637–101637. 49 indexed citations
16.
Johnson, Tammi L., Christine B. Graham, Sarah E. Maes, et al.. (2018). Prevalence and distribution of seven human pathogens in host-seeking Ixodes scapularis (Acari: Ixodidae) nymphs in Minnesota, USA. Ticks and Tick-borne Diseases. 9(6). 1499–1507. 50 indexed citations
17.
Hahn, Micah B., Jenna Bjork, David F. Neitzel, et al.. (2017). Evaluating acarological risk for exposure to Ixodes scapularis and Ixodes scapularis-borne pathogens in recreational and residential settings in Washington County, Minnesota. Ticks and Tick-borne Diseases. 9(2). 340–348. 31 indexed citations
18.
Graham, Christine B., et al.. (2017). A molecular algorithm to detect and differentiate human pathogens infecting Ixodes scapularis and Ixodes pacificus (Acari: Ixodidae). Ticks and Tick-borne Diseases. 9(2). 390–403. 38 indexed citations
19.
Johnson, Tammi L., Christine B. Graham, Andrias Hojgaard, et al.. (2017). Isolation of the Lyme Disease Spirochete Borrelia mayonii From Naturally Infected Rodents in Minnesota. Journal of Medical Entomology. 54(4). 1088–1092. 40 indexed citations
20.
Johnson, Tammi L., Christine B. Graham, Karen A. Boegler, et al.. (2016). Prevalence and Diversity of Tick-Borne Pathogens in NymphalIxodes scapularis(Acari: Ixodidae) in Eastern National Parks. Journal of Medical Entomology. 54(3). tjw213–tjw213. 40 indexed citations

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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