Mailis Maes

7.8k total citations
33 papers, 343 citations indexed

About

Mailis Maes is a scholar working on Epidemiology, Infectious Diseases and Endocrinology. According to data from OpenAlex, Mailis Maes has authored 33 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Infectious Diseases and 8 papers in Endocrinology. Recurrent topics in Mailis Maes's work include Salmonella and Campylobacter epidemiology (8 papers), Vibrio bacteria research studies (6 papers) and Tuberculosis Research and Epidemiology (6 papers). Mailis Maes is often cited by papers focused on Salmonella and Campylobacter epidemiology (8 papers), Vibrio bacteria research studies (6 papers) and Tuberculosis Research and Epidemiology (6 papers). Mailis Maes collaborates with scholars based in United Kingdom, Venezuela and United States. Mailis Maes's co-authors include Jacobus H. de Waard, Julian A. Villalba, Dick van Soolingen, Stephen Baker, Lilly M. Verhagen, Kristin Kremer, Peter W. M. Hermans, Howard Takiff, Gordon Dougan and Aldert Zomer and has published in prestigious journals such as PLoS ONE, Nature Reviews Microbiology and Clinical Infectious Diseases.

In The Last Decade

Mailis Maes

32 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mailis Maes United Kingdom 10 182 156 72 68 43 33 343
Boonchuay Eampokalap Thailand 9 230 1.3× 222 1.4× 48 0.7× 57 0.8× 49 1.1× 16 369
Benjamin J. Espinosa United States 11 220 1.2× 248 1.6× 46 0.6× 99 1.5× 44 1.0× 15 569
H. Thaker United Kingdom 11 132 0.7× 101 0.6× 46 0.6× 64 0.9× 25 0.6× 21 299
Victoria Fernández‐Baca Spain 11 168 0.9× 128 0.8× 42 0.6× 81 1.2× 71 1.7× 24 407
Virginia Rodríguez Spain 16 297 1.6× 240 1.5× 30 0.4× 51 0.8× 60 1.4× 36 494
Lahari Saikia India 14 256 1.4× 159 1.0× 31 0.4× 45 0.7× 72 1.7× 49 510
Hyun Kim Japan 11 201 1.1× 119 0.8× 57 0.8× 43 0.6× 23 0.5× 31 347
Manuela Onori Italy 9 206 1.1× 142 0.9× 18 0.3× 42 0.6× 40 0.9× 17 383
P. Kumar India 14 172 0.9× 133 0.9× 45 0.6× 77 1.1× 27 0.6× 36 428
C. S. S. Bello Nigeria 10 159 0.9× 133 0.9× 33 0.5× 34 0.5× 25 0.6× 30 379

Countries citing papers authored by Mailis Maes

Since Specialization
Citations

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

Fields of papers citing papers by Mailis Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mailis Maes

This figure shows the co-authorship network connecting the top 25 collaborators of Mailis Maes. A scholar is included among the top collaborators of Mailis 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 Mailis Maes. Mailis 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.
Kyany’a, Cecilia, et al.. (2024). Leave no transcripts behind. Nature Reviews Microbiology. 22(9). 527–527. 1 indexed citations
2.
Maes, Mailis, Fahad Khokhar, Andrew D. Smith, et al.. (2023). Multiplex MinION sequencing suggests enteric adenovirus F41 genetic diversity comparable to pre-COVID-19 era. Microbial Genomics. 9(1). 5 indexed citations
3.
Morris, Andrew Conway, Martin D. Curran, Deborah White, et al.. (2023). The rapid detection of respiratory pathogens in critically ill children. Critical Care. 27(1). 11–11. 5 indexed citations
4.
Hamilton, William L., Mailis Maes, Ben Warne, et al.. (2023). The clinical, genomic, and microbiological profile of invasive multi-drug resistant Escherichia coli in a major teaching hospital in the United Kingdom. Microbial Genomics. 9(10). 1 indexed citations
5.
Lagos, Rosanna, Michael J. Sikorski, Juan Carlos Hormazábal, et al.. (2023). Detecting Residual Chronic Salmonella Typhi Carriers on the Road to Typhoid Elimination in Santiago, Chile, 2017–2019. The Journal of Infectious Diseases. 230(2). e254–e267. 2 indexed citations
6.
Maes, Mailis, Michael J. Sikorski, Megan E. Carey, et al.. (2022). Whole genome sequence analysis of Salmonella Typhi provides evidence of phylogenetic linkage between cases of typhoid fever in Santiago, Chile in the 1980s and 2010–2016. PLoS neglected tropical diseases. 16(6). e0010178–e0010178. 8 indexed citations
7.
Díaz, Paula, Mailis Maes, Duy Pham Thanh, et al.. (2021). A genomic snapshot of Salmonella enterica serovar Typhi in Colombia. PLoS neglected tropical diseases. 15(9). e0009755–e0009755. 4 indexed citations
8.
9.
Kean, Iain, Martin D. Curran, Fahad Khokhar, et al.. (2021). Rapid Assay for Sick Children with Acute Lung infection Study (RASCALS): diagnostic cohort study protocol. BMJ Open. 11(11). e056197–e056197. 3 indexed citations
10.
Carey, Megan E., M. Yousuf, Mailis Maes, et al.. (2020). Spontaneous Emergence of Azithromycin Resistance in Independent Lineages of Salmonella Typhi in Northern India. Clinical Infectious Diseases. 72(5). e120–e127. 35 indexed citations
11.
Díaz, Paula, Carolina Duarte, Mailis Maes, et al.. (2020). Surveillance of Salmonella enterica serovar  Typhi in Colombia, 2012–2015. PLoS neglected tropical diseases. 14(3). e0008040–e0008040. 8 indexed citations
12.
Maes, Mailis, Zoe A. Dyson, Sarah E. Smith, et al.. (2020). A novel therapeutic antibody screening method using bacterial high-content imaging reveals functional antibody binding phenotypes of Escherichia coli ST131. Scientific Reports. 10(1). 12414–12414. 11 indexed citations
13.
Loureiro, Carmen L., Julian A. Villalba, Mailis Maes, et al.. (2018). Decreasing prevalence of Hepatitis B and absence of Hepatitis C Virus infection in the Warao indigenous population of Venezuela. PLoS ONE. 13(5). e0197662–e0197662. 12 indexed citations
14.
Rangel, Héctor R., Gonzalo Bello, Julian A. Villalba, et al.. (2015). The Evolving HIV-1 Epidemic in Warao Amerindians Is Dominated by an Extremely High Frequency of CXCR4-Utilizing Strains. AIDS Research and Human Retroviruses. 31(12). 1265–1268. 3 indexed citations
15.
16.
Verhagen, Lilly M., Peter W. M. Hermans, Adilia Warris, et al.. (2012). Helminths and skewed cytokine profiles increase tuberculin skin test positivity in Warao Amerindians. Tuberculosis. 92(6). 505–512. 27 indexed citations
17.
Maes, Mailis, et al.. (2011). The stability of human, bovine and avian tuberculin purified protein derivative (PPD). The Journal of Infection in Developing Countries. 5(11). 781–785. 8 indexed citations
18.
Maes, Mailis, et al.. (2010). Antibiotic resistance. Revista de Salud Pública. 12. 39–39. 9 indexed citations
19.
Maes, Mailis, Kristin Kremer, Dick van Soolingen, Howard Takiff, & Jacobus H. de Waard. (2008). 24-Locus MIRU-VNTR genotyping is a useful tool to study the molecular epidemiology of tuberculosis among Warao Amerindians in Venezuela. Tuberculosis. 88(5). 490–494. 44 indexed citations
20.
Maes, Mailis, et al.. (1999). Bacterial communities associated with slow sand filtration and closed plant growth systems. 1 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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