Maricel Vidal

624 total citations
10 papers, 509 citations indexed

About

Maricel Vidal is a scholar working on Food Science, Infectious Diseases and Endocrinology. According to data from OpenAlex, Maricel Vidal has authored 10 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Food Science, 6 papers in Infectious Diseases and 6 papers in Endocrinology. Recurrent topics in Maricel Vidal's work include Viral gastroenteritis research and epidemiology (6 papers), Escherichia coli research studies (5 papers) and Salmonella and Campylobacter epidemiology (4 papers). Maricel Vidal is often cited by papers focused on Viral gastroenteritis research and epidemiology (6 papers), Escherichia coli research studies (5 papers) and Salmonella and Campylobacter epidemiology (4 papers). Maricel Vidal collaborates with scholars based in Chile, United States and Nigeria. Maricel Vidal's co-authors include Roberto Vidal, Valeria Prado, Myron M. Levine, Cecilia S. Toro, Rosanna Lagos, David A. Montero, Lisette Lapierre, Aldo Gaggero, Leandro J. Carreño and Betty San Martín and has published in prestigious journals such as Journal of Clinical Microbiology, Frontiers in Microbiology and Microbiology.

In The Last Decade

Maricel Vidal

10 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maricel Vidal Chile 8 288 287 234 141 76 10 509
Anna Cieślik Poland 5 193 0.7× 384 1.3× 113 0.5× 125 0.9× 97 1.3× 7 427
Taru Lienemann Finland 10 187 0.6× 237 0.8× 128 0.5× 70 0.5× 56 0.7× 17 372
Marta Inês Cazentini Medeiros Brazil 13 183 0.6× 267 0.9× 149 0.6× 61 0.4× 102 1.3× 37 432
Ruby Singh United States 9 136 0.5× 318 1.1× 203 0.9× 84 0.6× 75 1.0× 11 470
D. J. Schoonmaker-Bopp United States 9 175 0.6× 384 1.3× 111 0.5× 188 1.3× 91 1.2× 9 475
Thai-An Nguyen United States 13 174 0.6× 361 1.3× 153 0.7× 181 1.3× 31 0.4× 23 505
Shioko Saito Japan 11 344 1.2× 182 0.6× 265 1.1× 52 0.4× 106 1.4× 27 489
Ariela Baschkier Argentina 12 565 2.0× 251 0.9× 444 1.9× 121 0.9× 57 0.8× 21 675
Áine Monaghan Ireland 12 215 0.7× 219 0.8× 179 0.8× 77 0.5× 77 1.0× 12 418
Arne Bent Jensen Switzerland 3 241 0.8× 522 1.8× 128 0.5× 149 1.1× 136 1.8× 3 590

Countries citing papers authored by Maricel Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Maricel Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maricel Vidal

This figure shows the co-authorship network connecting the top 25 collaborators of Maricel Vidal. A scholar is included among the top collaborators of Maricel Vidal 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 Maricel Vidal. Maricel Vidal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Velasco, Juliana, Maricel Vidal, Carolina Arellano, et al.. (2020). Genomic characterization of the non-O1/non-O139 Vibrio cholerae strain that caused a gastroenteritis outbreak in Santiago, Chile, 2018. Microbial Genomics. 6(3). 22 indexed citations
2.
Anyanwu, Madubuike Umunna, et al.. (2020). Occurrence and antibiogram of Listeria species in raw pork, beef, and chicken meats marketed in Enugu State, Southeast Nigeria. Veterinary World. 13(2). 317–325. 7 indexed citations
3.
Montero, David A., et al.. (2019). Ten years of molecular epidemiology surveillance of Listeria monocytogenes in Chile 2008–2017.. Food Microbiology. 85. 103280–103280. 22 indexed citations
4.
Montero, David A., Maricel Vidal, Alexia Torres, et al.. (2017). Characterization of enterotoxigenic Escherichia coli strains isolated from the massive multi-pathogen gastroenteritis outbreak in the Antofagasta region following the Chilean earthquake, 2010. Infection Genetics and Evolution. 52. 26–29. 7 indexed citations
7.
Vidal, Maricel, et al.. (2008). Subtractive hybridization and identification of putative adhesins in a Shiga toxin-producing eae-negative Escherichia coli. Microbiology. 154(12). 3639–3648. 7 indexed citations
8.
Vidal, Maricel, et al.. (2006). Distribution of putative adhesins in Shiga toxin-producingEscherichia coli(STEC) strains isolated from different sources in Chile. Epidemiology and Infection. 135(4). 688–694. 9 indexed citations
9.
Vidal, Maricel, Rosanna Lagos, Myron M. Levine, et al.. (2005). Single Multiplex PCR Assay To Identify Simultaneously the Six Categories of Diarrheagenic Escherichia coli Associated with Enteric Infections. Journal of Clinical Microbiology. 43(10). 5362–5365. 195 indexed citations
10.
Vidal, Roberto, et al.. (2004). Multiplex PCR for Diagnosis of Enteric Infections Associated with Diarrheagenic Escherichia coli. Journal of Clinical Microbiology. 42(4). 1787–1789. 103 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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