M Rivas

1.1k total citations
45 papers, 840 citations indexed

About

M Rivas is a scholar working on Endocrinology, Infectious Diseases and Food Science. According to data from OpenAlex, M Rivas has authored 45 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Endocrinology, 27 papers in Infectious Diseases and 15 papers in Food Science. Recurrent topics in M Rivas's work include Escherichia coli research studies (28 papers), Viral gastroenteritis research and epidemiology (25 papers) and Salmonella and Campylobacter epidemiology (8 papers). M Rivas is often cited by papers focused on Escherichia coli research studies (28 papers), Viral gastroenteritis research and epidemiology (25 papers) and Salmonella and Campylobacter epidemiology (8 papers). M Rivas collaborates with scholars based in Argentina, Paraguay and United States. M Rivas's co-authors include Isabel Chinen, E Miliwebsky, Gerardo A. Leotta, Norma Binsztein, Beatriz García, Marcelo Masana, Gloria I. Viboud, I Orskóv, Christina Åhrén and Ann‐Mari Svennerholm and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

M Rivas

42 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Rivas Argentina 16 659 557 239 122 98 45 840
Malika Gouali France 15 457 0.7× 385 0.7× 294 1.2× 111 0.9× 62 0.6× 21 749
Paula M. A. Lucchesi Argentina 16 557 0.8× 493 0.9× 205 0.9× 88 0.7× 28 0.3× 48 801
Franziska Boerlin-Petzold Switzerland 6 672 1.0× 679 1.2× 309 1.3× 178 1.5× 32 0.3× 6 944
C O Tacket United States 9 439 0.7× 287 0.5× 165 0.7× 57 0.5× 164 1.7× 10 747
João Ramos Costa Andrade Brazil 19 810 1.2× 555 1.0× 346 1.4× 85 0.7× 120 1.2× 32 1.1k
Angus Best United Kingdom 20 721 1.1× 721 1.3× 302 1.3× 105 0.9× 44 0.4× 34 1.1k
Sofie Livio United States 13 425 0.6× 365 0.7× 364 1.5× 53 0.4× 58 0.6× 14 694
Soo-Young Wanda United States 14 297 0.5× 339 0.6× 371 1.6× 88 0.7× 122 1.2× 15 746
J. Christopher Low United Kingdom 17 1.2k 1.9× 923 1.7× 594 2.5× 224 1.8× 54 0.6× 20 1.4k
Linda Guers United States 8 864 1.3× 758 1.4× 400 1.7× 81 0.7× 118 1.2× 8 1.2k

Countries citing papers authored by M Rivas

Since Specialization
Citations

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

Fields of papers citing papers by M Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Rivas

This figure shows the co-authorship network connecting the top 25 collaborators of M Rivas. A scholar is included among the top collaborators of M Rivas 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 M Rivas. M Rivas 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.
Rivas, M, et al.. (2024). Epidemiological characteristics of mortality from infectious intestinal diseases (diarrhea) Paraguay (2015-2019). SHILAP Revista de lepidopterología. 8(1). 84–90. 1 indexed citations
2.
3.
Rivas, M, et al.. (2022). Progresión de los determinantes de factores de riesgo cardiovascular en estudiantes de la Universidad Nacional de Asunción-Paraguay. Memorias del Instituto de Investigaciones en Ciencias de la Salud. 20(1). 64–72.
4.
Martorelli, Luzia Fátima Alves, Daniel A. Vilte, R. J. C. Cantet, et al.. (2017). Shiga toxin-producing Escherichia coli (STEC) O22:H8 isolated from cattle reduces E. coli O157:H7 adherence in vitro and in vivo. Veterinary Microbiology. 208. 8–17. 10 indexed citations
5.
Pianciola, Luis, et al.. (2016). Genetic features of human and bovine Escherichia coli O157:H7 strains isolated in Argentina. International Journal of Medical Microbiology. 306(2). 123–130. 29 indexed citations
6.
Masana, Marcelo, Lucía Galli, Gerardo A. Leotta, et al.. (2011). Genotypic Characterization of Non-O157 Shiga Toxin-Producing Escherichia coli in Beef Abattoirs of Argentina. Journal of Food Protection. 74(12). 2008–2017. 37 indexed citations
7.
Mota, María Inés, et al.. (2010). Bacterial pathogens associated with bloody diarrhea in Uruguayan children.. PubMed. 42(2). 114–7. 24 indexed citations
8.
López, Carolina, et al.. (2008). Brote de enfermedad alimentaria en la localidad de El Huecú, provincia de Neuquén. Revista Argentina de Microbiología. 40(4). 198–203. 7 indexed citations
9.
Varela, Gustavo, Isabel Chinen, E Miliwebsky, et al.. (2008). [Detection and characterization of Shiga toxin-producing Escherichia coli from clinical cases and food in Uruguay].. PubMed. 40(2). 93–100. 14 indexed citations
10.
Rivas, M, E Miliwebsky, Isabel Chinen, et al.. (2006). Characterization and Epidemiologic Subtyping of Shiga Toxin–Producing Escherichia coli Strains Isolated from Hemolytic Uremic Syndrome and Diarrhea Cases in Argentina. Foodborne Pathogens and Disease. 3(1). 88–96. 125 indexed citations
11.
Chinen, Isabel, José Luis Rodríguez Otero, E Miliwebsky, et al.. (2003). Isolation and characterisation of Shiga toxin-producing Escherichia coli O157:H7 from calves in Argentina. Research in Veterinary Science. 74(3). 283–286. 13 indexed citations
12.
Rivas, M, et al.. (2003). [Development and application of a method for isolating Escherichia coli O157:H7 in the city of Gualeguaychú].. PubMed. 34(4). 205–12. 1 indexed citations
13.
Gioffré, Andrea, E Miliwebsky, Ariela Baschkier, et al.. (2002). Detection of Shiga toxin-producing Escherichia coli by PCR in cattle in Argentina. Veterinary Microbiology. 87(4). 301–313. 24 indexed citations
14.
Rivas, M, E Miliwebsky, Beatriz García, et al.. (2000). Intestinal bleeding and occlusion associated with Shiga toxin-producing Escherichia coli O127:H21.. PubMed. 60(2). 249–52. 7 indexed citations
15.
Miliwebsky, E, et al.. (2000). [Isolation of Escherichia coli O157:H7 in storm drains in the city of Mar del Plata with bacterial contamination of fecal origin].. PubMed. 32(3). 161–4. 4 indexed citations
16.
Palermo, Marina S., et al.. (2000). Pretreatment of mice with lipopolysaccharide (LPS) or IL-1β exerts dose-dependent opposite effects on Shiga toxin-2 lethality. Clinical & Experimental Immunology. 119(1). 77–83. 56 indexed citations
17.
Tous, Mònica, et al.. (1998). Differential kinetic patterns for Shiga toxin production by Escherichia coli.. PubMed. 29(4). 167–75. 5 indexed citations
18.
Ibarra, Cristina, et al.. (1996). Water permeability properties of the human small intestine in vitro: effects of Escherichia coli heat-stable enterotoxin.. PubMed. 46(3). 159–67. 2 indexed citations
19.
Rivas, M, et al.. (1995). Antibody Responses against Escherichia coli Heat-Labile Toxin and Colonization Factor Antigens I and II in Argentinian Children. The Journal of Infectious Diseases. 171(4). 1045–1049. 10 indexed citations
20.
Chinen, Isabel, et al.. (1993). [Diagnosis of entero-invasive Escherichia coli associated with diarrhea].. PubMed. 25(1). 27–35. 5 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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