María Isabel Rojas

597 total citations
11 papers, 348 citations indexed

About

María Isabel Rojas is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine and Modeling and Simulation. According to data from OpenAlex, María Isabel Rojas has authored 11 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Modeling and Simulation. Recurrent topics in María Isabel Rojas's work include SARS-CoV-2 detection and testing (4 papers), COVID-19 epidemiological studies (3 papers) and Infection Control and Ventilation (3 papers). María Isabel Rojas is often cited by papers focused on SARS-CoV-2 detection and testing (4 papers), COVID-19 epidemiological studies (3 papers) and Infection Control and Ventilation (3 papers). María Isabel Rojas collaborates with scholars based in United States, Ecuador and Belgium. María Isabel Rojas's co-authors include Forest Rohwer, Giuliano Netto Flores Cruz, Shr-Hau Hung, Natasha Bonilla, Jeremy J. Barr, Kyle Levi, Katelyn McNair, Daniel Cuevas, Lance Boling and Ben Knowles and has published in prestigious journals such as SHILAP Revista de lepidopterología, Viruses and Gut Microbes.

In The Last Decade

María Isabel Rojas

7 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María Isabel Rojas United States 5 247 118 86 74 55 11 348
Shr-Hau Hung United States 5 242 1.0× 136 1.2× 51 0.6× 76 1.0× 53 1.0× 7 319
Ben Burrowes United States 4 311 1.3× 151 1.3× 70 0.8× 148 2.0× 71 1.3× 14 397
Stephanie Fong Australia 7 237 1.0× 128 1.1× 57 0.7× 140 1.9× 119 2.2× 10 482
Xin Tan China 11 117 0.5× 226 1.9× 94 1.1× 80 1.1× 36 0.7× 28 420
Julia Garbe Sweden 7 193 0.8× 315 2.7× 72 0.8× 108 1.5× 59 1.1× 8 552
Leila Kvachadze United States 6 355 1.4× 153 1.3× 81 0.9× 154 2.1× 59 1.1× 13 415
Magdalena Kwiatek Poland 11 375 1.5× 262 2.2× 87 1.0× 207 2.8× 48 0.9× 14 540
Lidia Mizak Poland 8 278 1.1× 176 1.5× 42 0.5× 156 2.1× 34 0.6× 12 362
Sylwia Parasion Poland 7 361 1.5× 190 1.6× 74 0.9× 203 2.7× 47 0.9× 7 417
Martina Rossitto Italy 5 213 0.9× 189 1.6× 40 0.5× 110 1.5× 44 0.8× 15 381

Countries citing papers authored by María Isabel Rojas

Since Specialization
Citations

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

Fields of papers citing papers by María Isabel Rojas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Isabel Rojas. 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 María Isabel Rojas. The network helps show where María Isabel Rojas may publish in the future.

Co-authorship network of co-authors of María Isabel Rojas

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

All Works

11 of 11 papers shown
1.
Rojas, María Isabel. (2022). la ocupación al COVID, pasando por los M.E.N.A.S. El diálogo semipresencial como metodología innovadora de aprendizaje antropológico. SHILAP Revista de lepidopterología. 197–217. 2 indexed citations
2.
Rojas, María Isabel, et al.. (2021). Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs. Journal of Visualized Experiments. 1 indexed citations
3.
4.
Rojas, María Isabel, Steven S. Giles, Mark P. Little, et al.. (2021). Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs. Journal of Visualized Experiments.
5.
Rojas, María Isabel, Giselle S. Cavalcanti, Katelyn McNair, et al.. (2020). A Distinct Contractile Injection System Gene Cluster Found in a Majority of Healthy Adult Human Microbiomes. mSystems. 5(4). 9 indexed citations
6.
Salido, Rodolfo A., Sydney Morgan, María Isabel Rojas, et al.. (2020). Handwashing and Detergent Treatment Greatly Reduce SARS-CoV-2 Viral Load on Halloween Candy Handled by COVID-19 Patients. mSystems. 5(6). 10 indexed citations
7.
Boling, Lance, Daniel Cuevas, Juris A. Grasis, et al.. (2020). Dietary prophage inducers and antimicrobials: toward landscaping the human gut microbiome. Gut Microbes. 11(4). 721–734. 73 indexed citations
8.
Bonilla, Natasha, María Isabel Rojas, Giuliano Netto Flores Cruz, et al.. (2016). Phage on tap–a quick and efficient protocol for the preparation of bacteriophage laboratory stocks. PeerJ. 4. e2261–e2261. 240 indexed citations
9.
10.
Rojas, María Isabel, et al.. (2013). Detección de Coxiella burnetii en leche de bovinos domésticos del Ecuador. SHILAP Revista de lepidopterología. 5(1). 1 indexed citations
11.
Rojas, María Isabel, et al.. (2008). Características clínicas y hormonales del síndrome de insensibilidad a andrógenos. 16–21. 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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