María Isabel Rojas

597 citations
11 papers · 348 indexed · h-index 5
Topics
SARS-CoV-2 detection and testing (4 papers)COVID-19 epidemiological studies (3 papers)Infection Control and Ventilation (3 papers)
Journals
SHILAP Revista de lepidopterologíaVirusesGut Microbes

In The Last Decade

María Isabel Rojas

7 papers receiving 340 citations

Peers

María Isabel Rojas
Comparison fields: 5 of 77
  • Ecology 247
  • Molecular Biology 118
  • Infectious Diseases 86
  • Microbiology 74
  • Plant Science 55
Replace Shr-Hau Hung with:
Shr-Hau Hung United States
Yen‐Te Liao United States
Matthieu Galtier France
Gamaliel López-Leal Mexico
An Van den Bossche Belgium
Ben Burrowes United States
Quentin Lamy-Besnier France
Guillermo Rangel-Piñeros Colombia
Elisabeth Moncaut France
Michael Koeris United States
María Isabel Rojas relative to Shr-Hau Hung United States Shr-Hau Hung's profile →
Citations per field
00.5×1.7×
Shr-Hau Hung · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 1
3 11
4 0
5 9
6 10
7 73
8 240
9 0
10 1
11 1

About María Isabel Rojas

María Isabel Rojas is a scholar working on Modeling and Simulation, Infectious Diseases and General Social Sciences, having authored 11 papers that have together received 348 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (4 papers), COVID-19 epidemiological studies (3 papers) and Infection Control and Ventilation (3 papers). The work is most often cited by research in Microbiology (74 citations), Ecology (247 citations) and Endocrinology (49 citations). María Isabel Rojas has collaborated with scholars based in United States, Ecuador and Belgium. Frequent co-authors include Forest Rohwer, Jeremy J. Barr, Giuliano Netto Flores Cruz, Shr-Hau Hung, Natasha Bonilla, Katelyn McNair, Kyle Levi, Cameron A. Smurthwaite, Daniel Cuevas and Ben Knowles. Their work appears in journals such as SHILAP Revista de lepidopterología, Viruses and Gut Microbes.

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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