Arturo Ramírez-Peralta

431 total citations
24 papers, 327 citations indexed

About

Arturo Ramírez-Peralta is a scholar working on Molecular Biology, Food Science and Biotechnology. According to data from OpenAlex, Arturo Ramírez-Peralta has authored 24 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Food Science and 10 papers in Biotechnology. Recurrent topics in Arturo Ramírez-Peralta's work include Bacillus and Francisella bacterial research (9 papers), Microbial Inactivation Methods (8 papers) and Probiotics and Fermented Foods (5 papers). Arturo Ramírez-Peralta is often cited by papers focused on Bacillus and Francisella bacterial research (9 papers), Microbial Inactivation Methods (8 papers) and Probiotics and Fermented Foods (5 papers). Arturo Ramírez-Peralta collaborates with scholars based in Mexico, United States and Indonesia. Arturo Ramírez-Peralta's co-authors include Peter Setlow, Yong-qing Li, Zhang Peng-fei, Marco Antonio Leyva‐Vázquez, Jeiry Toribio-Jiménez, Sonali Ghosh, Barbara Setlow, Amalia Vences-Velázquez, C.J. Doona and Yaohua Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Journal of Bacteriology.

In The Last Decade

Arturo Ramírez-Peralta

22 papers receiving 324 citations

Peers

Arturo Ramírez-Peralta
Comparison fields: 5 of 65
  • Molecular Biology 211
  • Biotechnology 112
  • Genetics 88
  • Ecology 84
  • Food Science 62
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Solveig Ravnum Norway
Jingliang Ju United States
Laurence Delbrassinne Belgium
Christelle Lemy France
Georgina C. Dowd New Zealand
A Voelker United States
Éric Émond Canada
Mark Mozola United States
Mark S. Waidmann Germany
Margaret Barker United Kingdom
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Citations per field, relative to Arturo Ramírez-Peralta
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Citations per year, relative to Arturo Ramírez-Peralta
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Countries citing papers authored by Arturo Ramírez-Peralta

Since Specialization
Citations

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

Fields of papers citing papers by Arturo Ramírez-Peralta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arturo Ramírez-Peralta. 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 Arturo Ramírez-Peralta. The network helps show where Arturo Ramírez-Peralta may publish in the future.

Co-authorship network of co-authors of Arturo Ramírez-Peralta

This figure shows the co-authorship network connecting the top 25 collaborators of Arturo Ramírez-Peralta. A scholar is included among the top collaborators of Arturo Ramírez-Peralta 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 Arturo Ramírez-Peralta. Arturo Ramírez-Peralta 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
# Work Indexed citations
1 1
2 0
3 3
4 2
5 8
6 2
7 2
8 0
9 13
10 11
11 17
12 2
13 2
14 26
15 14
16
PAI-1 haplogenotype confers genetic susceptibility for obesity and hypertriglyceridemia in Mexican children.
5
17 34
18 17
19 29
20 31

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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