Mario Arias

36 papers receiving 399 citations

Peers

Mario Arias
Comparison fields: 5 of 68
  • Biochemistry 46
  • Biotechnology 56
  • Drug Discovery 1
  • Biomaterials 62
  • Plant Science 156
Replace K. A. Anu Appaiah with:
K. A. Anu Appaiah India
Bruno Oliveira de Veras Brazil
Chang-Young Hong South Korea
Mayara C. S. Barcelos Brazil
Muhammad Hussaan Pakistan
Vanildo Luiz Del Bianchi Brazil
Henrique C. Trevisan Brazil
Sébastien Grec France
Tahira Naz China
Mario Arias relative to K. A. Anu Appaiah India K. A. Anu Appaiah's profile →
Citations per field
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K. A. Anu Appaiah · 1×
Citations per year

Countries citing papers authored by Mario Arias

Since Specialization
Citations

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

Fields of papers citing papers by Mario Arias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mario Arias, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Arias Line = papers co-authored together Mario Arias links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018114
2 201657
3 201646
4 201929
5 202016
6 202015
7 201913
8 201910
9 202110
10 20208
11 20168
12 20177
13 20177
14 20196
15 20216
16 20225
17 20195
18 20105
19 20164
20 20184

About Mario Arias

Mario Arias is a scholar working on Molecular Biology, Plant Science, Biotechnology, Food Science and Biomedical Engineering, having authored 37 papers that have together received 408 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (12 papers), Biofuel production and bioconversion (9 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Fungal Biology and Applications (7 papers), Transgenic Plants and Applications (5 papers), Enzyme Catalysis and Immobilization (5 papers), Essential Oils and Antimicrobial Activity (4 papers) and Phytochemicals and Antioxidant Activities (4 papers). The work is most often cited by research in Biochemistry (46 citations), Biotechnology (56 citations), Drug Discovery (1 citation), Biomaterials (62 citations) and Plant Science (156 citations). Mario Arias has collaborated with scholars based in Colombia, United States and Mexico. Frequent co-authors include Juan Pablo Arias, Karol Zapata, Benjamín Alberto Rojano, José Contreras‐Calderón, Oscar Vega‐Castro, Paulo José do Amaral Sobral, León D. Pérez, J. Felipe Osorio-Tobón, Miguel Ángel Villalobos-López and Mariana Peñuela. Their work appears in journals such as Biotechnology Reports, Brazilian Archives of Biology and Technology, Bioprocess and Biosystems Engineering, Journal of Biotechnology and Plant Cell Tissue and Organ Culture (PCTOC).

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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