Rafael Álvarez

30 total papers · 1.3k total citations
23 papers, 1000 citations indexed

About

Rafael Álvarez is a scholar working on Plant Science, Food Science and Biochemistry. According to data from OpenAlex, Rafael Álvarez has authored 23 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 7 papers in Food Science and 6 papers in Biochemistry. Recurrent topics in Rafael Álvarez's work include Phytochemicals and Antioxidant Activities (5 papers), Essential Oils and Antimicrobial Activity (4 papers) and Diet and metabolism studies (3 papers). Rafael Álvarez is often cited by papers focused on Phytochemicals and Antioxidant Activities (5 papers), Essential Oils and Antimicrobial Activity (4 papers) and Diet and metabolism studies (3 papers). Rafael Álvarez collaborates with scholars based in Colombia, Spain and United States. Rafael Álvarez's co-authors include Jelver Sierra, Juan S. Escobar, Eliana P. Velásquez-Mejía, Edison Osorio, Jenny Andrea Carmona, Noel T. Mueller, Vanessa Corrales-Agudelo, Jacobo de la Cuesta‐Zuluaga, José M. Abad and Óscar J. Lara-Guzmán and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Journal of Agricultural and Food Chemistry.

In The Last Decade

Rafael Álvarez

23 papers receiving 963 citations

Hit Papers

Higher Fecal Short-Chain ... 2018 2026 2020 2023 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rafael Álvarez 482 290 141 139 100 23 1000
Betül Kocaadam‐Bozkurt 386 0.8× 155 0.5× 115 0.8× 119 0.9× 47 0.5× 30 1.2k
Hongyi Shen 453 0.9× 217 0.7× 117 0.8× 55 0.4× 74 0.7× 19 1.2k
T Adamek-Guzik 372 0.8× 224 0.8× 154 1.1× 114 0.8× 43 0.4× 22 1.2k
Marília F. Manchope 424 0.9× 235 0.8× 174 1.2× 155 1.1× 74 0.7× 26 1.2k
Shashi Gupta 389 0.8× 212 0.7× 245 1.7× 74 0.5× 84 0.8× 36 1.2k
Nemat Khansari 343 0.7× 223 0.8× 84 0.6× 77 0.6× 43 0.4× 35 1.1k
Min‐Sook Kang 447 0.9× 232 0.8× 97 0.7× 64 0.5× 56 0.6× 41 936
Anca Ungurianu 440 0.9× 209 0.7× 70 0.5× 84 0.6× 57 0.6× 41 1.2k
Emmanuel Mukwevho 454 0.9× 199 0.7× 156 1.1× 51 0.4× 88 0.9× 38 1.1k
Ruo-Gu Xiong 457 0.9× 222 0.8× 93 0.7× 107 0.8× 30 0.3× 31 1.1k

Countries citing papers authored by Rafael Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Álvarez

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

All Works

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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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