Mario E. Flores

46 total papers · 522 total citations
38 papers, 408 citations indexed

About

Mario E. Flores is a scholar working on Materials Chemistry, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Mario E. Flores has authored 38 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 12 papers in Organic Chemistry and 12 papers in Biomedical Engineering. Recurrent topics in Mario E. Flores's work include Luminescence and Fluorescent Materials (7 papers), Advanced Polymer Synthesis and Characterization (6 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Mario E. Flores is often cited by papers focused on Luminescence and Fluorescent Materials (7 papers), Advanced Polymer Synthesis and Characterization (6 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Mario E. Flores collaborates with scholars based in Chile, Japan and Spain. Mario E. Flores's co-authors include Ignacio Moreno‐Villoslada, Hiroyuki Nishide, Rodrigo Araya‐Hermosilla, Francesco Picchioni, Toshimichi Shibue, Andrés F. Olea, Patrizio Raffa, Andrea Pucci, A.A. Broekhuis and Ranjita K. Bose and has published in prestigious journals such as The Journal of Physical Chemistry B, Journal of Agricultural and Food Chemistry and Journal of Catalysis.

In The Last Decade

Mario E. Flores

32 papers receiving 405 citations

Author Peers

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

Author						Papers	Cites
Mario E. Flores	143	124	121	119	84	38	408
Xin Xu	173 1.2×	142 1.1×	157 1.3×	56 0.5×	122 1.5×	27	480
Abdülkadir Allı	84 0.6×	164 1.3×	87 0.7×	158 1.3×	171 2.0×	34	460
Andrea Scamporrino	130 0.9×	65 0.5×	32 0.3×	132 1.1×	67 0.8×	30	372
Е. А. Литманович	125 0.9×	190 1.5×	121 1.0×	110 0.9×	79 0.9×	53	486
Kadem Al-Lameé	44 0.3×	103 0.8×	112 0.9×	74 0.6×	119 1.4×	35	406
Zhecheng Zhang	195 1.4×	147 1.2×	167 1.4×	73 0.6×	65 0.8×	24	420
Rolf Schmidt	101 0.7×	174 1.4×	83 0.7×	49 0.4×	138 1.6×	27	477
Mina Sakuragi	91 0.6×	117 0.9×	66 0.5×	28 0.2×	116 1.4×	50	440
Yujie Shi	91 0.6×	82 0.7×	124 1.0×	29 0.2×	25 0.3×	35	457
Emmanuel Mignard	110 0.8×	219 1.8×	218 1.8×	88 0.7×	41 0.5×	25	478

Countries citing papers authored by Mario E. Flores

Since Specialization

Citations

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

Fields of papers citing papers by Mario E. Flores

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario E. Flores

This figure shows the co-authorship network connecting the top 25 collaborators of Mario E. Flores. A scholar is included among the top collaborators of Mario E. Flores 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 Mario E. Flores. Mario E. Flores 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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