Felipe Aguilar

16 total papers · 469 total citations
14 papers, 408 citations indexed

About

Felipe Aguilar is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Felipe Aguilar has authored 14 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Physiology and 2 papers in Genetics. Recurrent topics in Felipe Aguilar's work include Lipid Membrane Structure and Behavior (12 papers), Erythrocyte Function and Pathophysiology (9 papers) and Protein Interaction Studies and Fluorescence Analysis (4 papers). Felipe Aguilar is often cited by papers focused on Lipid Membrane Structure and Behavior (12 papers), Erythrocyte Function and Pathophysiology (9 papers) and Protein Interaction Studies and Fluorescence Analysis (4 papers). Felipe Aguilar collaborates with scholars based in Chile, United States and Argentina. Felipe Aguilar's co-authors include Carlos P. Sotomayor, Mario Suwalsky, Fernando Villena, Gerardo D. Fidelio, Luís A. Bagatolli, Marco Soto‐Arriaza, Bruno Maggio, Silvia C. Kivatinitz, Patricio Sotomayor and F. Villena and has published in prestigious journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Neurobiology of Aging and Journal of Inorganic Biochemistry.

In The Last Decade

Felipe Aguilar

14 papers receiving 397 citations

Author Peers

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

Author						Papers	Cites
Felipe Aguilar	250	76	64	43	43	14	408
Hoyan S. She	268 1.1×	64 0.8×	38 0.6×	30 0.7×	13 0.3×	17	482
Terry L. Trosper	368 1.5×	39 0.5×	37 0.6×	71 1.7×	14 0.3×	15	481
Kia Balali-Mood	277 1.1×	26 0.3×	95 1.5×	39 0.9×	32 0.7×	18	489
Neslihan Toyran	187 0.7×	37 0.5×	31 0.5×	9 0.2×	30 0.7×	16	442
Maria Teresa Graziani	262 1.0×	39 0.5×	102 1.6×	9 0.2×	19 0.4×	11	468
Grace M. Fimognari	217 0.9×	40 0.5×	15 0.2×	21 0.5×	11 0.3×	8	434
Nataša Tomášková	240 1.0×	33 0.4×	51 0.8×	32 0.7×	10 0.2×	12	399
Regina Politi	294 1.2×	36 0.5×	15 0.2×	43 1.0×	21 0.5×	12	495
Valéria Zs.-Nagy	179 0.7×	87 1.1×	27 0.4×	6 0.1×	18 0.4×	14	462
E. Gallucci	261 1.0×	106 1.4×	28 0.4×	10 0.2×	11 0.3×	22	416

Countries citing papers authored by Felipe Aguilar

Since Specialization

Citations

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

Fields of papers citing papers by Felipe Aguilar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipe Aguilar

This figure shows the co-authorship network connecting the top 25 collaborators of Felipe Aguilar. A scholar is included among the top collaborators of Felipe Aguilar 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 Felipe Aguilar. Felipe Aguilar 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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