Hátylas Azevedo

65 total papers · 807 total citations
35 papers, 521 citations indexed

About

Hátylas Azevedo is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hátylas Azevedo has authored 35 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hátylas Azevedo's work include Bioinformatics and Genomic Networks (5 papers), Receptor Mechanisms and Signaling (4 papers) and Bladder and Urothelial Cancer Treatments (2 papers). Hátylas Azevedo is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Receptor Mechanisms and Signaling (4 papers) and Bladder and Urothelial Cancer Treatments (2 papers). Hátylas Azevedo collaborates with scholars based in Brazil, United States and United Kingdom. Hátylas Azevedo's co-authors include Carlos Alberto Moreira‐Filho, Alessandra Mascarello, Cristiano R. W. Guimarães, Niels Olsen Saraiva Câmara, Martín Roffé, Viviane S. Alves, Rodrigo O. M. A. de Souza, Beatriz A. Castilho, Glaucia N. M. Hajj and Leandro S. M. Miranda and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Hátylas Azevedo

35 papers receiving 514 citations

Author Peers

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

Author						Papers	Cites
Hátylas Azevedo	286	54	51	51	44	35	521
Christine R. Albrightson	204 0.7×	43 0.8×	20 0.4×	84 1.6×	49 1.1×	21	463
Rosalba Serù	207 0.7×	44 0.8×	31 0.6×	45 0.9×	54 1.2×	20	555
S Caltabiano	128 0.4×	86 1.6×	26 0.5×	95 1.9×	18 0.4×	28	536
Wei Jiang	259 0.9×	87 1.6×	52 1.0×	85 1.7×	36 0.8×	40	508
Maria Teresa Rizzo	252 0.9×	82 1.5×	28 0.5×	55 1.1×	32 0.7×	39	597
Marie‐Odile Guimond	277 1.0×	28 0.5×	27 0.5×	31 0.6×	36 0.8×	20	488
Keon‐Hyoung Song	272 1.0×	31 0.6×	24 0.5×	26 0.5×	28 0.6×	26	603
Jian Zhang	186 0.7×	90 1.7×	11 0.2×	42 0.8×	76 1.7×	24	481
Mariela Méndez	295 1.0×	40 0.7×	15 0.3×	26 0.5×	54 1.2×	20	564
Stefania Bellini	222 0.8×	75 1.4×	19 0.4×	46 0.9×	49 1.1×	20	579

Countries citing papers authored by Hátylas Azevedo

Since Specialization

Citations

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

Fields of papers citing papers by Hátylas Azevedo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hátylas Azevedo

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