Feres Chaddad-Neto

244 total papers · 1.3k total citations
112 papers, 642 citations indexed

About

Feres Chaddad-Neto is a scholar working on Neurology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Feres Chaddad-Neto has authored 112 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Neurology, 51 papers in Epidemiology and 21 papers in Cellular and Molecular Neuroscience. Recurrent topics in Feres Chaddad-Neto's work include Intracranial Aneurysms: Treatment and Complications (47 papers), Meningioma and schwannoma management (47 papers) and Vascular Malformations Diagnosis and Treatment (46 papers). Feres Chaddad-Neto is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (47 papers), Meningioma and schwannoma management (47 papers) and Vascular Malformations Diagnosis and Treatment (46 papers). Feres Chaddad-Neto collaborates with scholars based in Brazil, United States and Italy. Feres Chaddad-Neto's co-authors include Marcos Devanir Silva da Costa, Sérgio Cavalheiro, Guilherme Carvalhal Ribas, Evandro de Oliveira, Kaan Yağmurlu, Ricardo Silva Centeno, Jardel Mendonça Nicácio, M. Faria, Albert L. Rhoton and Richard Gonzalo Párraga and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Feres Chaddad-Neto

90 papers receiving 633 citations

Author Peers

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

Author						Papers	Cites
Feres Chaddad-Neto	399	289	179	103	68	112	642
Alice Giotta Lucifero	268 0.7×	192 0.7×	167 0.9×	54 0.5×	88 1.3×	73	676
George Fotakopoulos	315 0.8×	157 0.5×	156 0.9×	68 0.7×	73 1.1×	88	659
Takenori Akiyama	266 0.7×	174 0.6×	241 1.3×	51 0.5×	58 0.9×	84	589
Sanford P.C. Hsu	354 0.9×	215 0.7×	132 0.7×	145 1.4×	88 1.3×	62	763
Sebastião Gusmão	325 0.8×	183 0.6×	188 1.1×	91 0.9×	132 1.9×	68	696
Ken Matsushima	415 1.0×	350 1.2×	222 1.2×	83 0.8×	47 0.7×	59	639
Lucas P. Carlstrom	271 0.7×	217 0.8×	286 1.6×	123 1.2×	64 0.9×	108	705
Charles Kulwin	428 1.1×	285 1.0×	180 1.0×	156 1.5×	112 1.6×	46	724
José Carlos Esteves Veiga	309 0.8×	156 0.5×	190 1.1×	42 0.4×	50 0.7×	108	660
Igor Paredes	337 0.8×	181 0.6×	295 1.6×	63 0.6×	39 0.6×	72	668

Countries citing papers authored by Feres Chaddad-Neto

Since Specialization

Citations

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

Fields of papers citing papers by Feres Chaddad-Neto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feres Chaddad-Neto. 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 Feres Chaddad-Neto. The network helps show where Feres Chaddad-Neto may publish in the future.

Co-authorship network of co-authors of Feres Chaddad-Neto

This figure shows the co-authorship network connecting the top 25 collaborators of Feres Chaddad-Neto. A scholar is included among the top collaborators of Feres Chaddad-Neto 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 Feres Chaddad-Neto. Feres Chaddad-Neto 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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