Brasil Silva Neto

112 total papers · 907 total citations
38 papers, 650 citations indexed

About

Brasil Silva Neto is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Urology. According to data from OpenAlex, Brasil Silva Neto has authored 38 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 12 papers in Pulmonary and Respiratory Medicine and 11 papers in Urology. Recurrent topics in Brasil Silva Neto's work include Bladder and Urothelial Cancer Treatments (8 papers), Prostate Cancer Diagnosis and Treatment (8 papers) and Urological Disorders and Treatments (6 papers). Brasil Silva Neto is often cited by papers focused on Bladder and Urothelial Cancer Treatments (8 papers), Prostate Cancer Diagnosis and Treatment (8 papers) and Urological Disorders and Treatments (6 papers). Brasil Silva Neto collaborates with scholars based in Brazil, United States and Uruguay. Brasil Silva Neto's co-authors include Kimberly Rieger‐Christ, Ian C. Summerhayes, John A. Libertino, Ron Zeheb, Massimo Loda, Michael S. Cohen, Patrick A. Kenney, Micah A. Jacobs, Matthew Wszolek and Chad Wotkowicz and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and The Journal of Urology.

In The Last Decade

Brasil Silva Neto

34 papers receiving 635 citations

Author Peers

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

Author Last Decade Papers Cites
Brasil Silva Neto 411 248 225 122 107 38 650
Juanjie Bo 373 0.9× 198 0.8× 160 0.7× 176 1.4× 118 1.1× 24 673
Renfang Xu 360 0.9× 310 1.3× 104 0.5× 141 1.2× 146 1.4× 50 686
Hellen Kuasne 304 0.7× 189 0.8× 139 0.6× 107 0.9× 94 0.9× 29 619
Shaopeng Qiu 468 1.1× 234 0.9× 155 0.7× 194 1.6× 178 1.7× 38 780
Jiwen Cheng 352 0.9× 156 0.6× 107 0.5× 150 1.2× 173 1.6× 35 653
Nobuyuki Yanagisawa 321 0.8× 126 0.5× 233 1.0× 221 1.8× 179 1.7× 41 703
Yong Soon Chun 250 0.6× 121 0.5× 182 0.8× 119 1.0× 98 0.9× 39 672
Zhenghui Guo 357 0.9× 239 1.0× 164 0.7× 100 0.8× 127 1.2× 34 655
Deyong Yang 362 0.9× 118 0.5× 112 0.5× 119 1.0× 97 0.9× 35 558
Yang Yu 269 0.7× 260 1.0× 184 0.8× 207 1.7× 330 3.1× 55 733

Countries citing papers authored by Brasil Silva Neto

Since Specialization
Citations

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

Fields of papers citing papers by Brasil Silva Neto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brasil Silva 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 Brasil Silva Neto. The network helps show where Brasil Silva Neto may publish in the future.

Co-authorship network of co-authors of Brasil Silva Neto

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