Rogério Pazetti

74 total papers · 580 total citations
37 papers, 399 citations indexed

About

Rogério Pazetti is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Rogério Pazetti has authored 37 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 22 papers in Pulmonary and Respiratory Medicine and 6 papers in Biomedical Engineering. Recurrent topics in Rogério Pazetti's work include Transplantation: Methods and Outcomes (19 papers), Tracheal and airway disorders (8 papers) and Organ Transplantation Techniques and Outcomes (7 papers). Rogério Pazetti is often cited by papers focused on Transplantation: Methods and Outcomes (19 papers), Tracheal and airway disorders (8 papers) and Organ Transplantation Techniques and Outcomes (7 papers). Rogério Pazetti collaborates with scholars based in Brazil, Portugal and Canada. Rogério Pazetti's co-authors include Fábio Biscegli Jatene, Paulo Manuel Pêgo‐Fernandes, Vera Luíza Capelozzi, José Ribas Milanez de Campos, Francisco S. Vargas, Francine Maria de Almeida, Geraldo Lorenzi‐Filho, Paulo Francisco Guerreiro Cardoso, Paulo Hilário Nascimento Saldiva and Rodolfo P. Vieira and has published in prestigious journals such as PLoS ONE, CHEST Journal and Nutrients.

In The Last Decade

Rogério Pazetti

37 papers receiving 388 citations

Author Peers

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

Author						Papers	Cites
Rogério Pazetti	231	209	48	40	34	37	399
Tadashi Higuchi	108 0.5×	145 0.7×	39 0.8×	14 0.3×	24 0.7×	35	384
Johan Poulsen	129 0.6×	236 1.1×	53 1.1×	46 1.1×	10 0.3×	32	420
Endre Bráth	77 0.3×	231 1.1×	55 1.1×	44 1.1×	22 0.6×	47	378
Ferdinando Latteri	93 0.4×	140 0.7×	94 2.0×	25 0.6×	17 0.5×	19	423
Davut Sinan Kaplan	149 0.6×	186 0.9×	17 0.4×	28 0.7×	17 0.5×	39	415
I. Otremski	58 0.3×	98 0.5×	41 0.9×	24 0.6×	51 1.5×	33	362
Masataka Kojima	91 0.4×	134 0.6×	55 1.1×	58 1.4×	69 2.0×	30	378
Dai Kimura	142 0.6×	127 0.6×	53 1.1×	24 0.6×	12 0.4×	41	441
K. Katsenis	174 0.8×	219 1.0×	16 0.3×	22 0.6×	15 0.4×	36	426
Motoi Mukai	133 0.6×	275 1.3×	19 0.4×	30 0.8×	10 0.3×	41	396

Countries citing papers authored by Rogério Pazetti

Since Specialization

Citations

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

Fields of papers citing papers by Rogério Pazetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rogério Pazetti

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