Phillipe Abreu

155 total papers · 605 total citations
44 papers, 266 citations indexed

About

Phillipe Abreu is a scholar working on Surgery, Hepatology and Oncology. According to data from OpenAlex, Phillipe Abreu has authored 44 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 15 papers in Hepatology and 11 papers in Oncology. Recurrent topics in Phillipe Abreu's work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Organ Transplantation Techniques and Outcomes (8 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers). Phillipe Abreu is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Organ Transplantation Techniques and Outcomes (8 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers). Phillipe Abreu collaborates with scholars based in Brazil, United States and Canada. Phillipe Abreu's co-authors include Gonzalo Sapisochín, Tommy Ivanics, Andre Gorgen, Eléonora De Martin, Raphaella Ferreira, Antonio Marttos, Marco P. A. W. Claasen, Graziano Oldani, Lauren Erdman and Taizo Hibi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Transplantation and Annals of Surgical Oncology.

In The Last Decade

Phillipe Abreu

38 papers receiving 259 citations

Author Peers

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

Author						Papers	Cites
Phillipe Abreu	135	107	49	44	32	44	266
Adil Başkıran	154 1.1×	124 1.2×	68 1.4×	49 1.1×	36 1.1×	42	306
Fatih Özdemir	171 1.3×	94 0.9×	56 1.1×	29 0.7×	32 1.0×	34	285
Yong Kwon	165 1.2×	105 1.0×	38 0.8×	43 1.0×	46 1.4×	49	294
Margot Fodor	224 1.7×	125 1.2×	66 1.3×	22 0.5×	38 1.2×	30	295
Chaya Shwaartz	192 1.4×	119 1.1×	89 1.8×	76 1.7×	27 0.8×	37	305
Kâmil Yalçın Polat	208 1.5×	70 0.7×	41 0.8×	27 0.6×	21 0.7×	42	306
Tufan Egeli	221 1.6×	56 0.5×	55 1.1×	83 1.9×	21 0.7×	67	313
D. Sforza	123 0.9×	92 0.9×	93 1.9×	88 2.0×	19 0.6×	34	331
Simone Kathemann	152 1.1×	127 1.2×	62 1.3×	34 0.8×	6 0.2×	30	300
Kwangho Yang	163 1.2×	61 0.6×	49 1.0×	64 1.5×	20 0.6×	30	262

Countries citing papers authored by Phillipe Abreu

Since Specialization

Citations

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

Fields of papers citing papers by Phillipe Abreu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillipe Abreu

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