Silvano Raia

133 total papers · 1.8k total citations
48 papers, 686 citations indexed

About

Silvano Raia is a scholar working on Hepatology, Surgery and Parasitology. According to data from OpenAlex, Silvano Raia has authored 48 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hepatology, 20 papers in Surgery and 13 papers in Parasitology. Recurrent topics in Silvano Raia's work include Liver Disease and Transplantation (22 papers), Parasites and Host Interactions (13 papers) and Organ Transplantation Techniques and Outcomes (8 papers). Silvano Raia is often cited by papers focused on Liver Disease and Transplantation (22 papers), Parasites and Host Interactions (13 papers) and Organ Transplantation Techniques and Outcomes (8 papers). Silvano Raia collaborates with scholars based in Brazil, United States and United Kingdom. Silvano Raia's co-authors include Sérgio Mies, A. L. V. Macedo, Paulo Celso Bosco Massarollo, Edna Strauss, L.C.C. Gayotto, L Kreel, Peter I. Lelkes, Gerson Shigeru Kobayashi, Amanda F. Assoni and Camila Manso Musso and has published in prestigious journals such as Nature, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Silvano Raia

47 papers receiving 642 citations

Author Peers

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

Author						Papers	Cites
Silvano Raia	435	349	149	140	112	48	686
A Helmy	242 0.6×	120 0.3×	180 1.2×	145 1.0×	31 0.3×	30	611
Neven Papić	230 0.5×	153 0.4×	338 2.3×	18 0.1×	32 0.3×	47	765
Ann E. Woolley	155 0.4×	130 0.4×	109 0.7×	23 0.2×	41 0.4×	40	574
Matsuo Deguchi	289 0.7×	145 0.4×	344 2.3×	20 0.1×	24 0.2×	43	673
Kaan Karayalçın	151 0.3×	461 1.3×	75 0.5×	70 0.5×	7 0.1×	43	662
Takeo Yonekura	50 0.1×	355 1.0×	57 0.4×	45 0.3×	27 0.2×	55	618
Katarzyna Sikorska	101 0.2×	33 0.1×	149 1.0×	104 0.7×	28 0.3×	90	677
Ayman Yosry	463 1.1×	113 0.3×	495 3.3×	45 0.3×	5 0.0×	59	776
Vedat Göral	151 0.3×	223 0.6×	196 1.3×	24 0.2×	11 0.1×	41	674
E. Moreno-González	204 0.5×	334 1.0×	168 1.1×	46 0.3×	4 0.0×	42	568

Countries citing papers authored by Silvano Raia

Since Specialization

Citations

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

Fields of papers citing papers by Silvano Raia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvano Raia

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