Samuel Greggio

73 total papers · 957 total citations
44 papers, 762 citations indexed

About

Samuel Greggio is a scholar working on Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Samuel Greggio has authored 44 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pediatrics, Perinatology and Child Health, 11 papers in Cellular and Molecular Neuroscience and 11 papers in Physiology. Recurrent topics in Samuel Greggio's work include Neonatal and fetal brain pathology (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Neonatal Respiratory Health Research (6 papers). Samuel Greggio is often cited by papers focused on Neonatal and fetal brain pathology (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Neonatal Respiratory Health Research (6 papers). Samuel Greggio collaborates with scholars based in Brazil, Canada and Portugal. Samuel Greggio's co-authors include Jaderson Costa DaCosta, Gianina Teribele Venturin, Jaderson Costa da Costa, João Antônio Pêgas Henriques, Iuri Marques de Oliveira, Denise Cantarelli Machado, Léder Leal Xavier, Renato Moreira Rosa, Gabriele Zanirati and Eduardo R. Zimmer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Pain.

In The Last Decade

Samuel Greggio

41 papers receiving 757 citations

Author Peers

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

Author						Papers	Cites
Samuel Greggio	210	196	141	122	120	44	762
Jaderson Costa DaCosta	191 0.9×	176 0.9×	127 0.9×	147 1.2×	116 1.0×	35	684
Joanna Sypecka	159 0.8×	366 1.9×	64 0.5×	316 2.6×	160 1.3×	50	848
Yiran Xu	122 0.6×	302 1.5×	96 0.7×	82 0.7×	33 0.3×	65	700
Baoying Zheng	160 0.8×	163 0.8×	76 0.5×	191 1.6×	128 1.1×	33	791
Feng Lv	119 0.6×	220 1.1×	69 0.5×	37 0.3×	77 0.6×	55	726
Martin Hadamitzky	98 0.5×	247 1.3×	91 0.6×	26 0.2×	232 1.9×	48	848
Mario Valentino	94 0.4×	279 1.4×	41 0.3×	100 0.8×	220 1.8×	41	784
Miren Revuelta	143 0.7×	177 0.9×	56 0.4×	130 1.1×	49 0.4×	25	669
Shiyong Liu	97 0.5×	342 1.7×	30 0.2×	85 0.7×	304 2.5×	60	874
Imam Hassouna	59 0.3×	188 1.0×	30 0.2×	65 0.5×	119 1.0×	24	624

Countries citing papers authored by Samuel Greggio

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Greggio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Greggio

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