Vasiliki Soubasi

55 total papers · 494 total citations
28 papers, 356 citations indexed

About

Vasiliki Soubasi is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Vasiliki Soubasi has authored 28 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pediatrics, Perinatology and Child Health, 15 papers in Pulmonary and Respiratory Medicine and 6 papers in Surgery. Recurrent topics in Vasiliki Soubasi's work include Neonatal Respiratory Health Research (15 papers), Neonatal and fetal brain pathology (10 papers) and Neonatal Health and Biochemistry (5 papers). Vasiliki Soubasi is often cited by papers focused on Neonatal Respiratory Health Research (15 papers), Neonatal and fetal brain pathology (10 papers) and Neonatal Health and Biochemistry (5 papers). Vasiliki Soubasi collaborates with scholars based in Greece, United States and Italy. Vasiliki Soubasi's co-authors include Kosmas Sarafidis, Elisavet Diamanti, Vasiliki Drossou, Eleni Agakidou, Άννα Ταπάρκου, Fotiοs Papachristou, V Drossou-Agakidou, Dimitrios Zafeiriou, Giuseppe Buonocore and Paraskevi Karagianni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Archives of Disease in Childhood and Pediatric Research.

In The Last Decade

Vasiliki Soubasi

28 papers receiving 344 citations

Author Peers

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

Author						Papers	Cites
Vasiliki Soubasi	160	153	104	61	46	28	356
Chryso Katsoufis	87 0.5×	136 0.9×	140 1.3×	20 0.3×	25 0.5×	24	327
Cahit Şahin	243 1.5×	174 1.1×	27 0.3×	27 0.4×	96 2.1×	39	379
Rüksan Anarat	50 0.3×	87 0.6×	90 0.9×	82 1.3×	11 0.2×	20	369
Gregor Novljan	60 0.4×	172 1.1×	101 1.0×	64 1.0×	20 0.4×	30	309
Tomonosuke Someya	83 0.5×	54 0.4×	155 1.5×	36 0.6×	13 0.3×	30	309
M Egeblad	145 0.9×	43 0.3×	51 0.5×	71 1.2×	9 0.2×	29	307
Dawid Szpecht	212 1.3×	228 1.5×	9 0.1×	43 0.7×	24 0.5×	38	381
S. Mastrosimone	119 0.7×	72 0.5×	112 1.1×	70 1.1×	25 0.5×	22	353
Tufan Çiçek	280 1.8×	258 1.7×	69 0.7×	83 1.4×	55 1.2×	30	391
Huiqing Sun	268 1.7×	218 1.4×	11 0.1×	72 1.2×	15 0.3×	28	403

Countries citing papers authored by Vasiliki Soubasi

Since Specialization

Citations

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

Fields of papers citing papers by Vasiliki Soubasi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasiliki Soubasi

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