Rosalia Ragusa

87 total papers · 1.4k total citations
54 papers, 745 citations indexed

About

Rosalia Ragusa is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Rosalia Ragusa has authored 54 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Public Health, Environmental and Occupational Health, 13 papers in Epidemiology and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Rosalia Ragusa's work include Acute Lymphoblastic Leukemia research (9 papers), Hepatitis C virus research (7 papers) and Childhood Cancer Survivors' Quality of Life (6 papers). Rosalia Ragusa is often cited by papers focused on Acute Lymphoblastic Leukemia research (9 papers), Hepatitis C virus research (7 papers) and Childhood Cancer Survivors' Quality of Life (6 papers). Rosalia Ragusa collaborates with scholars based in Italy, France and Spain. Rosalia Ragusa's co-authors include Marina Marranzano, Valentina Lucia La Rosa, Andrea Di Cataldo, Elena Commodari, Claudia Di Filippo, Luigi Della Corte, Olimpia Gabrielli, Michele Fichera, Sabrina Reppuccia and Giuseppe Bifulco and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and American Journal of Epidemiology.

In The Last Decade

Rosalia Ragusa

49 papers receiving 720 citations

Author Peers

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

Author						Papers	Cites
Rosalia Ragusa	197	182	140	138	84	54	745
Xiao Gong	134 0.7×	130 0.7×	261 1.9×	111 0.8×	203 2.4×	41	886
Kenan Köse	111 0.6×	104 0.6×	124 0.9×	45 0.3×	22 0.3×	44	683
Samir Hidar	281 1.4×	158 0.9×	52 0.4×	163 1.2×	35 0.4×	59	815
Biyun Xu	68 0.3×	101 0.6×	243 1.7×	238 1.7×	154 1.8×	57	838
Sumona Saha	100 0.5×	349 1.9×	166 1.2×	62 0.4×	132 1.6×	67	894
Abdul Jamil Choudhry	212 1.1×	178 1.0×	65 0.5×	195 1.4×	105 1.3×	35	795
H. Mete Tanir	199 1.0×	227 1.2×	124 0.9×	225 1.6×	15 0.2×	50	633
Snezana Djurisic	145 0.7×	256 1.4×	191 1.4×	122 0.9×	31 0.4×	25	804
Anna But	170 0.9×	126 0.7×	64 0.5×	163 1.2×	15 0.2×	54	763
Sudha Prasad	187 0.9×	188 1.0×	70 0.5×	214 1.6×	45 0.5×	56	807

Countries citing papers authored by Rosalia Ragusa

Since Specialization

Citations

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

Fields of papers citing papers by Rosalia Ragusa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosalia Ragusa

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