Beatrice Sacconi

49 total papers · 888 total citations
29 papers, 640 citations indexed

About

Beatrice Sacconi is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Beatrice Sacconi has authored 29 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 11 papers in Pulmonary and Respiratory Medicine and 6 papers in Epidemiology. Recurrent topics in Beatrice Sacconi's work include Cerebrovascular and Carotid Artery Diseases (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Acute Ischemic Stroke Management (3 papers). Beatrice Sacconi is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Acute Ischemic Stroke Management (3 papers). Beatrice Sacconi collaborates with scholars based in Italy, Hungary and United Kingdom. Beatrice Sacconi's co-authors include Bruno Bordoni, Fabiola Marelli, Bruno Morabito, Carlo Catalano, Mario Bezzi, Luca Saba, Michele Di Martino, Claudio Chiesa, Michele Anzidei and Lucia Pacifico and has published in prestigious journals such as SHILAP Revista de lepidopterología, World Journal of Gastroenterology and European Radiology.

In The Last Decade

Beatrice Sacconi

28 papers receiving 625 citations

Author Peers

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

Author						Papers	Cites
Beatrice Sacconi	204	199	126	115	98	29	640
Meir Lichtenstein	190 0.9×	210 1.1×	170 1.3×	141 1.2×	32 0.3×	35	714
Ramazan Albayrak	178 0.9×	279 1.4×	73 0.6×	93 0.8×	99 1.0×	58	708
Bendicht Wagner	167 0.8×	95 0.5×	73 0.6×	114 1.0×	121 1.2×	23	685
Jean-Jacques Moraine	276 1.4×	134 0.7×	56 0.4×	49 0.4×	95 1.0×	26	769
Yo Ushijima	131 0.6×	114 0.6×	276 2.2×	41 0.4×	101 1.0×	36	702
David I. Abramson	114 0.6×	292 1.5×	81 0.6×	51 0.4×	73 0.7×	40	733
MICHAEL G. VELCHIK	150 0.7×	343 1.7×	104 0.8×	82 0.7×	62 0.6×	54	712
Jonathan Cohen	199 1.0×	224 1.1×	59 0.5×	75 0.7×	119 1.2×	43	793
Laura Salvi	49 0.2×	112 0.6×	43 0.3×	125 1.1×	92 0.9×	24	733
T Inoue	125 0.6×	101 0.5×	264 2.1×	42 0.4×	18 0.2×	44	626

Countries citing papers authored by Beatrice Sacconi

Since Specialization

Citations

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

Fields of papers citing papers by Beatrice Sacconi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatrice Sacconi

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