Federico Piccioni

98 total papers · 1.3k total citations
55 papers, 598 citations indexed

About

Federico Piccioni is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Federico Piccioni has authored 55 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Surgery, 22 papers in Pulmonary and Respiratory Medicine and 18 papers in Anesthesiology and Pain Medicine. Recurrent topics in Federico Piccioni's work include Anesthesia and Pain Management (17 papers), Cardiac, Anesthesia and Surgical Outcomes (16 papers) and Airway Management and Intubation Techniques (11 papers). Federico Piccioni is often cited by papers focused on Anesthesia and Pain Management (17 papers), Cardiac, Anesthesia and Surgical Outcomes (16 papers) and Airway Management and Intubation Techniques (11 papers). Federico Piccioni collaborates with scholars based in Italy, United States and United Kingdom. Federico Piccioni's co-authors include Martin Langer, Riccardo Ragazzi, Luca Fumagalli, T. Wesley Templeton, Domenico Massullo, Paola Previtali, Franco Valenza, Bárbara Conti, Debnath Chatterjee and Edward Haeusler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nutrients and Anesthesia & Analgesia.

In The Last Decade

Federico Piccioni

49 papers receiving 578 citations

Author Peers

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

Author						Papers	Cites
Federico Piccioni	342	228	156	134	57	55	598
Yoshihisa Fujita	363 1.1×	128 0.6×	164 1.1×	131 1.0×	33 0.6×	61	589
Päivi Laurila	371 1.1×	144 0.6×	169 1.1×	89 0.7×	58 1.0×	27	603
Richard J. Pollard	185 0.5×	233 1.0×	106 0.7×	161 1.2×	95 1.7×	24	589
Jin‐Young Hwang	222 0.6×	226 1.0×	127 0.8×	82 0.6×	65 1.1×	66	588
Seokha Yoo	374 1.1×	172 0.8×	98 0.6×	176 1.3×	89 1.6×	69	681
Thomas J. Hopkins	404 1.2×	145 0.6×	63 0.4×	191 1.4×	69 1.2×	30	658
Jalil Makarem	208 0.6×	177 0.8×	98 0.6×	49 0.4×	50 0.9×	45	595
Radmilo Janković	430 1.3×	88 0.4×	151 1.0×	263 2.0×	32 0.6×	67	683
Rajeshwari Subramaniam	281 0.8×	222 1.0×	375 2.4×	45 0.3×	48 0.8×	56	625
Gen Li	332 1.0×	67 0.3×	155 1.0×	120 0.9×	81 1.4×	50	676

Countries citing papers authored by Federico Piccioni

Since Specialization

Citations

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

Fields of papers citing papers by Federico Piccioni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Piccioni

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