Sara Pacella

40 total papers · 1.3k total citations
22 papers, 847 citations indexed

About

Sara Pacella is a scholar working on Hepatology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sara Pacella has authored 22 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hepatology, 6 papers in Surgery and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sara Pacella's work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Cardiac tumors and thrombi (3 papers). Sara Pacella is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Cardiac tumors and thrombi (3 papers). Sara Pacella collaborates with scholars based in Italy, United Kingdom and Spain. Sara Pacella's co-authors include Claudio Maurizio Pacella, Giancarlo Bizzarri, A. Bianchini, Rinaldo Guglielmi, Enrico Papini, Vincenzo Anelli, Anna Crescenzi, Dario Valle, Z. Rossi and Roberto Stasi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and Journal of Hepatology.

In The Last Decade

Sara Pacella

19 papers receiving 819 citations

Author Peers

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

Author Last Decade Papers Cites
Sara Pacella 444 402 288 204 112 22 847
Yasunori Kawaguchi 101 0.2× 116 0.3× 468 1.6× 519 2.5× 60 0.5× 34 801
Jason Iannuccilli 480 1.1× 374 0.9× 40 0.1× 52 0.3× 186 1.7× 13 747
Luisa Bercich 113 0.3× 183 0.5× 478 1.7× 786 3.9× 45 0.4× 26 1.0k
T Sagoh 283 0.6× 196 0.5× 121 0.4× 138 0.7× 148 1.3× 24 1.0k
Nikita Garnov 114 0.3× 95 0.2× 113 0.4× 252 1.2× 153 1.4× 34 848
Sandra Rea 182 0.4× 152 0.4× 126 0.4× 68 0.3× 213 1.9× 25 700
Tuan H. Pham 580 1.3× 93 0.2× 50 0.2× 70 0.3× 149 1.3× 26 1.0k
J W Reinig 442 1.0× 207 0.5× 76 0.3× 97 0.5× 151 1.3× 34 984
Robert F. Hanna 272 0.6× 33 0.1× 389 1.4× 423 2.1× 60 0.5× 26 882
Lori Watumull 180 0.4× 271 0.7× 76 0.3× 36 0.2× 627 5.6× 26 936

Countries citing papers authored by Sara Pacella

Since Specialization
Citations

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

Fields of papers citing papers by Sara Pacella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Pacella

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