Sara Pacella

1.3k citations
22 papers · 848 · h-index 13

Impact in

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 8
    • Liver Disease and Transplantation 3
    • Cholangiocarcinoma and Gallbladder Cancer Studies 2
    • Head and Neck Anomalies 2

Sara Pacella

19 papers receiving 820 citations

Peers

Sara Pacella
Comparison fields: 5 of 64
  • Hepatology 288
  • Endocrinology, Diabetes and Metabolism 402
  • Surgery 444
  • Epidemiology 204
  • Biophysics 31
Replace Mengsu Zeng with:
Mengsu Zeng China
Jeffrey T. Lenert United States
Nobushige Hayashi Japan
Thomas Winkens Germany
Philipp Seifert Germany
JT Chen Taiwan
P. Macke Consigny United States
Luigi Celentano Italy
Ken Herrmann Germany
Youngsun Kim South Korea
Sara Pacella relative to Mengsu Zeng China Mengsu Zeng's profile →
Citations per field
00.5×10×13.4×
Mengsu Zeng · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sara Pacella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sara Pacella Line = papers co-authored together Sara Pacella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000139
2 2004124
3 2007119
4 2001108
5 200183
6 200561
7 200540
8 200635
9 201235
10 200624
11 200420
12
Papillary carcinoma in small hypoechoic thyroid nodules: predictive value of echo color Doppler evaluation. Preliminary results.
199818
13 200712
14 201212
15 20236
16 20225
17 20194
18 20162
19 20201
20 20230

About Sara Pacella

Sara Pacella is a scholar working on Hepatology, Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 848 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Cardiac tumors and thrombi (3 papers), Liver Disease and Transplantation (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Head and Neck Anomalies (2 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Hepatology (288 citations), Endocrinology, Diabetes and Metabolism (402 citations), Surgery (444 citations), Epidemiology (204 citations) and Biophysics (31 citations). Sara Pacella has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent 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. Their work appears in journals such as Radiology, American Journal of Roentgenology, Journal of Nuclear Cardiology, Journal of Hepatology and Journal of Neurology.

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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