Fabio Pacelli

4.8k citations
160 papers · 3.5k · h-index 33

Impact in

Papers in

Fabio Pacelli

150 papers receiving 3.3k citations

Peers

Fabio Pacelli
Comparison fields: 5 of 96
  • Gastroenterology 305
  • Pulmonary and Respiratory Medicine 1.0k
  • Physiology 638
  • Surgery 923
  • Reproductive Medicine 170
Replace Tsann‐Long Hwang with:
Tsann‐Long Hwang Taiwan
K.‐W. Jauch Germany
Basil J. Ammori United Kingdom
Helen Heneghan Ireland
Theodore Liakakos Greece
Miin‐Fu Chen Taiwan
M. Pross Germany
Claire L. Donohoe Ireland
Ruth F. McKee United Kingdom
K. Nygaard Norway
Fabio Pacelli relative to Tsann‐Long Hwang Taiwan Tsann‐Long Hwang's profile →
Citations per field
00.5×10×15.5×
Tsann‐Long Hwang · 1×
Citations per year

Countries citing papers authored by Fabio Pacelli

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Pacelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fabio Pacelli, 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 Fabio Pacelli Line = papers co-authored together Fabio Pacelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996167
2 2003154
3 2001126
4 1993122
5 2010106
6 200895
7 201071
8 200366
9 199665
10 200965
11 200165
12 198864
13
Radical surgery for liver hydatid disease: a study of 89 consecutive patients.
199762
14 200961
15 201157
16 201656
17 200655
18 200152
19 201351
20 200550

About Fabio Pacelli

Fabio Pacelli is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Physiology, Molecular Biology and Oncology, having authored 160 papers that have together received 3.5k indexed citations. Recurring topics across this work include Intraperitoneal and Appendiceal Malignancies (30 papers), Gastric Cancer Management and Outcomes (28 papers), Nutrition and Health in Aging (20 papers), Gastrointestinal Tumor Research and Treatment (17 papers), Muscle Physiology and Disorders (12 papers), Colorectal Cancer Surgical Treatments (12 papers), Appendicitis Diagnosis and Management (10 papers) and Sarcoma Diagnosis and Treatment (10 papers). The work is most often cited by research in Gastroenterology (305 citations), Pulmonary and Respiratory Medicine (1.0k citations), Physiology (638 citations), Surgery (923 citations) and Reproductive Medicine (170 citations). Fabio Pacelli has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Maurizio Bossola, Giovanni Battista Doglietto, Fausto Rosa, F Crucitti, Rocco Bellantone, Antonio Pio Tortorelli, Giovan Battista Doglietto, G.B. Doglietto, Valerio Papa and Sergio Alfieri. Their work appears in journals such as Annals of Surgical Oncology, Cancers, World Journal of Surgery, Gastric Cancer and Annals of Surgery.

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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