Giulia Capelli

33 papers receiving 288 citations

Peers

Giulia Capelli
Comparison fields: 5 of 69
  • Gender Studies 58
  • Health Informatics 8
  • Oncology 122
  • Radiology, Nuclear Medicine and Imaging 67
  • Surgery 97
Replace Ji Yoon Moon with:
Ji Yoon Moon South Korea
Katherine Bingmer United States
Julie Katz Karp United States
Linda Ferrari United Kingdom
Jeremy Martin United States
Pauline Filippou United States
Charles C. Vining United States
Darryl Schuitevoerder United States
Madelene Lewis United States
Alexander P. Kenigsberg United States
Giulia Capelli relative to Ji Yoon Moon South Korea Ji Yoon Moon's profile →
Citations per field
00.5×3.3×
Ji Yoon Moon · 1×
Citations per year

Countries citing papers authored by Giulia Capelli

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Capelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202044
2 202233
3 202022
4 202019
5 199619
6 202219
7 202016
8 202313
9 202113
10 202213
11 202212
12 202110
13 20239
14 20227
15 20237
16 20225
17 20224
18 20224
19 20224
20 20213

About Giulia Capelli

Giulia Capelli is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Gender Studies and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 295 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (11 papers), Diversity and Career in Medicine (10 papers), Colorectal and Anal Carcinomas (7 papers), Colorectal Cancer Screening and Detection (7 papers), Gastric Cancer Management and Outcomes (7 papers), Medical Education and Admissions (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Dental Education, Practice, Research (3 papers). The work is most often cited by research in Gender Studies (58 citations), Health Informatics (8 citations), Oncology (122 citations), Radiology, Nuclear Medicine and Imaging (67 citations) and Surgery (97 citations). Giulia Capelli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Gaya Spolverato, Salvatore Pucciarelli, Quoc Riccardo Bao, Daunia Verdi, Linda Ferrari, Isabella Frigerio, Andrew A. Gumbs, Filippo Crimì, Angelo Restivo and Cristina Campi. Their work appears in journals such as Annals of Surgical Oncology, British journal of surgery, Surgery, Journal of Surgical Oncology 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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