Giulia Capelli
Impact in
- Health Informatics top 10%
- Gender Studies top 10%
- Diversity and Career in Medicine
Papers in
- Oncology 11
- Colorectal Cancer Surgical Treatments 8
- COVID-19 and healthcare impacts 3
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- Diversity and Career in Medicine 10
- Co-authors
- Gaya Spolverato (33 shared papers)Salvatore Pucciarelli (16 shared papers)Quoc Riccardo Bao (11 shared papers)Daunia Verdi (5 shared papers)Isabella Frigerio (7 shared papers)Linda Ferrari (5 shared papers)Andrew A. Gumbs (3 shared papers)Laura Albertoni (3 shared papers)
- Journals
- Annals of Surgical Oncology (5 papers)British journal of surgery (3 papers)Journal of Surgical Oncology (2 papers)Surgery (2 papers)Annals of Surgery (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Giulia Capelli
33 papers receiving 315 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 13
- Gender Studies 60
- Oncology 90
- Radiology, Nuclear Medicine and Imaging 39
- Parasitology 10
Countries citing papers authored by Giulia Capelli
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
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.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 45 | |
| 2 | 2022 | 38 | |
| 3 | 2020 | 23 | |
| 4 | 2022 | 23 | |
| 5 | 1996 | 22 | |
| 6 | 2023 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 16 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2023 | 10 | |
| 14 | 2022 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2021 | 3 |
About Giulia Capelli
Giulia Capelli is a scholar working on Oncology, Gender Studies, Surgery, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 322 indexed citations. Recurring topics across this work include Diversity and Career in Medicine (10 papers), Colorectal Cancer Surgical Treatments (8 papers), Gastric Cancer Management and Outcomes (7 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 and healthcare impacts (3 papers), Healthcare Systems and Challenges (2 papers), Colorectal and Anal Carcinomas (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Health Informatics (13 citations), Gender Studies (60 citations), Oncology (90 citations), Radiology, Nuclear Medicine and Imaging (39 citations) and Parasitology (10 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, Isabella Frigerio, Linda Ferrari, Andrew A. Gumbs, Laura Albertoni, Filippo Crimì and G Tacconi. Their work appears in journals such as Annals of Surgical Oncology, British journal of surgery, Journal of Surgical Oncology, Surgery 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.