Giulia Mazzaschi

1.6k citations
55 papers · 664 · h-index 12

Impact in

Papers in

Giulia Mazzaschi

50 papers receiving 658 citations

Peers

Giulia Mazzaschi
Comparison fields: 5 of 57
  • Oncology 370
  • Pulmonary and Respiratory Medicine 197
  • Immunology 131
  • Cancer Research 86
  • Otorhinolaryngology 9
Replace Jinpeng Shi with:
Jinpeng Shi China
Mitsunori Higuchi Japan
Ashley Kowalewski United States
Qingsong Pang China
Junxun Ma China
Petros Fessas United Kingdom
Mengdie Yuan United States
Zhuoran Yao China
J.M. Sánchez-Torres Spain
Rieke Fischer Germany
Giulia Mazzaschi relative to Jinpeng Shi China Jinpeng Shi's profile →
Citations per field
00.5×1.5×
Jinpeng Shi · 1×
Citations per year

Countries citing papers authored by Giulia Mazzaschi

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Mazzaschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019160
2 201889
3 202083
4 202135
5 201732
6 202028
7 201828
8 202018
9 201715
10 202414
11 202112
12 202311
13 202110
14 202110
15 20219
16 20238
17 20218
18 20216
19 20196
20 20205

About Giulia Mazzaschi

Giulia Mazzaschi is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cancer Research and Surgery, having authored 55 papers that have together received 664 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (19 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Lung Cancer Treatments and Mutations (10 papers), Renal cell carcinoma treatment (7 papers), Cancer Genomics and Diagnostics (4 papers), Cancer, Lipids, and Metabolism (4 papers), Colorectal and Anal Carcinomas (3 papers) and Bladder and Urothelial Cancer Treatments (3 papers). The work is most often cited by research in Oncology (370 citations), Pulmonary and Respiratory Medicine (197 citations), Immunology (131 citations), Cancer Research (86 citations) and Otorhinolaryngology (9 citations). Giulia Mazzaschi has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Marcello Tiseo, Federico Quaini, Alessandro Leonetti, Elisa Giovannetti, Yehuda G. Assaraf, Christian Rolfo, Birgit M. M. Wever, Sebastiano Buti, Roberta Minari and Paola Bordi. Their work appears in journals such as Annals of Oncology, Journal of Thoracic Oncology, Lung Cancer, Cancers and Anti-Cancer Drugs.

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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