Marina Macchini

2.5k citations
52 papers · 420 indexed · h-index 11

Impact in

  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Genomics and Diagnostics

Papers in

Marina Macchini

47 papers receiving 413 citations

Peers

Marina Macchini
Comparison fields: 5 of 53
  • Oncology 295
  • Cancer Research 117
  • Pulmonary and Respiratory Medicine 137
  • Surgery 130
  • Immunology 50
Replace Ashwin R. Sama with:
Ashwin R. Sama United States
Darren M. Kocs United States
Shinsuke Kanekiyo Japan
Yasser Ged United States
Tiago Biachi De Castria Brazil
Marta Chiaravalli Italy
Cinzia Baldessari Italy
Fabienne Portales France
Moon-June Cho South Korea
Ignazio Martellucci Italy
Marina Macchini relative to Ashwin R. Sama United States Ashwin R. Sama's profile →
Citations per field
00.5×1.5×1.8×
Ashwin R. Sama · 1×
Citations per year

Countries citing papers authored by Marina Macchini

Since Specialization
Citations

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

Fields of papers citing papers by Marina Macchini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 201854
3 201842
4 201842
5 202339
6 201518
7 201616
8 202115
9 202114
10 202213
11 201210
12 20229
13 20209
14 20128
15 20228
16 20107
17 20216
18 20234
19 20244
20 20243

About Marina Macchini

Marina Macchini is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Hepatology and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 420 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (34 papers), Cancer Genomics and Diagnostics (18 papers), Renal cell carcinoma treatment (11 papers), Neuroendocrine Tumor Research Advances (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Pancreatitis Pathology and Treatment (4 papers), Glycosylation and Glycoproteins Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Oncology (295 citations), Cancer Research (117 citations), Pulmonary and Respiratory Medicine (137 citations), Surgery (130 citations) and Immunology (50 citations). Marina Macchini has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Michele Reni, Umberto Peretti, Luca Gianni, Massimo Falconi, Silvia Zanon, Marta Chiaravalli, Elena Mazza, Giulia Orsi, Guido Biasco and Gianpaolo Balzano. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Digestive and Liver Disease, Cancer Treatment Reviews and Cancer Chemotherapy and Pharmacology.

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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