Caterina Gianni

508 total citations
38 papers, 288 citations indexed

About

Caterina Gianni is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Caterina Gianni has authored 38 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 19 papers in Pulmonary and Respiratory Medicine and 15 papers in Cancer Research. Recurrent topics in Caterina Gianni's work include Cancer Genomics and Diagnostics (12 papers), Advanced Breast Cancer Therapies (8 papers) and Cancer Cells and Metastasis (7 papers). Caterina Gianni is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Advanced Breast Cancer Therapies (8 papers) and Cancer Cells and Metastasis (7 papers). Caterina Gianni collaborates with scholars based in Italy, United States and United Kingdom. Caterina Gianni's co-authors include Ugo De Giorgi, Chiara Casadei, Filippo Merloni, Marianna Sirico, Giuseppe Schepisi, Alberto D’Angelo, Michela Palleschi, Cristian Lolli, Samanta Sarti and Lorenzo Cecconetto and has published in prestigious journals such as Journal of Clinical Oncology, The EMBO Journal and Cancer Research.

In The Last Decade

Caterina Gianni

35 papers receiving 285 citations

Peers

Caterina Gianni
Comparison fields: 5 of 62
  • Oncology 139
  • Molecular Biology 118
  • Cancer Research 72
  • Pulmonary and Respiratory Medicine 71
  • Immunology 49
Replace Netanya Pollock with:
Netanya Pollock United States
Malek Kreidieh Lebanon
María San Román Spain
Shengyu Wu China
Melinda E. Stack United States
Albin Rudisch Austria
Woody Han United States
Ah-Rong Nam South Korea
Javier Pozas Spain
Xinjian Huang China
Netanya Pollock United States View profile →
Citations per field, relative to Caterina Gianni
Caterina Gianni · 1×
Citations per year, relative to Caterina Gianni
Caterina Gianni · 1×

Countries citing papers authored by Caterina Gianni

Since Specialization
Citations

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

Fields of papers citing papers by Caterina Gianni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caterina Gianni

This figure shows the co-authorship network connecting the top 25 collaborators of Caterina Gianni. A scholar is included among the top collaborators of Caterina Gianni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Caterina Gianni. Caterina Gianni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 2
5 1
6 2
7 0
8 6
9 1
10 11
11 31
12 63
13 6
14 3
15 14
16 23
17 7
18 10
19 2
20 12

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026