Alba Di Leone

1.4k citations
84 papers · 806 indexed · h-index 16
Topics
Breast Cancer Treatment Studies (47 papers)Breast Implant and Reconstruction (31 papers)Breast Lesions and Carcinomas (24 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEBritish Journal of Cancer
Partner nations
ItalyJapanUnited States

In The Last Decade

Alba Di Leone

71 papers receiving 767 citations

Peers

Alba Di Leone
Comparison fields: 5 of 85
  • Cancer Research 409
  • Surgery 366
  • Oncology 247
  • Pathology and Forensic Medicine 181
  • Molecular Biology 128
Replace Joo Han Lim with:
Joo Han Lim South Korea
Hanoch Levavi Israel
Iordanis Navrozoglou Greece
Jean François Fléjou France
Amir Khan Pakistan
Benno Mann Germany
Joline S.J. Lim Singapore
Toshiyuki Sumi Japan
Judy Pang United States
Zhaozhi Yang China
Alba Di Leone relative to Joo Han Lim South Korea Joo Han Lim's profile →
Citations per field
00.5×3.9×
Joo Han Lim · 1×
Citations per year

Countries citing papers authored by Alba Di Leone

Since Specialization
Citations

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

Fields of papers citing papers by Alba Di Leone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alba Di Leone. 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 Alba Di Leone. The network helps show where Alba Di Leone may publish in the future.

Co-authorship network of co-authors of Alba Di Leone

This figure shows the co-authorship network connecting the top 25 collaborators of Alba Di Leone. A scholar is included among the top collaborators of Alba Di Leone 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 Alba Di Leone. Alba Di Leone 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
#WorkIndexed citations
1 2
2 0
3 1
4 2
5 0
6 1
7 0
8 1
9 2
10 0
11 4
12 1
13 2
14 21
15
Androgen receptor expression and outcome of neoadjuvant chemotherapy in triple-negative breast cancer
15
16 35
17 22
18 2
19
The Breast Unit Update on advantages and the open issues.
4
20
The role of oxidized regenerate cellulose to prevent cosmetic defects in oncoplastic breast surgery.
17

About Alba Di Leone

Alba Di Leone is a scholar working on Cancer Research, Pathology and Forensic Medicine and Dermatology, having authored 84 papers that have together received 806 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (47 papers), Breast Implant and Reconstruction (31 papers) and Breast Lesions and Carcinomas (24 papers). The work is most often cited by research in Cancer Research (409 citations), Pathology and Forensic Medicine (181 citations) and Oncology (247 citations). Alba Di Leone has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Riccardo Masetti, Gianluca Franceschini, Daniela Terribile, Stefano Magno, Alejandro Martín Sánchez, Cristiana Angelucci, Federica Chiesa, Lorenzo Scardina, Gabriella Proietti and Gigliola Sica. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and British Journal of Cancer.

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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