Serena Salzano

647 total citations
27 papers, 502 citations indexed

About

Serena Salzano is a scholar working on Surgery, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Serena Salzano has authored 27 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Serena Salzano's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Cell Adhesion Molecules Research (3 papers). Serena Salzano is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Cell Adhesion Molecules Research (3 papers). Serena Salzano collaborates with scholars based in Italy, Greece and United Kingdom. Serena Salzano's co-authors include Antonietta Santoro, Rocchina Barbieri, Matilde Valeria Ursini, Maria Brigida Lioi, Giacomo Rossi, Loredana Postiglione, Ludovico Sbordone, Luca Ramaglia, Stefania Montagnani and Mario Vitale and has published in prestigious journals such as Gastroenterology, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.

In The Last Decade

Serena Salzano

23 papers receiving 491 citations

Peers

Serena Salzano
Comparison fields: 5 of 99
  • Molecular Biology 128
  • Plant Science 112
  • Biomedical Engineering 98
  • Cancer Research 83
  • Surgery 71
Replace Wenli Qiu with:
Wenli Qiu China
Kazuo Sanada Japan
Zheng‐Dong Yuan China
Satoshi Watanabe Japan
Linhai He China
Yan Dong China
Jared A. Mereness United States
Elżbieta Karnas Poland
Dominique Jégou France
Min Kyung Lee South Korea
Wenli Qiu China View profile →
Citations per field, relative to Serena Salzano
Serena Salzano · 1×
Citations per year, relative to Serena Salzano
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Countries citing papers authored by Serena Salzano

Since Specialization
Citations

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

Fields of papers citing papers by Serena Salzano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Salzano

This figure shows the co-authorship network connecting the top 25 collaborators of Serena Salzano. A scholar is included among the top collaborators of Serena Salzano 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 Serena Salzano. Serena Salzano 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 1
2 1
3 2
4 0
5 1
6 1
7 0
8 4
9 0
10 1
11 20
12 17
13 127
14 35
15 10
16 13
17
17 beta-Estradiol overcomes a G1 block induced by HMG-CoA reductase inhibitors and fosters cell cycle progression without inducing ERK-1 and -2 MAP kinases activation.
50
18 29
19 20
20 24

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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