Salvatore Perrone

989 total citations
60 papers, 598 citations indexed

About

Salvatore Perrone is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, Salvatore Perrone has authored 60 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Hematology, 15 papers in Genetics and 15 papers in Oncology. Recurrent topics in Salvatore Perrone's work include Acute Myeloid Leukemia Research (18 papers), Lymphoma Diagnosis and Treatment (10 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers). Salvatore Perrone is often cited by papers focused on Acute Myeloid Leukemia Research (18 papers), Lymphoma Diagnosis and Treatment (10 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers). Salvatore Perrone collaborates with scholars based in Italy, United States and United Kingdom. Salvatore Perrone's co-authors include A Albertazzi, Matteo Molica, Leonardo Lucchi, Alessandro Pulsoni, Laguens Rp, Roberto Favaloro, Gianni Cappelli, Robin Foà, Gianna Maria D’Elia and Aldo Tomasi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Journal of the American College of Cardiology.

In The Last Decade

Salvatore Perrone

56 papers receiving 586 citations

Peers

Salvatore Perrone
Comparison fields: 5 of 84
  • Molecular Biology 136
  • Hematology 132
  • Nephrology 122
  • Pathology and Forensic Medicine 99
  • Oncology 99
Replace Han Joo Baek with:
Han Joo Baek South Korea
Edward Calomeni United States
Alina Tănase Romania
Marilena Gregorini Italy
Klaus Stahl Germany
Eun Hye Park South Korea
Fong Lam United States
K Koota Finland
Yoko Adachi Japan
Gaafar Ragab Egypt
Han Joo Baek South Korea View profile →
Citations per field, relative to Salvatore Perrone
Salvatore Perrone · 1×
Citations per year, relative to Salvatore Perrone
Salvatore Perrone · 1×

Countries citing papers authored by Salvatore Perrone

Since Specialization
Citations

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

Fields of papers citing papers by Salvatore Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salvatore Perrone

This figure shows the co-authorship network connecting the top 25 collaborators of Salvatore Perrone. A scholar is included among the top collaborators of Salvatore Perrone 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 Salvatore Perrone. Salvatore Perrone 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 3
2 1
3 4
4 5
5 16
6 2
7 3
8 1
9 6
10 1
11 9
12 9
13 3
14 3
15 0
16 24
17 3
18 6
19 26
20 1

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