Patrizia Albertini

18 total papers · 902 total citations
17 papers, 713 citations indexed

About

Patrizia Albertini is a scholar working on Pathology and Forensic Medicine, Genetics and Neurology. According to data from OpenAlex, Patrizia Albertini has authored 17 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pathology and Forensic Medicine, 7 papers in Genetics and 7 papers in Neurology. Recurrent topics in Patrizia Albertini's work include Lymphoma Diagnosis and Treatment (15 papers), CNS Lymphoma Diagnosis and Treatment (6 papers) and Chronic Lymphocytic Leukemia Research (6 papers). Patrizia Albertini is often cited by papers focused on Lymphoma Diagnosis and Treatment (15 papers), CNS Lymphoma Diagnosis and Treatment (6 papers) and Chronic Lymphocytic Leukemia Research (6 papers). Patrizia Albertini collaborates with scholars based in Italy. Patrizia Albertini's co-authors include S Tura, Pier Luigi Zinzani, Filíppo Gherlinzoni, Massimo Magagnoli, Maurizio Bendandi, Stefano Pileri, Giulio Fraternali Orcioni, Vittorio Stefoni, Alfonso Zaccaria and Piero Galieni and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and Haemophilia.

In The Last Decade

Patrizia Albertini

17 papers receiving 696 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Patrizia Albertini 576 260 213 150 140 17 713
Talvalkar Gv 570 1.0× 269 1.0× 112 0.5× 186 1.2× 146 1.0× 26 734
Marlene Troch 641 1.1× 338 1.3× 149 0.7× 181 1.2× 151 1.1× 32 780
Sung Sik Shin 341 0.6× 210 0.8× 90 0.4× 128 0.9× 115 0.8× 22 646
Robert M. Bearman 420 0.7× 260 1.0× 153 0.7× 256 1.7× 114 0.8× 20 829
Aliyah Rahemtullah 404 0.7× 384 1.5× 139 0.7× 85 0.6× 69 0.5× 21 849
Woo‐Ick Yang 497 0.9× 474 1.8× 110 0.5× 128 0.9× 102 0.7× 35 861
Eve Gallop‐Evans 604 1.0× 370 1.4× 263 1.2× 253 1.7× 84 0.6× 27 880
M. Hoffmann 518 0.9× 214 0.8× 112 0.5× 136 0.9× 159 1.1× 20 674
Allison Crosby‐Thompson 670 1.2× 391 1.5× 239 1.1× 178 1.2× 152 1.1× 10 884
Paul N. Meyer 397 0.7× 282 1.1× 104 0.5× 202 1.3× 151 1.1× 19 662

Countries citing papers authored by Patrizia Albertini

Since Specialization
Citations

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

Fields of papers citing papers by Patrizia Albertini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrizia Albertini

This figure shows the co-authorship network connecting the top 25 collaborators of Patrizia Albertini. A scholar is included among the top collaborators of Patrizia Albertini 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 Patrizia Albertini. Patrizia Albertini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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