Lorenza Pasqualini

28 total papers · 448 total citations
13 papers, 364 citations indexed

About

Lorenza Pasqualini is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Lorenza Pasqualini has authored 13 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Cancer Research. Recurrent topics in Lorenza Pasqualini's work include Cancer Genomics and Diagnostics (4 papers), Prostate Cancer Treatment and Research (3 papers) and Angiogenesis and VEGF in Cancer (2 papers). Lorenza Pasqualini is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Prostate Cancer Treatment and Research (3 papers) and Angiogenesis and VEGF in Cancer (2 papers). Lorenza Pasqualini collaborates with scholars based in Italy, United States and Austria. Lorenza Pasqualini's co-authors include Stefano Indraccolo, Huajie Bu, Christian Fuchsberger, Michal R. Schweiger, Helmut Klocker, Elisabetta Zulato, Georg Schäfer, Matteo Fassan, Johannes Rainer and Narisu Narisu and has published in prestigious journals such as Clinical Cancer Research, British Journal of Cancer and Annals of Oncology.

In The Last Decade

Lorenza Pasqualini

13 papers receiving 364 citations

Author Peers

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

Author Last Decade Papers Cites
Lorenza Pasqualini 175 136 89 75 63 13 364
Federica Verginelli 237 1.4× 93 0.7× 69 0.8× 85 1.1× 44 0.7× 14 345
Omanma Adighibe 227 1.3× 120 0.9× 61 0.7× 104 1.4× 35 0.6× 10 353
K. Fukino 206 1.2× 79 0.6× 54 0.6× 72 1.0× 37 0.6× 13 387
Kirsi J. Granberg 254 1.5× 109 0.8× 74 0.8× 67 0.9× 121 1.9× 18 380
Camille Derderian 213 1.2× 118 0.9× 141 1.6× 116 1.5× 64 1.0× 8 398
Dongtao Fu 232 1.3× 158 1.2× 42 0.5× 96 1.3× 42 0.7× 16 403
Zongmei Ding 255 1.5× 99 0.7× 39 0.4× 73 1.0× 30 0.5× 16 370
Fangling Cheng 152 0.9× 96 0.7× 43 0.5× 68 0.9× 84 1.3× 18 333
Craig Harlos 195 1.1× 115 0.8× 81 0.9× 97 1.3× 99 1.6× 14 377
Deborah Biasoli 183 1.0× 77 0.6× 41 0.5× 70 0.9× 83 1.3× 14 334

Countries citing papers authored by Lorenza Pasqualini

Since Specialization
Citations

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

Fields of papers citing papers by Lorenza Pasqualini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenza Pasqualini

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenza Pasqualini. A scholar is included among the top collaborators of Lorenza Pasqualini 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 Lorenza Pasqualini. Lorenza Pasqualini 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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