Laura Pasqualucci

22.7k citations
111 papers · 10.0k indexed · 5 hit papers · h-index 49

Impact in

Papers in

Laura Pasqualucci

103 papers receiving 9.9k citations

Hit Papers

Genetics of Follicular Lymphoma Transformation 2014 · 376 citations
3762001202620092017250500750

Peers

Laura Pasqualucci
Comparison fields: 5 of 126
  • Pathology and Forensic Medicine 5.0k
  • Genetics 2.7k
  • Immunology 3.5k
  • Oncology 3.5k
  • Cancer Research 1.4k
Replace R. Eric Davis with:
R. Eric Davis United States
Bjoern Chapuy United States
Luc Xerri France
Masao Seto Japan
R. S. K. Chaganti United States
Wolfram Klapper Germany
Jan Delabie Norway
Jeffrey Sklar United States
Valter Gattei Italy
Federico Caligaris‐Cappio Italy
Laura Pasqualucci relative to R. Eric Davis United States R. Eric Davis's profile →
Citations per field
00.5×1.5×2.1×
R. Eric Davis · 1×
Citations per year

Countries citing papers authored by Laura Pasqualucci

Since Specialization
Citations

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

Fields of papers citing papers by Laura Pasqualucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Laura Pasqualucci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Laura Pasqualucci Line = papers co-authored together Laura Pasqualucci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20241
4 20238
5 202312
6 202153
7 202070
8 202037
9 201927
10 2018174
11 2017151
12 201320
13 2013122
14 201310
15 201142
16 2011321
17 2009103
18 2009184
19 2006263
20 200511

About Laura Pasqualucci

Laura Pasqualucci is a scholar working on Pathology and Forensic Medicine, Genetics, Immunology, Oncology and Cancer Research, having authored 111 papers that have together received 10.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (63 papers), Chronic Lymphocytic Leukemia Research (38 papers), Immune Cell Function and Interaction (24 papers), CAR-T cell therapy research (19 papers), Ubiquitin and proteasome pathways (18 papers), Viral-associated cancers and disorders (12 papers), T-cell and Retrovirus Studies (10 papers) and T-cell and B-cell Immunology (10 papers). The work is most often cited by research in Pathology and Forensic Medicine (5.0k citations), Genetics (2.7k citations), Immunology (3.5k citations), Oncology (3.5k citations) and Cancer Research (1.4k citations). Laura Pasqualucci has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Riccardo Dalla‐Favera, Govind Bhagat, Amy Chadburn, Katia Basso, R. S. K. Chaganti, Adina Grunn, Ralf Küppers, Raúl Rabadán, Antony B. Holmes and Qiong Shen. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Hematological Oncology, Cancer Cell and British Journal of Haematology.

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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