Laura Pasqualucci
Impact in
- Pathology and Forensic Medicine top 0.05%
- Lymphoma Diagnosis and Treatment
- Genetics top 0.1%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 63
- Genetics 39
- Chronic Lymphocytic Leukemia Research 38
- Co-authors
- Riccardo Dalla‐FaveraGovind BhagatAmy ChadburnKatia BassoR. S. K. ChagantiAdina GrunnRalf KüppersRaúl Rabadán
- Journals
- Blood (24 papers)Proceedings of the National Academy of Sciences (8 papers)Hematological Oncology (8 papers)Cancer Cell (7 papers)British Journal of Haematology (4 papers)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Laura Pasqualucci
103 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Pathology and Forensic Medicine 5.0k
- Genetics 2.7k
- Immunology 3.5k
- Oncology 3.5k
- Cancer Research 1.4k
Countries citing papers authored by Laura Pasqualucci
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 12 | |
| 6 | 2021 | 53 | |
| 7 | 2020 | 70 | |
| 8 | 2020 | 37 | |
| 9 | 2019 | 27 | |
| 10 | 2018 | 174 | |
| 11 | 2017 | 151 | |
| 12 | 2013 | 20 | |
| 13 | 2013 | 122 | |
| 14 | 2013 | 10 | |
| 15 | 2011 | 42 | |
| 16 | 2011 | 321 | |
| 17 | 2009 | 103 | |
| 18 | 2009 | 184 | |
| 19 | 2006 | 263 | |
| 20 | 2005 | 11 |
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.