Paolo Ghia
- Genetics top 0.02%
- Chronic Lymphocytic Leukemia Research 343
- Pathology and Forensic Medicine top 0.05%
- Lymphoma Diagnosis and Treatment 190
- Immunology top 0.2%
- Immunodeficiency and Autoimmune Disorders 97
- Immune Cell Function and Interaction 38
- Hematology top 0.2%
- Chronic Myeloid Leukemia Treatments 50
- Oncology top 1%
- CAR-T cell therapy research 27
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- Advanced Breast Cancer Therapies 39
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- Monoclonal and Polyclonal Antibodies Research 36
- Co-authors
- Federico Caligaris‐CappioCristina ScielzoLydia ScarfòΚώστας ΣταματόπουλοςPeter HillmenJan A. BurgerTadeusz RobakMassimo Geuna
- Journals
- New England Journal of Medicine (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Paolo Ghia
378 papers receiving 12.6k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Genetics 8.8k
- Pathology and Forensic Medicine 6.4k
- Immunology 6.0k
- Hematology 2.2k
- Oncology 2.5k
Countries citing papers authored by Paolo Ghia
This map shows the geographic impact of Paolo Ghia'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 Paolo Ghia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Ghia more than expected).
Fields of papers citing papers by Paolo Ghia
This network shows the impact of papers produced by Paolo Ghia. 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 Paolo Ghia. The network helps show where Paolo Ghia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paolo Ghia, 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 | 2025 | 2 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 6 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 47 | |
| 13 | 2020 | 20 | |
| 14 | 2020 | 33 | |
| 15 | ASCEND: Phase III, Randomized Trial of Acalabrutinib Versus Idelalisib Plus Rituximab or Bendamustine Plus Rituximab in Relapsed or Refractory Chronic Lymphocytic Leukemiabreakdown → | 2020 | 252 |
| 16 | 2017 | 63 | |
| 17 | Ex Vivo Lymph Node Native Microenvironment Assay Shows Novel Antiproliferative Activity For Idelalisib And Ibrutinib On Cll Cells | 2016 | 1 |
| 18 | 2015 | 33 | |
| 19 | 2012 | 37 | |
| 20 | 2005 | 28 |
About Paolo Ghia
Paolo Ghia is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology, having authored 399 papers that have together received 12.7k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (343 papers), Lymphoma Diagnosis and Treatment (190 papers), Immunodeficiency and Autoimmune Disorders (97 papers), Chronic Myeloid Leukemia Treatments (50 papers), Advanced Breast Cancer Therapies (39 papers), Immune Cell Function and Interaction (38 papers), Monoclonal and Polyclonal Antibodies Research (36 papers) and CAR-T cell therapy research (27 papers). The work is most often cited by research in Genetics (8.8k citations), Pathology and Forensic Medicine (6.4k citations) and Immunology (6.0k citations). Paolo Ghia has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Federico Caligaris‐Cappio, Cristina Scielzo, Lydia Scarfò, Κώστας Σταματόπουλος, Peter Hillmen, Jan A. Burger, Tadeusz Robak, Massimo Geuna, Michael Hallek and Marta Muzio. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.