Stefania Pittaluga
Impact in
- Pathology and Forensic Medicine top 0.02%
- Lymphoma Diagnosis and Treatment
- Genetics top 0.05%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 244
- Genetics 119
- Chronic Lymphocytic Leukemia Research 111
- Co-authors
- Elaine S. JaffeMark RaffeldWyndham H. WilsonSeth M. SteinbergKieron DunleavyLouis M. StaudtGirish VenkataramanRichard F. Little
- Journals
- Blood (121 papers)The American Journal of Surgical Pathology (39 papers)Journal of Clinical Oncology (18 papers)Haematologica (14 papers)British Journal of Haematology (11 papers)
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
Stefania Pittaluga
388 papers receiving 19.5k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Pathology and Forensic Medicine 10.0k
- Genetics 4.6k
- Oncology 9.8k
- Immunology 4.6k
- Neurology 2.8k
Countries citing papers authored by Stefania Pittaluga
This map shows the geographic impact of Stefania Pittaluga'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 Stefania Pittaluga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefania Pittaluga more than expected).
Fields of papers citing papers by Stefania Pittaluga
This network shows the impact of papers produced by Stefania Pittaluga. 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 Stefania Pittaluga. The network helps show where Stefania Pittaluga may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefania Pittaluga, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2019 | 95 | |
| 9 | 2019 | 0 | |
| 10 | 2018 | 3 | |
| 11 | 2016 | 111 | |
| 12 | 2014 | 80 | |
| 13 | 2014 | 134 | |
| 14 | B-cell Maturation Antigen Is a Promising Target for Adoptive T-cell Therapy of Multiple Myeloma Hit paper breakdown → | 2013 | 492 |
| 15 | 2010 | 123 | |
| 16 | 2009 | 371 | |
| 17 | 2009 | 35 | |
| 18 | 2009 | 36 | |
| 19 | 2008 | 217 | |
| 20 | 2008 | 221 |
About Stefania Pittaluga
Stefania Pittaluga is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Immunology and Dermatology, having authored 399 papers that have together received 19.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (244 papers), Viral-associated cancers and disorders (125 papers), Chronic Lymphocytic Leukemia Research (111 papers), CNS Lymphoma Diagnosis and Treatment (51 papers), Immune Cell Function and Interaction (46 papers), CAR-T cell therapy research (34 papers), Cutaneous lymphoproliferative disorders research (34 papers) and Histiocytic Disorders and Treatments (25 papers). The work is most often cited by research in Pathology and Forensic Medicine (10.0k citations), Genetics (4.6k citations), Oncology (9.8k citations), Immunology (4.6k citations) and Neurology (2.8k citations). Stefania Pittaluga has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Elaine S. Jaffe, Mark Raffeld, Wyndham H. Wilson, Seth M. Steinberg, Kieron Dunleavy, Louis M. Staudt, Girish Venkataraman, Richard F. Little, Liqiang Xi and Robert Yarchoan. Their work appears in journals such as Blood, The American Journal of Surgical Pathology, Journal of Clinical Oncology, Haematologica 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.