Katia Basso
Impact in
- Pathology and Forensic Medicine top 0.2%
- Lymphoma Diagnosis and Treatment
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Ubiquitin and proteasome pathways 12
- Cancer-related gene regulation 9
-
- Lymphoma Diagnosis and Treatment 30
- Co-authors
- Riccardo Dalla‐Favera (48 shared papers)Andrea Califano (19 shared papers)Adam A. Margolin (4 shared papers)Gustavo Stolovitzky (4 shared papers)Riccardo Dalla Favera (6 shared papers)Ilya Nemenman (2 shared papers)Ulf Klein (10 shared papers)Chris H. Wiggins (1 shared paper)
- Journals
- Blood (12 papers)Proceedings of the National Academy of Sciences (7 papers)Hematological Oncology (5 papers)Cancer Cell (3 papers)Immunity (3 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Katia Basso
66 papers receiving 9.2k citations
Katia Basso's Hit Papers
Peers
Comparison fields: 5 of 140
- Pathology and Forensic Medicine 1.9k
- Immunology 2.1k
- Genetics 1.0k
- Cancer Research 1.3k
- Molecular Biology 5.3k
Countries citing papers authored by Katia Basso
This map shows the geographic impact of Katia Basso'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 Katia Basso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katia Basso more than expected).
Fields of papers citing papers by Katia Basso
This network shows the impact of papers produced by Katia Basso. 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 Katia Basso. The network helps show where Katia Basso may publish in the future.
Co-authors
The 25 scholars most cited alongside Katia Basso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context Hit paper breakdown → | 2006 | 1723 |
| 2 | Reverse engineering of regulatory networks in human B cells Hit paper breakdown → | 2005 | 1033 |
| 3 | 2013 | 477 | |
| 4 | 2015 | 335 | |
| 5 | 2015 | 322 | |
| 6 | 2012 | 317 | |
| 7 | 2007 | 280 | |
| 8 | 2005 | 273 | |
| 9 | 2010 | 262 | |
| 10 | 2010 | 245 | |
| 11 | 2003 | 215 | |
| 12 | 2007 | 212 | |
| 13 | 2015 | 190 | |
| 14 | 2009 | 182 | |
| 15 | 2011 | 182 | |
| 16 | 2009 | 174 | |
| 17 | 2004 | 173 | |
| 18 | 2007 | 168 | |
| 19 | 2004 | 158 | |
| 20 | 2017 | 156 |
About Katia Basso
Katia Basso is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Immunology, Oncology and Genetics, having authored 72 papers that have together received 9.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (30 papers), Ubiquitin and proteasome pathways (12 papers), Immune Cell Function and Interaction (12 papers), Chronic Lymphocytic Leukemia Research (12 papers), CAR-T cell therapy research (11 papers), T-cell and B-cell Immunology (10 papers), Cancer-related gene regulation (9 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.9k citations), Immunology (2.1k citations), Genetics (1.0k citations), Cancer Research (1.3k citations) and Molecular Biology (5.3k citations). Katia Basso has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Riccardo Dalla‐Favera, Andrea Califano, Adam A. Margolin, Gustavo Stolovitzky, Riccardo Dalla Favera, Ilya Nemenman, Ulf Klein, Chris H. Wiggins, Laura Pasqualucci and Antony B. Holmes. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Hematological Oncology, Cancer Cell and Immunity.
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.