Mara Compagno
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Ubiquitin and proteasome pathways 4
- Genetics 11
- Chronic Lymphocytic Leukemia Research 9
- Co-authors
- Riccardo Dalla‐Favera (8 shared papers)Laura Pasqualucci (7 shared papers)Govind Bhagat (5 shared papers)Subhadra V. Nandula (5 shared papers)Adina Grunn (3 shared papers)Francesco Bertoni (4 shared papers)Andrea Califano (2 shared papers)Marta Scandurra (2 shared papers)
- Journals
- Blood (10 papers)Nature (2 papers)Cell (2 papers)Leukemia (2 papers)Experimental Hematology (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Mara Compagno
33 papers receiving 2.4k citations
Mara Compagno's Hit Papers
Peers
Comparison fields: 5 of 97
- Genetics 553
- Pathology and Forensic Medicine 847
- Immunology 859
- Cancer Research 542
- Oncology 698
Countries citing papers authored by Mara Compagno
This map shows the geographic impact of Mara Compagno'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 Mara Compagno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mara Compagno more than expected).
Fields of papers citing papers by Mara Compagno
This network shows the impact of papers produced by Mara Compagno. 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 Mara Compagno. The network helps show where Mara Compagno may publish in the future.
Co-authors
The 25 scholars most cited alongside Mara Compagno, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mutations of multiple genes cause deregulation of NF-κB in diffuse large B-cell lymphoma Hit paper breakdown → | 2009 | 795 |
| 2 | 2011 | 352 | |
| 3 | 2007 | 280 | |
| 4 | 2006 | 263 | |
| 5 | 2009 | 184 | |
| 6 | 2017 | 92 | |
| 7 | 2018 | 58 | |
| 8 | 2016 | 54 | |
| 9 | 2018 | 39 | |
| 10 | 2016 | 34 | |
| 11 | 2007 | 33 | |
| 12 | 2004 | 30 | |
| 13 | 2020 | 30 | |
| 14 | 2015 | 29 | |
| 15 | 2003 | 28 | |
| 16 | 2005 | 22 | |
| 17 | 2007 | 21 | |
| 18 | 2016 | 20 | |
| 19 | 2022 | 15 | |
| 20 | 2019 | 13 |
About Mara Compagno
Mara Compagno is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Immunology and Oncology, having authored 33 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Immunodeficiency and Autoimmune Disorders (4 papers), NF-κB Signaling Pathways (4 papers), Ubiquitin and proteasome pathways (4 papers), Viral-associated cancers and disorders (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Genetics (553 citations), Pathology and Forensic Medicine (847 citations), Immunology (859 citations), Cancer Research (542 citations) and Oncology (698 citations). Mara Compagno has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Riccardo Dalla‐Favera, Laura Pasqualucci, Govind Bhagat, Subhadra V. Nandula, Adina Grunn, Francesco Bertoni, Andrea Califano, Marta Scandurra, Amy Chadburn and Manisha Brahmachary. Their work appears in journals such as Blood, Nature, Cell, Leukemia and Experimental Hematology.
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.