Mara Compagno
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
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- Ubiquitin and proteasome pathways 4
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- Lymphoma Diagnosis and Treatment 9
- Co-authors
- Laura Pasqualucci (7 shared papers)Riccardo Dalla‐Favera (8 shared papers)Govind Bhagat (5 shared papers)Subhadra V. Nandula (5 shared papers)Adina Grunn (3 shared papers)Francesco Bertoni (4 shared papers)Amy Chadburn (2 shared papers)Wei Keat Lim (2 shared papers)
- Journals
- Blood (10 papers)Experimental Hematology (2 papers)Cell (2 papers)Nature (2 papers)Leukemia (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 96
- Genetics 511
- Pathology and Forensic Medicine 793
- Immunology 812
- Cancer Research 505
- Oncology 654
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 | 800 |
| 2 | 2011 | 357 | |
| 3 | 2007 | 281 | |
| 4 | 2006 | 264 | |
| 5 | 2009 | 184 | |
| 6 | 2017 | 93 | |
| 7 | 2018 | 58 | |
| 8 | 2016 | 54 | |
| 9 | 2018 | 39 | |
| 10 | 2016 | 34 | |
| 11 | 2007 | 33 | |
| 12 | 2020 | 32 | |
| 13 | 2015 | 30 | |
| 14 | 2004 | 30 | |
| 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, Pathology and Forensic Medicine, Immunology, Genetics and Oncology, having authored 33 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Chronic Lymphocytic Leukemia Research (7 papers), Ubiquitin and proteasome pathways (4 papers), NF-κB Signaling Pathways (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and Dental Implant Techniques and Outcomes (2 papers). The work is most often cited by research in Genetics (511 citations), Pathology and Forensic Medicine (793 citations), Immunology (812 citations), Cancer Research (505 citations) and Oncology (654 citations). Mara Compagno has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Laura Pasqualucci, Riccardo Dalla‐Favera, Govind Bhagat, Subhadra V. Nandula, Adina Grunn, Francesco Bertoni, Amy Chadburn, Wei Keat Lim, Qiong Shen and Maurilio Ponzoni. Their work appears in journals such as Blood, Experimental Hematology, Cell, Nature and Leukemia.
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.