Marie Lia
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 2
- Immunology top 5%
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 4
- Estrogen and related hormone effects 2
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- Genetic factors in colorectal cancer 4
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 2
- PI3K/AKT/mTOR signaling in cancer 2
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- Colorectal Cancer Screening and Detection 2
- Colorectal Cancer Treatments and Studies 2
- Co-authors
- Riccardo Dalla‐FaveraTongwei MoQiong ShenUlf KleinJoerg HeyerGiorgio CattorettiStefano CasolaThomas Ludwig
- Cited by
- Cancer ResearchImmunologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nature Genetics (1 paper)Blood (4 papers)
- Partner nations
- United StatesItaly
In The Last Decade
Marie Lia
17 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Cancer Research 600
- Immunology 642
- Genetics 303
- Pathology and Forensic Medicine 508
- Molecular Biology 1.3k
Countries citing papers authored by Marie Lia
This map shows the geographic impact of Marie Lia'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 Marie Lia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Lia more than expected).
Fields of papers citing papers by Marie Lia
This network shows the impact of papers produced by Marie Lia. 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 Marie Lia. The network helps show where Marie Lia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marie Lia, 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 | 2011 | 52 | |
| 2 | 2011 | 1 | |
| 3 | The DLEU2/miR-15a/16-1 Cluster Controls B Cell Proliferation and Its Deletion Leads to Chronic Lymphocytic Leukemiabreakdown → | 2010 | 600 |
| 4 | 2008 | 2 | |
| 5 | 2007 | 29 | |
| 6 | Transcription factor IRF4 controls plasma cell differentiation and class-switch recombinationbreakdown → | 2006 | 570 |
| 7 | 2005 | 72 | |
| 8 | 2005 | 74 | |
| 9 | 2005 | 3 | |
| 10 | 2002 | 58 | |
| 11 | The DNA mismatch repair genes Msh3 and Msh6 cooperate in intestinal tumor suppression. | 2000 | 132 |
| 12 | 1999 | 312 | |
| 13 | 1999 | 132 | |
| 14 | Tumorigenesis in Mlh1 and Mlh1/Apc1638N mutant mice. | 1999 | 136 |
| 15 | 1995 | 4 | |
| 16 | 1992 | 10 | |
| 17 | 1992 | 2 |
About Marie Lia
Marie Lia is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 17 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Genetic factors in colorectal cancer (4 papers), Glycosylation and Glycoproteins Research (2 papers), Colorectal Cancer Screening and Detection (2 papers), Colorectal Cancer Treatments and Studies (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Estrogen and related hormone effects (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (600 citations), Immunology (642 citations) and Genetics (303 citations). Marie Lia has collaborated with scholars based in United States and Italy. Frequent co-authors include Riccardo Dalla‐Favera, Tongwei Mo, Qiong Shen, Ulf Klein, Joerg Heyer, Giorgio Cattoretti, Stefano Casola, Thomas Ludwig, Klaus Rajewsky and Govind Bhagat. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Blood.
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.