Maddalena T. Tilli
- Oncology top 10%
- Cancer-related Molecular Pathways 6
- Cancer Cells and Metastasis 5
- Cytokine Signaling Pathways and Interactions 4
- Genetics top 10%
- Estrogen and related hormone effects 4
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- Cancer, Hypoxia, and Metabolism 2
- Biophysics top 10%
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- Ubiquitin and proteasome pathways 2
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- Cancer Research and Treatments 3
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- Breast Lesions and Carcinomas 2
- Co-authors
- Priscilla A. FurthJodi A. FlawsM. Silvina FrechBaljit SinghEdward J. GuntherLewis A. ChodoshMichael D. JohnsonAngela R. Parrish
- Cited by
- OncologyGeneticsCancer Research
- Partner nations
- United StatesArgentina
In The Last Decade
Maddalena T. Tilli
17 papers receiving 595 citations
Peers
Comparison fields: 5 of 68
- Oncology 280
- Genetics 268
- Cancer Research 112
- Biophysics 32
- Molecular Biology 300
Countries citing papers authored by Maddalena T. Tilli
This map shows the geographic impact of Maddalena T. Tilli'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 Maddalena T. Tilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maddalena T. Tilli more than expected).
Fields of papers citing papers by Maddalena T. Tilli
This network shows the impact of papers produced by Maddalena T. Tilli. 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 Maddalena T. Tilli. The network helps show where Maddalena T. Tilli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maddalena T. Tilli, 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 | 2010 | 19 | |
| 2 | 2008 | 82 | |
| 3 | 2008 | 15 | |
| 4 | 2007 | 42 | |
| 5 | 2007 | 51 | |
| 6 | 2005 | 15 | |
| 7 | 2005 | 72 | |
| 8 | Deregulated estrogen receptor alpha expression in mammary epithelial cells of transgenic mice results in the development of ductal carcinoma in situ. | 2005 | 77 |
| 9 | 2004 | 75 | |
| 10 | 2004 | 40 | |
| 11 | 2003 | 8 | |
| 12 | 2003 | 46 | |
| 13 | 2003 | 10 | |
| 14 | Loss of protein phosphatase 2A expression correlates with phosphorylation of DP-1 and reversal of dysplasia through differentiation in a conditional mouse model of cancer progression. | 2003 | 9 |
| 15 | 2002 | 26 | |
| 16 | 1998 | 7 | |
| 17 | Testosterone excretion in cadmium chloride induced testicular tumours in rats. | 1968 | 2 |
About Maddalena T. Tilli
Maddalena T. Tilli is a scholar working on Oncology, Biotechnology and Genetics, having authored 17 papers that have together received 596 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Cancer Cells and Metastasis (5 papers), Estrogen and related hormone effects (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Cancer Research and Treatments (3 papers), Breast Lesions and Carcinomas (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Oncology (280 citations), Genetics (268 citations) and Cancer Research (112 citations). Maddalena T. Tilli has collaborated with scholars based in United States and Argentina. Frequent co-authors include Priscilla A. Furth, Jodi A. Flaws, M. Silvina Frech, Baljit Singh, Edward J. Gunther, Lewis A. Chodosh, Michael D. Johnson, Angela R. Parrish, Anna T. Riegel and Jianming Xu.
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.