Massimo Cancemi
Impact in
- Genetics top 10%
- Estrogen and related hormone effects
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- Cancer-related Molecular Pathways
- Cytokine Signaling Pathways and Interactions
Papers in
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- Retinoids in leukemia and cellular processes 3
- Genomics and Chromatin Dynamics 2
- Ubiquitin and proteasome pathways 1
- Genetics 7
- Estrogen and related hormone effects 7
- Co-authors
- Lucia Altucci (9 shared papers)Luigi Cicatiello (8 shared papers)Francesco Bresciani (8 shared papers)Alessandro Weisz (8 shared papers)Raffaele Addeo (4 shared papers)Valeria Belsito Petrizzi (4 shared papers)Claudio Scafoglio (2 shared papers)Simona Caporali (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Breast Cancer Research and Treatment (1 paper)Molecular Biology of the Cell (1 paper)Endocrinology (1 paper)Stem Cells and Development (1 paper)
- Partner nations
- ItalyNetherlandsUnited States
In The Last Decade
Massimo Cancemi
9 papers receiving 406 citations
Peers
Comparison fields: 5 of 59
- Genetics 177
- Oncology 145
- Cancer Research 70
- Toxicology 11
- Molecular Biology 221
Countries citing papers authored by Massimo Cancemi
This map shows the geographic impact of Massimo Cancemi'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 Massimo Cancemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Cancemi more than expected).
Fields of papers citing papers by Massimo Cancemi
This network shows the impact of papers produced by Massimo Cancemi. 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 Massimo Cancemi. The network helps show where Massimo Cancemi may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Cancemi, 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 | 2004 | 138 | |
| 2 | 2004 | 75 | |
| 3 | 1997 | 72 | |
| 4 | Estrogens do not modify MAP kinase-dependent nuclear signaling during stimulation of early G(1) progression in human breast cancer cells. | 2001 | 33 |
| 5 | Constitutive overexpression of cyclin D1 does not prevent inhibition of hormone-responsive human breast cancer cell growth by antiestrogens. | 1998 | 31 |
| 6 | 1996 | 29 | |
| 7 | 2013 | 17 | |
| 8 | 2003 | 15 | |
| 9 | 2001 | 3 |
About Massimo Cancemi
Massimo Cancemi is a scholar working on Molecular Biology, Genetics, Oncology, Surgery and Cancer Research, having authored 9 papers that have together received 413 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Cancer-related Molecular Pathways (5 papers), Retinoids in leukemia and cellular processes (3 papers), Genomics and Chromatin Dynamics (2 papers), Cancer, Lipids, and Metabolism (2 papers), Pituitary Gland Disorders and Treatments (1 paper), Ubiquitin and proteasome pathways (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Genetics (177 citations), Oncology (145 citations), Cancer Research (70 citations), Toxicology (11 citations) and Molecular Biology (221 citations). Massimo Cancemi has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Lucia Altucci, Luigi Cicatiello, Francesco Bresciani, Alessandro Weisz, Raffaele Addeo, Valeria Belsito Petrizzi, Claudio Scafoglio, Simona Caporali, Silvana Caristi and Carmen Pacilio. Their work appears in journals such as Biochemical and Biophysical Research Communications, Breast Cancer Research and Treatment, Molecular Biology of the Cell, Endocrinology and Stem Cells and Development.
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.