Rosa Pasquinelli
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Thyroid Cancer Diagnosis and Treatment
Papers in
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- Heat shock proteins research 2
- Genomics and Chromatin Dynamics 2
- Oncology 5
- Cancer-related Molecular Pathways 3
- Co-authors
- Gennaro Chiappetta (13 shared papers)Alfredo Fusco (9 shared papers)Mario Monaco (6 shared papers)Claudio Arra (5 shared papers)Giuseppe D’Aiuto (5 shared papers)Giovanna Maria Pierantoni (4 shared papers)Gerardo Botti (3 shared papers)Emilia Vuttariello (3 shared papers)
- Journals
- Oncotarget (3 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Endocrine Related Cancer (2 papers)International Journal of Cancer (2 papers)Oncogene (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Rosa Pasquinelli
18 papers receiving 485 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 96
- Endocrinology, Diabetes and Metabolism 87
- Oncology 120
- Molecular Biology 303
- Cell Biology 42
Countries citing papers authored by Rosa Pasquinelli
This map shows the geographic impact of Rosa Pasquinelli'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 Rosa Pasquinelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Pasquinelli more than expected).
Fields of papers citing papers by Rosa Pasquinelli
This network shows the impact of papers produced by Rosa Pasquinelli. 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 Rosa Pasquinelli. The network helps show where Rosa Pasquinelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Rosa Pasquinelli, 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 | 2006 | 88 | |
| 2 | 2006 | 58 | |
| 3 | 2004 | 56 | |
| 4 | 2015 | 47 | |
| 5 | 2007 | 44 | |
| 6 | 2014 | 32 | |
| 7 | 2007 | 31 | |
| 8 | 2011 | 28 | |
| 9 | 2009 | 18 | |
| 10 | 2002 | 17 | |
| 11 | 2015 | 17 | |
| 12 | 2013 | 16 | |
| 13 | 2009 | 14 | |
| 14 | 2004 | 13 | |
| 15 | 1999 | 8 | |
| 16 | 2000 | 2 | |
| 17 | 1993 | 1 | |
| 18 | 1985 | 1 |
About Rosa Pasquinelli
Rosa Pasquinelli is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Immunology, having authored 18 papers that have together received 491 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Cancer-related Molecular Pathways (3 papers), Genetic factors in colorectal cancer (3 papers), Heat shock proteins research (2 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Cancer Research (96 citations), Endocrinology, Diabetes and Metabolism (87 citations), Oncology (120 citations), Molecular Biology (303 citations) and Cell Biology (42 citations). Rosa Pasquinelli has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Gennaro Chiappetta, Alfredo Fusco, Mario Monaco, Claudio Arra, Giuseppe D’Aiuto, Giovanna Maria Pierantoni, Gerardo Botti, Emilia Vuttariello, Monica Fedele and Daniela Califano. Their work appears in journals such as Oncotarget, The Journal of Clinical Endocrinology & Metabolism, Endocrine Related Cancer, International Journal of Cancer and Oncogene.
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.