Claudia Lanari
- Oncology top 2%
- Cancer Cells and Metastasis 25
- Cytokine Signaling Pathways and Interactions 17
- HER2/EGFR in Cancer Research 12
- Genetics top 2%
- Estrogen and related hormone effects 58
- Cancer Research top 5%
- Breast Cancer Treatment Studies 7
- Toxicology top 2%
- Bioactive Compounds and Antitumor Agents 7
- Obstetrics and Gynecology top 5%
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- Fibroblast Growth Factor Research 15
- PI3K/AKT/mTOR signaling in cancer 7
- Co-authors
- Alfredo MolinoloCaroline A. LambSebastián GiulianelliChristiane Dosne PasqualiniVictoria FabrisSilvia I. VanzulliVictoria WargonLuísa A. Helguero
- Cited by
- OncologyGeneticsCancer Research
- Journals
- The Journal of Immunology (1 paper)PLoS ONE (2 papers)JNCI Journal of the National Cancer Institute (2 papers)
- Partner nations
- ArgentinaUnited StatesPortugal
In The Last Decade
Claudia Lanari
97 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 108
- Oncology 1.1k
- Genetics 1.0k
- Cancer Research 436
- Toxicology 99
- Obstetrics and Gynecology 187
Countries citing papers authored by Claudia Lanari
This map shows the geographic impact of Claudia Lanari'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 Claudia Lanari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Lanari more than expected).
Fields of papers citing papers by Claudia Lanari
This network shows the impact of papers produced by Claudia Lanari. 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 Claudia Lanari. The network helps show where Claudia Lanari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claudia Lanari, 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 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | Progesterone receptors in normal breast development and breast cancer | 2021 | 8 |
| 4 | 2021 | 2 | |
| 5 | 2020 | 25 | |
| 6 | 2017 | 15 | |
| 7 | 2012 | 79 | |
| 8 | 2012 | 68 | |
| 9 | 2012 | 16 | |
| 10 | 2011 | 69 | |
| 11 | 2011 | 39 | |
| 12 | 2010 | 13 | |
| 13 | 2008 | 132 | |
| 14 | 2004 | 10 | |
| 15 | Progestágenos y cáncer de mama: desarrollo de un modelo experimental | 2003 | 1 |
| 16 | 2003 | 31 | |
| 17 | 2001 | 23 | |
| 18 | 1998 | 18 | |
| 19 | [Progestin-induced mammary adenocarcinomas in BALB/c mice. Progression from hormone-dependent to autonomous tumors]. | 1997 | 8 |
| 20 | 1994 | 24 |
About Claudia Lanari
Claudia Lanari is a scholar working on Genetics, Toxicology and Oncology, having authored 98 papers that have together received 2.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (58 papers), Cancer Cells and Metastasis (25 papers), Cytokine Signaling Pathways and Interactions (17 papers), Fibroblast Growth Factor Research (15 papers), HER2/EGFR in Cancer Research (12 papers), Bioactive Compounds and Antitumor Agents (7 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and Breast Cancer Treatment Studies (7 papers). The work is most often cited by research in Oncology (1.1k citations), Genetics (1.0k citations) and Cancer Research (436 citations). Claudia Lanari has collaborated with scholars based in Argentina, United States and Portugal. Frequent co-authors include Alfredo Molinolo, Caroline A. Lamb, Sebastián Giulianelli, Christiane Dosne Pasqualini, Victoria Fabris, Silvia I. Vanzulli, Victoria Wargon, Luísa A. Helguero, Isabel A Lüthy and Virginia Novaro. Their work appears in journals such as The Journal of Immunology, PLoS ONE and JNCI Journal of the National Cancer Institute.
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.