Claudia Lanari
- Oncology top 2%
- Genetics top 2%
- Molecular Biology top 10%
- Cancer Research top 5%
- Immunology top 10%
- Co-authors
- Alfredo MolinoloCaroline A. LambSebastián GiulianelliChristiane Dosne PasqualiniVictoria FabrisSilvia I. VanzulliVictoria WargonLuísa A. Helguero
- Topics
- Estrogen and related hormone effects (58 papers)Cancer Cells and Metastasis (25 papers)Cytokine Signaling Pathways and Interactions (17 papers)
- Cited by
- OncologyGeneticsCancer Research
- 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
- Molecular Biology 966
- Cancer Research 436
- Immunology 295
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 of co-authors of Claudia Lanari
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Lanari. A scholar is included among the top collaborators of Claudia Lanari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Claudia Lanari. Claudia Lanari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | Progesterone receptors in normal breast development and breast cancer | 8 |
| 4 | 2 | |
| 5 | 25 | |
| 6 | 15 | |
| 7 | 79 | |
| 8 | 68 | |
| 9 | 16 | |
| 10 | 69 | |
| 11 | 39 | |
| 12 | 13 | |
| 13 | 132 | |
| 14 | 10 | |
| 15 | Progestágenos y cáncer de mama: desarrollo de un modelo experimental | 1 |
| 16 | 31 | |
| 17 | 23 | |
| 18 | 18 | |
| 19 | [Progestin-induced mammary adenocarcinomas in BALB/c mice. Progression from hormone-dependent to autonomous tumors]. | 8 |
| 20 | 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) and Cytokine Signaling Pathways and Interactions (17 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.