Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Breast Tumor Cell Lines From Pleural Effusions2
1974824 citationsRelda Cailleau, Russell K. Young et al.JNCI Journal of the National Cancer Instituteprofile →
Long-term human breast carcinoma cell lines of metastatic origin: Preliminary characterization
This map shows the geographic impact of Matilde Olivé'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 Matilde Olivé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matilde Olivé more than expected).
This network shows the impact of papers produced by Matilde Olivé. 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 Matilde Olivé. The network helps show where Matilde Olivé may publish in the future.
Co-authorship network of co-authors of Matilde Olivé
This figure shows the co-authorship network connecting the top 25 collaborators of Matilde Olivé.
A scholar is included among the top collaborators of Matilde Olivé 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 Matilde Olivé. Matilde Olivé is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
18 of 18 papers shown
1.
Carmona, Olga, et al.. (2008). [Paraneoplastic dermatomyositis associated with prostate cancer].. PubMed. 23(7). 469–71.1 indexed citations
2.
Fizazi, Karim, Charles R. Sikes, Jeri Kim, et al.. (2004). High efficacy of docetaxel with and without androgen deprivation and estramustine in preclinical models of advanced prostate cancer.. PubMed. 24(5A). 2897–903.22 indexed citations
Fizazi, Karim, Jun Yang, Sara Peleg, et al.. (2003). Prostate cancer cells-osteoblast interaction shifts expression of growth/survival-related genes in prostate cancer and reduces expression of osteoprotegerin in osteoblasts.. PubMed. 9(7). 2587–97.124 indexed citations
Yang, Jun, Karim Fizazi, Sara Peleg, et al.. (2001). Prostate cancer cells induce osteoblast differentiation through a Cbfa1-dependent pathway.. PubMed. 61(14). 5652–9.114 indexed citations
7.
Navone, Nora M., Matilde Olivé, Mustafa Özen, et al.. (1997). Establishment of two human prostate cancer cell lines derived from a single bone metastasis.. PubMed. 3(12 Pt 1). 2493–500.220 indexed citations
Untawale, Sachin, Mark Zorbas, Clague P. Hodgson, et al.. (1993). Transforming growth factor-alpha production and autoinduction in a colorectal carcinoma cell line (DiFi) with an amplified epidermal growth factor receptor gene.. PubMed. 53(7). 1630–6.31 indexed citations
11.
Gross, Mitchell E., Mark Zorbas, R. García, et al.. (1991). Cellular growth response to epidermal growth factor in colon carcinoma cells with an amplified epidermal growth factor receptor derived from a familial adenomatous polyposis patient.. PubMed. 51(5). 1452–9.70 indexed citations
Cailleau, Relda, et al.. (1978). Long-term human breast carcinoma cell lines of metastatic origin: Preliminary characterization. In Vitro Cellular & Developmental Biology - Plant. 14(11). 911–915.495 indexed citations breakdown →
18.
Cailleau, Relda, Russell K. Young, Matilde Olivé, & William J. Reeves. (1974). Breast Tumor Cell Lines From Pleural Effusions2. JNCI Journal of the National Cancer Institute. 53(3). 661–674.824 indexed citations breakdown →
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.