Carlo Palmieri

10.3k total citations · 1 hit paper
162 papers, 5.5k citations indexed

About

Carlo Palmieri is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Carlo Palmieri has authored 162 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Oncology, 47 papers in Cancer Research and 45 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Carlo Palmieri's work include Breast Cancer Treatment Studies (36 papers), HER2/EGFR in Cancer Research (35 papers) and Estrogen and related hormone effects (34 papers). Carlo Palmieri is often cited by papers focused on Breast Cancer Treatment Studies (36 papers), HER2/EGFR in Cancer Research (35 papers) and Estrogen and related hormone effects (34 papers). Carlo Palmieri collaborates with scholars based in United Kingdom, United States and Italy. Carlo Palmieri's co-authors include R. Charles Coombes, Ondřej Gojiš, Jason S. Carroll, Gordon D. Brown, Kelly A. Holmes, Carlos Caldas, Suet‐Feung Chin, H. Raza Ali, Caryn S. Ross-Innes and Simak Ali and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Carlo Palmieri

155 papers receiving 5.4k citations

Hit Papers

Differential oestrogen receptor binding is associated wit... 2012 2026 2016 2021 2012 400 800 1.2k
What are hit papers?

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.

  1. Differential oestrogen receptor binding is associated with clinical outcome in breast cancer
    2012 1.3k citations Caryn S. Ross-Innes, Rory Stark et al. Nature profile →

Peers

Carlo Palmieri
Olaf Ortmann Germany
Athanassios P. Kyritsis United States
Takuya Moriya Japan
Eddy S. Yang United States
Ryuichiro Doi Japan
James C.H. Hardwick Netherlands
Yasuhiro Miki Japan
Qianxing Mo United States
Charles V. Clevenger United States
Moshe Z. Papa Israel
Olaf Ortmann Germany
Carlo Palmieri
Citations per year, relative to Carlo Palmieri Carlo Palmieri (= 1×) peers Olaf Ortmann

Countries citing papers authored by Carlo Palmieri

Since Specialization
Citations

This map shows the geographic impact of Carlo Palmieri'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 Carlo Palmieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Palmieri more than expected).

Fields of papers citing papers by Carlo Palmieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlo Palmieri. 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 Carlo Palmieri. The network helps show where Carlo Palmieri may publish in the future.

Co-authorship network of co-authors of Carlo Palmieri

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Palmieri. A scholar is included among the top collaborators of Carlo Palmieri 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 Carlo Palmieri. Carlo Palmieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cheng, Vinton W.T., Rasheed Zakaria, Amanda Fitzpatrick, et al.. (2024). BMScope: A scoping review to chart the evolving clinical study landscape in brain and leptomeningeal metastasis. Neuro-Oncology. 26(12). 2193–2207. 1 indexed citations
2.
Turtle, Lance, Thomas M Drake, Mathew Thorpe, et al.. (2024). Changes in hospital mortality in patients with cancer during the COVID-19 pandemic (ISARIC-CCP-UK): a prospective, multicentre cohort study. The Lancet Oncology. 25(5). 636–648. 5 indexed citations
3.
Giannoudis, Athina, Ethan Sokol, Evangelia Razis, et al.. (2024). Breast cancer brain metastases genomic profiling identifies alterations targetable by immune-checkpoint and PARP inhibitors. npj Precision Oncology. 8(1). 282–282. 4 indexed citations
4.
5.
Brackenbury, William J. & Carlo Palmieri. (2023). Blocking channels to metastasis: targeting sodium transport in breast cancer. Breast Cancer Research. 25(1). 140–140. 3 indexed citations
6.
Harper, Gregory, et al.. (2023). 245P Abemaciclib for treating patients with HR+, HER2- advanced/metastatic breast cancer in the UK: A real-world study. ESMO Open. 8(1). 101433–101433. 2 indexed citations
7.
8.
Page, Karen, Luke Martinson, Daniel Fernández-García, et al.. (2021). Circulating Tumor DNA Profiling From Breast Cancer Screening Through to Metastatic Disease. JCO Precision Oncology. 5(5). 1768–1776. 22 indexed citations
9.
Palmieri, Carlo & Iain R. Macpherson. (2021). A review of the evidence base for utilizing Child-Pugh criteria for guiding dosing of anticancer drugs in patients with cancer and liver impairment. ESMO Open. 6(3). 100162–100162. 7 indexed citations
10.
Giannoudis, Athina, Alexander Sartori, Rasheed Zakaria, et al.. (2021). Genomic profiling using the UltraSEEK panel identifies discordancy between paired primary and breast cancer brain metastases and an association with brain metastasis-free survival. Breast Cancer Research and Treatment. 190(2). 241–253. 10 indexed citations
11.
Coleman, Rob, Janet E. Brown, Emma Rathbone, et al.. (2020). CApecitabine plus Radium-223 (Xofigo™) in breast cancer patients with BONe metastases (CARBON): study protocol for a phase IB/IIA randomised controlled trial. Trials. 21(1). 89–89. 11 indexed citations
12.
Ruenraroengsak, Pakatip, Darya Kiryushko, Ioannis G. Theodorou, et al.. (2019). Frizzled-7-targeted delivery of zinc oxide nanoparticles to drug-resistant breast cancer cells. Nanoscale. 11(27). 12858–12870. 41 indexed citations
13.
14.
Ricciardelli, Carmela, Tina Bianco‐Miotto, Shalini Jindal, et al.. (2018). The Magnitude of Androgen Receptor Positivity in Breast Cancer Is Critical for Reliable Prediction of Disease Outcome. Clinical Cancer Research. 24(10). 2328–2341. 62 indexed citations
15.
Zwart, Wilbert, Koen D. Flach, Tarek M.A. Abdel-Fatah, et al.. (2015). SRC3 Phosphorylation at Serine 543 Is a Positive Independent Prognostic Factor in ER-Positive Breast Cancer. Clinical Cancer Research. 22(2). 479–491. 14 indexed citations
16.
Ross-Innes, Caryn S., Rory Stark, Andrew E. Teschendorff, et al.. (2012). Differential oestrogen receptor binding is associated with clinical outcome in breast cancer. Nature. 481(7381). 389–393. 1304 indexed citations breakdown →
17.
Kenny, Laura, Kaiyumars Contractor, Rainer Hinz, et al.. (2010). Reproducibility of [11C]Choline-Positron Emission Tomography and Effect of Trastuzumab. Clinical Cancer Research. 16(16). 4236–4245. 42 indexed citations
18.
Kenny, Laura, Kaiyumars Contractor, Justin Stebbing, et al.. (2009). Altered Tissue 3′-Deoxy-3′-[18F]Fluorothymidine Pharmacokinetics in Human Breast Cancer following Capecitabine Treatment Detected by Positron Emission Tomography. Clinical Cancer Research. 15(21). 6649–6657. 49 indexed citations
19.
Shousha, Sami, et al.. (2007). Metastatic ductal eccrine adenocarcinoma masquerading as an invasive ductal carcinoma of the male breast. Journal of Cutaneous Pathology. 34(12). 934–938. 6 indexed citations
20.
Palmieri, Carlo, Shigehira Saji, M Zelada-Hedman, et al.. (2002). Estrogen receptor beta in breast cancer.. Endocrine Related Cancer. 9(1). 1–13. 199 indexed citations

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.

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