Chiara Da Pieve

741 total citations
28 papers, 579 citations indexed

About

Chiara Da Pieve is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Chiara Da Pieve has authored 28 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Oncology. Recurrent topics in Chiara Da Pieve's work include Radiopharmaceutical Chemistry and Applications (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Chiara Da Pieve is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Chiara Da Pieve collaborates with scholars based in United Kingdom, Poland and Germany. Chiara Da Pieve's co-authors include Sotiris Missailidis, Alan C. Perkins, Gabriela Krämer-Marek, Graham Smith, Louis Allott, Elaine Blackshaw, Bernhard Spingler, Kevin J. Harrington, David R. Turton and Thomas A. Burley and has published in prestigious journals such as Cancer Research, Chemical Communications and Clinical Cancer Research.

In The Last Decade

Chiara Da Pieve

28 papers receiving 574 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chiara Da Pieve United Kingdom 14 306 220 156 96 73 28 579
Margaret S. Cooper United Kingdom 13 197 0.6× 132 0.6× 157 1.0× 77 0.8× 77 1.1× 23 536
Lingyi Sun China 12 258 0.8× 172 0.8× 228 1.5× 106 1.1× 108 1.5× 34 659
Elisabeth Miot‐Noirault France 14 191 0.6× 194 0.9× 120 0.8× 46 0.5× 76 1.0× 31 469
Zhengyuan Zhou United States 19 206 0.7× 313 1.4× 214 1.4× 139 1.4× 66 0.9× 38 645
Ashwin Ragupathi United States 10 184 0.6× 204 0.9× 173 1.1× 33 0.3× 53 0.7× 15 451
Summer Y.Y. Ha Hong Kong 8 140 0.5× 176 0.8× 241 1.5× 101 1.1× 100 1.4× 11 466
Chiun-Wei Huang United States 12 172 0.6× 224 1.0× 162 1.0× 168 1.8× 69 0.9× 14 559
Diego A. Gianolio United States 14 487 1.6× 211 1.0× 268 1.7× 41 0.4× 49 0.7× 32 889
Michael J. LaBarre United States 13 390 1.3× 311 1.4× 149 1.0× 40 0.4× 26 0.4× 27 820
Bangwen Xie United Kingdom 9 178 0.6× 124 0.6× 73 0.5× 210 2.2× 88 1.2× 11 497

Countries citing papers authored by Chiara Da Pieve

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Da Pieve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chiara Da Pieve. 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 Chiara Da Pieve. The network helps show where Chiara Da Pieve may publish in the future.

Co-authorship network of co-authors of Chiara Da Pieve

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Da Pieve. A scholar is included among the top collaborators of Chiara Da Pieve 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 Chiara Da Pieve. Chiara Da Pieve 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.
Pieve, Chiara Da, Ewa Chmielik, Andrea d’Amico, et al.. (2024). Imaging PD-L1 in the brain—Journey from the lab to the clinic. Neuro-Oncology. 27(2). 567–582. 4 indexed citations
2.
Pieve, Chiara Da, Wojciech Szopa, Tatjana Starzetz, et al.. (2023). Immuno-PET Imaging of Tumour PD-L1 Expression in Glioblastoma. Cancers. 15(12). 3131–3131. 11 indexed citations
3.
Privitera, Laura, Dale J. Waterhouse, Irene Paraboschi, et al.. (2023). Shortwave Infrared Imaging Enables High-Contrast Fluorescence-Guided Surgery in Neuroblastoma. Cancer Research. 83(12). 2077–2089. 12 indexed citations
4.
Pieve, Chiara Da, et al.. (2022). New Fully Automated Preparation of High Apparent Molar Activity 68Ga-FAPI-46 on a Trasis AiO Platform. Molecules. 27(3). 675–675. 18 indexed citations
5.
Pieve, Chiara Da, Jessica K.R. Boult, Simon P. Robinson, et al.. (2022). Triggering anti-GBM immune response with EGFR-mediated photoimmunotherapy. BMC Medicine. 20(1). 16–16. 21 indexed citations
6.
Klika, Karel D., Chiara Da Pieve, Klaus Kopka, Graham Smith, & Ata Makarem. (2021). Synthesis and application of a thiol-reactive HBED-type chelator for development of easy-to-produce Ga-radiopharmaceutical kits and imaging probes. Organic & Biomolecular Chemistry. 19(8). 1722–1726. 17 indexed citations
7.
Pieve, Chiara Da, Thomas A. Burley, Anant Shah, et al.. (2020). Immunomodulatory activity of IR700-labelled affibody targeting HER2. Cell Death and Disease. 11(10). 886–886. 24 indexed citations
8.
Pieve, Chiara Da, et al.. (2020). Thiol-Reactive PODS-Bearing Bifunctional Chelators for the Development of EGFR-Targeting [18F]AlF-Affibody Conjugates. Molecules. 25(7). 1562–1562. 17 indexed citations
9.
Krämer-Marek, Gabriela, et al.. (2019). Triggering anti-GBM immune response with EGFR-mediated photoimmunotherapy. Annals of Oncology. 30. v153–v153. 2 indexed citations
10.
Pieve, Chiara Da, Thomas A. Burley, Rhodri Smith, et al.. (2018). HER3-Mediated Resistance to Hsp90 Inhibition Detected in Breast Cancer Xenografts by Affibody-Based PET Imaging. Clinical Cancer Research. 24(8). 1853–1865. 23 indexed citations
11.
Burley, Thomas A., Chiara Da Pieve, Louis Allott, et al.. (2018). Affibody-Based PET Imaging to Guide EGFR-Targeted Cancer Therapy in Head and Neck Squamous Cell Cancer Models. Journal of Nuclear Medicine. 60(3). 353–361. 25 indexed citations
12.
Allott, Louis, Chiara Da Pieve, David R. Turton, & Graham Smith. (2017). A general [18F]AlF radiochemistry procedure on two automated synthesis platforms. Reaction Chemistry & Engineering. 2(1). 68–74. 23 indexed citations
13.
Denis-Bacelar, Ana M., Chiara Da Pieve, Rowena L. Paul, et al.. (2016). Pre-clinical quantitative imaging and mouse-specific dosimetry for 111In-labelled radiotracers. EJNMMI Research. 6(1). 85–85. 2 indexed citations
14.
Pieve, Chiara Da, et al.. (2016). Efficient [18F]AlF Radiolabeling of ZHER3:8698 Affibody Molecule for Imaging of HER3 Positive Tumors. Bioconjugate Chemistry. 27(8). 1839–1849. 61 indexed citations
15.
Śmiałek, Małgorzata A., Sylwia Ptasińska, Jason Gow, Chiara Da Pieve, & N. J. Mason. (2014). Radiosensitization of DNA in presence of Pt(II)-based compounds. The European Physical Journal D. 68(4). 4 indexed citations
16.
17.
Pieve, Chiara Da, Alan C. Perkins, & Sotiris Missailidis. (2009). Anti-MUC1 aptamers: radiolabelling with 99mTc and biodistribution in MCF-7 tumour-bearing mice. Nuclear Medicine and Biology. 36(6). 703–710. 107 indexed citations
18.
Spingler, Bernhard, et al.. (2009). Interaction of Novel Metal Complexes with DNA: Synthetic and Structural Aspects. CHIMIA International Journal for Chemistry. 63(3). 153–153. 6 indexed citations
19.
Spingler, Bernhard, et al.. (2007). Efficient Routes for the Synthesis of 1,4,7,10,13-Pentaazacyclohexadecane-14,16-dione. Synthesis. 2007(5). 679–682. 1 indexed citations
20.
Spingler, Bernhard & Chiara Da Pieve. (2005). Induction of B- to Z-DNA transition by copper and zinc complexes with C(15) substituted macrocyclic pentaaza ligands. Dalton Transactions. 1637–1637. 29 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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