Chiara Da Pieve

97 total papers · 731 total citations
28 papers, 569 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 569 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 564 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chiara Da Pieve	305	218	155	93	71	28	569
Philippe Auzeloux	187 0.6×	218 1.0×	148 1.0×	65 0.7×	73 1.0×	43	507
Margaret S. Cooper	197 0.6×	132 0.6×	157 1.0×	77 0.8×	77 1.1×	23	537
Lingyi Sun	257 0.8×	170 0.8×	225 1.5×	106 1.1×	106 1.5×	34	649
Vernon L. Alvarez	264 0.9×	275 1.3×	105 0.7×	66 0.7×	45 0.6×	23	592
Zhengyuan Zhou	205 0.7×	309 1.4×	207 1.3×	139 1.5×	65 0.9×	38	638
Horrick Sharma	234 0.8×	193 0.9×	145 0.9×	118 1.3×	78 1.1×	27	672
Gaurav Malviya	160 0.5×	183 0.8×	170 1.1×	81 0.9×	72 1.0×	34	616
Sudhir Shah	228 0.7×	250 1.1×	147 0.9×	136 1.5×	55 0.8×	31	689
Thomas Sroka	284 0.9×	148 0.7×	101 0.7×	51 0.5×	78 1.1×	18	499
Shundong Ji	227 0.7×	149 0.7×	122 0.8×	47 0.5×	64 0.9×	35	500

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

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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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