Claudia Piutti

24 total papers · 1.3k total citations
12 papers, 865 citations indexed

About

Claudia Piutti is a scholar working on Organic Chemistry, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Claudia Piutti has authored 12 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 4 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Claudia Piutti's work include Advanced Synthetic Organic Chemistry (3 papers), Chemical synthesis and alkaloids (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Claudia Piutti is often cited by papers focused on Advanced Synthetic Organic Chemistry (3 papers), Chemical synthesis and alkaloids (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Claudia Piutti collaborates with scholars based in Italy, United Kingdom and United States. Claudia Piutti's co-authors include Francesca Quartieri, Ian R. Baxendale, Steven V. Ley, Gianluca Papeo, Barbara Forte, Alessandra Scolaro, Beatrice Malgesini, Maria Grazia Borrello, Maria Grazia Rizzetti and Barbara Pasini and has published in prestigious journals such as Angewandte Chemie International Edition, Molecular and Cellular Biology and Oncogene.

In The Last Decade

Claudia Piutti

12 papers receiving 850 citations

Author Peers

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

Author						Papers	Cites
Claudia Piutti	475	336	99	76	73	12	865
Christian Bubert	522 1.1×	435 1.3×	62 0.6×	30 0.4×	102 1.4×	22	1.0k
Kimberly O. Cameron	271 0.6×	269 0.8×	193 1.9×	28 0.4×	79 1.1×	20	929
Claudia Rosenbaum	277 0.6×	445 1.3×	90 0.9×	160 2.1×	28 0.4×	26	834
Nicole Wattez	282 0.6×	461 1.4×	143 1.4×	49 0.6×	51 0.7×	19	898
Diane A. Trainor	251 0.5×	528 1.6×	175 1.8×	151 2.0×	44 0.6×	22	1.0k
Kyriacos C. Nicolaou	231 0.5×	392 1.2×	126 1.3×	37 0.5×	16 0.2×	17	829
David L. Ladd	257 0.5×	297 0.9×	75 0.8×	40 0.5×	34 0.5×	27	844
Carl P. Ciosek	210 0.4×	545 1.6×	125 1.3×	37 0.5×	70 1.0×	23	931
Stefan Jaroch	244 0.5×	228 0.7×	105 1.1×	25 0.3×	139 1.9×	24	843
Stephen E. de Laszlo	483 1.0×	394 1.2×	41 0.4×	56 0.7×	104 1.4×	28	786

Countries citing papers authored by Claudia Piutti

Since Specialization

Citations

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

Fields of papers citing papers by Claudia Piutti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Piutti

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Piutti. A scholar is included among the top collaborators of Claudia Piutti 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 Piutti. Claudia Piutti 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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