Claudia Torricelli

33 total papers · 914 total citations
21 papers, 778 citations indexed

About

Claudia Torricelli is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Claudia Torricelli has authored 21 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Physiology. Recurrent topics in Claudia Torricelli's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Melanoma and MAPK Pathways (4 papers) and Peptidase Inhibition and Analysis (3 papers). Claudia Torricelli is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Melanoma and MAPK Pathways (4 papers) and Peptidase Inhibition and Analysis (3 papers). Claudia Torricelli collaborates with scholars based in Italy, South Korea and United States. Claudia Torricelli's co-authors include Emanuela Maioli, Giuseppe Valacchi, Vittoria Fortino, Karel Souček, Michela Muscettola, A. Pacini, Claudia Sticozzi, Nila Volpi, Eva Slabáková and Henry Jay Forman and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Annals of the New York Academy of Sciences and Cellular and Molecular Life Sciences.

In The Last Decade

Claudia Torricelli

21 papers receiving 761 citations

Author Peers

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

Author						Papers	Cites
Claudia Torricelli	299	178	94	85	82	21	778
Yogesh K. Dhuriya	443 1.5×	94 0.5×	98 1.0×	110 1.3×	67 0.8×	20	877
M. J. Richard	272 0.9×	113 0.6×	83 0.9×	46 0.5×	33 0.4×	17	875
Ayesha Ismail	457 1.5×	119 0.7×	47 0.5×	50 0.6×	68 0.8×	34	896
Lin Tang	306 1.0×	121 0.7×	193 2.1×	73 0.9×	47 0.6×	23	818
Min‐Hyun Kim	248 0.8×	143 0.8×	114 1.2×	92 1.1×	53 0.6×	22	792
Chandikumar S. Elangbam	224 0.7×	121 0.7×	56 0.6×	84 1.0×	64 0.8×	28	765
Marina Carini	237 0.8×	124 0.7×	40 0.4×	52 0.6×	33 0.4×	15	803
Mohammad Reza Sepand	279 0.9×	70 0.4×	133 1.4×	48 0.6×	77 0.9×	37	904
Ahmad Alsulimani	252 0.8×	97 0.5×	45 0.5×	52 0.6×	35 0.4×	20	727
Raju Khatri	568 1.9×	88 0.5×	43 0.5×	57 0.7×	59 0.7×	10	872

Countries citing papers authored by Claudia Torricelli

Since Specialization

Citations

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

Fields of papers citing papers by Claudia Torricelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Torricelli

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