Claudia Martelli

50 total papers · 1.1k total citations
28 papers, 738 citations indexed

About

Claudia Martelli is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Claudia Martelli has authored 28 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Spectroscopy and 7 papers in Cell Biology. Recurrent topics in Claudia Martelli's work include Advanced Proteomics Techniques and Applications (10 papers), Pituitary Gland Disorders and Treatments (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Claudia Martelli is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Pituitary Gland Disorders and Treatments (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Claudia Martelli collaborates with scholars based in Italy, United States and Switzerland. Claudia Martelli's co-authors include A. Tagger, Giuseppe Nardi, Umberto Gelatti, Francesco Donato, Massimo Castagnola, Claudia Desiderio, Federica Iavarone, M.L. Ribero, Antonella Savio and Francesco Callea and has published in prestigious journals such as Scientific Reports, The Journal of Urology and Journal of Hepatology.

In The Last Decade

Claudia Martelli

28 papers receiving 724 citations

Author Peers

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

Author						Papers	Cites
Claudia Martelli	239	214	164	140	120	28	738
Zhenzhen Yao	375 1.6×	221 1.0×	139 0.8×	129 0.9×	147 1.2×	17	793
Jing Han	431 1.8×	138 0.6×	92 0.6×	105 0.8×	115 1.0×	56	851
Ines Abbate	279 1.2×	100 0.5×	116 0.7×	87 0.6×	299 2.5×	46	840
S Mishkin	450 1.9×	161 0.8×	135 0.8×	40 0.3×	127 1.1×	29	880
Huaidong Hu	418 1.7×	55 0.3×	122 0.7×	58 0.4×	183 1.5×	29	858
Keane K. Y. Lai	344 1.4×	69 0.3×	264 1.6×	31 0.2×	124 1.0×	26	739
Monika Lewińska	379 1.6×	227 1.1×	192 1.2×	60 0.4×	182 1.5×	25	815
Maryvonne Rissel	219 0.9×	191 0.9×	183 1.1×	30 0.2×	108 0.9×	34	775
Ping Sun	314 1.3×	77 0.4×	155 0.9×	94 0.7×	48 0.4×	33	671
Mao Mu	337 1.4×	60 0.3×	252 1.5×	68 0.5×	64 0.5×	34	838

Countries citing papers authored by Claudia Martelli

Since Specialization

Citations

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

Fields of papers citing papers by Claudia Martelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Martelli

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