Mauro Cignarelli

131 total papers · 4.4k total citations
87 papers, 2.7k citations indexed

About

Mauro Cignarelli is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Epidemiology. According to data from OpenAlex, Mauro Cignarelli has authored 87 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Endocrinology, Diabetes and Metabolism, 15 papers in Nephrology and 15 papers in Epidemiology. Recurrent topics in Mauro Cignarelli's work include Diabetes Treatment and Management (12 papers), Chronic Kidney Disease and Diabetes (12 papers) and Thyroid Cancer Diagnosis and Treatment (11 papers). Mauro Cignarelli is often cited by papers focused on Diabetes Treatment and Management (12 papers), Chronic Kidney Disease and Diabetes (12 papers) and Thyroid Cancer Diagnosis and Treatment (11 papers). Mauro Cignarelli collaborates with scholars based in Italy, United States and Canada. Mauro Cignarelli's co-authors include Olga Lamacchia, R Giorgino, Giovanni De Pergola, Francesco Giorgino, Salvatore De Cosmo, Loreto Gesualdo, Nicola Pannacciulli, Matteo Landriscina, Carlo Zocchetti and Leonardo Soleo and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Mauro Cignarelli

86 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Mauro Cignarelli 879 580 454 419 417 87 2.7k
Tomoaki Morioka 819 0.9× 477 0.8× 442 1.0× 478 1.1× 529 1.3× 123 2.8k
Halıl Yaman 668 0.8× 506 0.9× 421 0.9× 429 1.0× 431 1.0× 119 3.2k
J. Harold Helderman 846 1.0× 401 0.7× 608 1.3× 577 1.4× 985 2.4× 121 4.1k
Sang Youb Han 712 0.8× 908 1.6× 979 2.2× 364 0.9× 538 1.3× 116 3.3k
Emanuela Orsi 1.7k 1.9× 483 0.8× 354 0.8× 305 0.7× 464 1.1× 93 3.0k
Marta Kalousová 582 0.7× 504 0.9× 770 1.7× 428 1.0× 324 0.8× 162 3.5k
Paolo Cavallo Perin 880 1.0× 561 1.0× 842 1.9× 295 0.7× 703 1.7× 82 3.2k
Minoru Yamakado 620 0.7× 610 1.1× 957 2.1× 607 1.4× 358 0.9× 129 3.5k
Muhei Tanaka 664 0.8× 406 0.7× 466 1.0× 730 1.7× 374 0.9× 106 2.7k
Wing Yee So 1.1k 1.2× 224 0.4× 674 1.5× 324 0.8× 371 0.9× 78 2.5k

Countries citing papers authored by Mauro Cignarelli

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Cignarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Cignarelli

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