Michela Mangano

13 total papers · 834 total citations
11 papers, 571 citations indexed

About

Michela Mangano is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics. According to data from OpenAlex, Michela Mangano has authored 11 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nephrology, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Nutrition and Dietetics. Recurrent topics in Michela Mangano's work include Parathyroid Disorders and Treatments (6 papers), Dialysis and Renal Disease Management (3 papers) and Neurological and metabolic disorders (2 papers). Michela Mangano is often cited by papers focused on Parathyroid Disorders and Treatments (6 papers), Dialysis and Renal Disease Management (3 papers) and Neurological and metabolic disorders (2 papers). Michela Mangano collaborates with scholars based in Italy, United States and Belarus. Michela Mangano's co-authors include Mario Cozzolino, Andrea Galassi, Paola Ciceri, Ferruccio Conte, Andrea Stucchi, Stefano Carugo, Irene Capelli, Giuseppe Cianciolo, Sagar U. Nigwekar and Piergiorgio Messa and has published in prestigious journals such as Nutrients, Nephrology Dialysis Transplantation and Toxins.

In The Last Decade

Michela Mangano

11 papers receiving 560 citations

Hit Papers

Cardiovascular disease in... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Michela Mangano 332 125 119 103 93 11 571
Nadya Mothu 421 1.3× 88 0.7× 107 0.9× 98 1.0× 122 1.3× 11 687
Young Shin Shin 297 0.9× 137 1.1× 106 0.9× 101 1.0× 108 1.2× 17 625
Torbjörn Linde 275 0.8× 120 1.0× 106 0.9× 90 0.9× 54 0.6× 24 627
Farzad Ziai 254 0.8× 170 1.4× 90 0.8× 72 0.7× 71 0.8× 14 641
Gérard Maruani 283 0.9× 147 1.2× 87 0.7× 140 1.4× 122 1.3× 24 635
Hiromichi Taniwaki 291 0.9× 230 1.8× 118 1.0× 161 1.6× 81 0.9× 17 617
Nelson Kopyt 407 1.2× 61 0.5× 122 1.0× 132 1.3× 70 0.8× 24 621
Silvia Carreira Ribeiro 548 1.7× 127 1.0× 88 0.7× 146 1.4× 142 1.5× 16 675
Muralidhar Acharya 430 1.3× 63 0.5× 87 0.7× 90 0.9× 82 0.9× 6 683
Sören Jakobsson 396 1.2× 64 0.5× 118 1.0× 82 0.8× 62 0.7× 12 654

Countries citing papers authored by Michela Mangano

Since Specialization
Citations

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

Fields of papers citing papers by Michela Mangano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Mangano

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