Eleonora Bianconi

40 total papers · 1000 total citations
23 papers, 505 citations indexed

About

Eleonora Bianconi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Eleonora Bianconi has authored 23 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in Eleonora Bianconi's work include Liver Disease Diagnosis and Treatment (5 papers), Thyroid Disorders and Treatments (4 papers) and Diabetes Management and Research (4 papers). Eleonora Bianconi is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Thyroid Disorders and Treatments (4 papers) and Diabetes Management and Research (4 papers). Eleonora Bianconi collaborates with scholars based in Italy, Netherlands and Switzerland. Eleonora Bianconi's co-authors include Gianluca Perseghin, Francesca Zerbini, Stefano Ciardullo, Rosa Cannistraci, Silvia Perra, Emanuele Muraca, Guido Lattuada, Lorenzo Piemonti, Marina Scavini and Emanuele Bosi and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Diabetologia.

In The Last Decade

Eleonora Bianconi

23 papers receiving 498 citations

Author Peers

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

Author Last Decade Papers Cites
Eleonora Bianconi 222 148 130 110 88 23 505
Tomoka Fukutani 141 0.6× 148 1.0× 146 1.1× 62 0.6× 89 1.0× 15 454
Kentaro Tsunamoto 87 0.4× 156 1.1× 58 0.4× 54 0.5× 72 0.8× 26 514
Jenny Amaya‐Amaya 100 0.5× 44 0.3× 119 0.9× 58 0.5× 147 1.7× 21 593
Xiaoya Zheng 120 0.5× 91 0.6× 58 0.4× 100 0.9× 48 0.5× 34 533
Eduardo Larrañaga 171 0.8× 221 1.5× 32 0.2× 144 1.3× 26 0.3× 32 469
K. H. Usadel 221 1.0× 61 0.4× 212 1.6× 61 0.6× 133 1.5× 30 476
Hironaga Kuwahara 201 0.9× 117 0.8× 280 2.2× 191 1.7× 141 1.6× 21 570
M Izembart 309 1.4× 69 0.5× 63 0.5× 109 1.0× 48 0.5× 24 502
Mary Ellen Frustaci 176 0.8× 123 0.8× 159 1.2× 79 0.7× 80 0.9× 17 508
Ji Hun Choi 294 1.3× 147 1.0× 28 0.2× 151 1.4× 39 0.4× 16 496

Countries citing papers authored by Eleonora Bianconi

Since Specialization
Citations

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

Fields of papers citing papers by Eleonora Bianconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleonora Bianconi

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