Fabrizio Monaco

16 total papers · 421 total citations
12 papers, 312 citations indexed

About

Fabrizio Monaco is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Molecular Biology. According to data from OpenAlex, Fabrizio Monaco has authored 12 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Fabrizio Monaco's work include Thyroid Disorders and Treatments (6 papers), T-cell and B-cell Immunology (3 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). Fabrizio Monaco is often cited by papers focused on Thyroid Disorders and Treatments (6 papers), T-cell and B-cell Immunology (3 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). Fabrizio Monaco collaborates with scholars based in Italy, United States and Poland. Fabrizio Monaco's co-authors include Giorgio Napolitano, Cesidio Giuliani, Ines Bucci, Jacob Robbins, Leonard D. Kohn, Mauro Piantelli, Antonino Grassadonia, Serena Di Santo, Dinah S. Singer and Cosmo Rossi and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Fabrizio Monaco

12 papers receiving 294 citations

Author Peers

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

Author Last Decade Papers Cites
Fabrizio Monaco 106 87 74 39 32 12 312
Agnese Granata 56 0.5× 146 1.7× 55 0.7× 23 0.6× 31 1.0× 23 362
Jesús M. López Martí 39 0.4× 109 1.3× 66 0.9× 25 0.6× 41 1.3× 16 364
Gerard Vassiliou 52 0.5× 163 1.9× 47 0.6× 41 1.1× 29 0.9× 12 361
Brigitte Janvier 35 0.3× 169 1.9× 47 0.6× 21 0.5× 24 0.8× 15 331
Stela Z. Berisha 86 0.8× 104 1.2× 76 1.0× 16 0.4× 38 1.2× 11 340
Sudichhya Shrestha 101 1.0× 158 1.8× 43 0.6× 18 0.5× 24 0.8× 11 365
Carina Hallberg 85 0.8× 156 1.8× 38 0.5× 14 0.4× 19 0.6× 9 360
Tae-Yon Chun 144 1.4× 141 1.6× 52 0.7× 29 0.7× 111 3.5× 10 363
Coralie J. Cornish 84 0.8× 175 2.0× 67 0.9× 21 0.5× 19 0.6× 10 310
Helena Lindmark 30 0.3× 155 1.8× 87 1.2× 52 1.3× 12 0.4× 11 324

Countries citing papers authored by Fabrizio Monaco

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Monaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Monaco

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