Matteo Trudu

19 total papers · 653 total citations
8 papers, 393 citations indexed

About

Matteo Trudu is a scholar working on Molecular Biology, Nephrology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matteo Trudu has authored 8 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Nephrology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matteo Trudu's work include Chronic Kidney Disease and Diabetes (3 papers), Kidney Stones and Urolithiasis Treatments (3 papers) and Histone Deacetylase Inhibitors Research (2 papers). Matteo Trudu is often cited by papers focused on Chronic Kidney Disease and Diabetes (3 papers), Kidney Stones and Urolithiasis Treatments (3 papers) and Histone Deacetylase Inhibitors Research (2 papers). Matteo Trudu collaborates with scholars based in Italy, Belgium and Croatia. Matteo Trudu's co-authors include Luca Rampoldi, Céline Schaeffer, Masami Ikehata, Maria Pia Rastaldi, Olivier Devuyst, Kamel Laghmani, Lorena Citterio, Johannes Loffing, Francesco Trevisani and Paolo Manunta and has published in prestigious journals such as Nature Medicine, Scientific Reports and Kidney International.

In The Last Decade

Matteo Trudu

8 papers receiving 387 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Trudu 156 145 107 96 92 8 393
Guðmundur I. Eyjólfsson 170 1.1× 116 0.8× 143 1.3× 89 0.9× 92 1.0× 12 439
Julia Vara 167 1.1× 185 1.3× 96 0.9× 37 0.4× 59 0.6× 11 443
Thomas Kahl 98 0.6× 247 1.7× 145 1.4× 28 0.3× 59 0.6× 11 394
Linda Xu 222 1.4× 207 1.4× 146 1.4× 87 0.9× 103 1.1× 10 421
Lisa Lam 126 0.8× 208 1.4× 43 0.4× 42 0.4× 41 0.4× 11 419
Stella Feld 130 0.8× 168 1.2× 40 0.4× 66 0.7× 69 0.8× 9 416
J. Douglas Smith 119 0.8× 140 1.0× 78 0.7× 100 1.0× 68 0.7× 10 416
William J. Maierhofer 202 1.3× 91 0.6× 117 1.1× 39 0.4× 50 0.5× 10 381
Annelies De Maré 187 1.2× 162 1.1× 39 0.4× 57 0.6× 12 0.1× 9 399
Scott Van Why 84 0.5× 109 0.8× 44 0.4× 17 0.2× 47 0.5× 9 339

Countries citing papers authored by Matteo Trudu

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Trudu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Trudu

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