Mauro Niero

134 total papers · 2.1k total citations
34 papers, 1.5k citations indexed

About

Mauro Niero is a scholar working on Surgery, Urology and Epidemiology. According to data from OpenAlex, Mauro Niero has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Urology and 6 papers in Epidemiology. Recurrent topics in Mauro Niero's work include Bladder and Urothelial Cancer Treatments (5 papers), Urinary Bladder and Prostate Research (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Mauro Niero is often cited by papers focused on Bladder and Urothelial Cancer Treatments (5 papers), Urinary Bladder and Prostate Research (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Mauro Niero collaborates with scholars based in Italy, Germany and United States. Mauro Niero's co-authors include Stephen P. McKenna, Thomas Kohlmann, Lynda Doward, Giovanni Apolone, D. Bucquet, Ingela Wiklund, Sonja M. Hunt, Jordi Alonso, Piero Amodio and Giulio Marchesini and has published in prestigious journals such as Gastroenterology, The Journal of Urology and Journal of Hepatology.

In The Last Decade

Mauro Niero

30 papers receiving 1.5k 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 Niero 398 339 326 198 187 34 1.5k
Jeffrey Vietri 310 0.8× 142 0.4× 137 0.4× 53 0.3× 120 0.6× 81 1.7k
D Hartwell 389 1.0× 264 0.8× 238 0.7× 116 0.6× 160 0.9× 37 1.8k
Mette Gislum 348 0.9× 56 0.2× 381 1.2× 259 1.3× 177 0.9× 40 2.1k
Lars‐Åke Mattsson 308 0.8× 177 0.5× 313 1.0× 771 3.9× 33 0.2× 52 2.2k
Kathleen M. Bungay 236 0.6× 143 0.4× 134 0.4× 54 0.3× 173 0.9× 28 2.2k
Jeffrey C Andrews 449 1.1× 42 0.1× 358 1.1× 85 0.4× 91 0.5× 35 1.9k
Vincenzo Di Ciommo 741 1.9× 130 0.4× 320 1.0× 261 1.3× 238 1.3× 73 2.0k
Rob Riemsma 244 0.6× 28 0.1× 181 0.6× 76 0.4× 265 1.4× 52 1.8k
Hans Krueger 287 0.7× 58 0.2× 474 1.5× 94 0.5× 81 0.4× 34 1.9k
Dong Chan Jin 157 0.4× 38 0.1× 297 0.9× 172 0.9× 136 0.7× 78 2.0k

Countries citing papers authored by Mauro Niero

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Niero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Niero

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