Concetta Di Mauro

53 total papers · 669 total citations
21 papers, 473 citations indexed

About

Concetta Di Mauro is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Concetta Di Mauro has authored 21 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Concetta Di Mauro's work include PI3K/AKT/mTOR signaling in cancer (5 papers), Flood Risk Assessment and Management (4 papers) and Hydrology and Drought Analysis (3 papers). Concetta Di Mauro is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Flood Risk Assessment and Management (4 papers) and Hydrology and Drought Analysis (3 papers). Concetta Di Mauro collaborates with scholars based in Italy, Luxembourg and United States. Concetta Di Mauro's co-authors include Roberto Bianco, Alberto Servetto, Luigi Formisano, Roberta Marciano, Sabino De Placido, Valentina Damato, Roberta Rosa, Bianca Maria Veneziani, Lucia Raimondo and Fortunato Ciardiello and has published in prestigious journals such as Water Resources Research, International Journal of Molecular Sciences and British Journal of Cancer.

In The Last Decade

Concetta Di Mauro

21 papers receiving 469 citations

Author Peers

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

Author Last Decade Papers Cites
Concetta Di Mauro 323 165 83 60 46 21 473
Yi He 174 0.5× 70 0.4× 118 1.4× 119 2.0× 15 0.3× 20 405
Zhenfa Zhang 245 0.8× 115 0.7× 102 1.2× 226 3.8× 34 0.7× 25 519
Qianqian Ju 185 0.6× 159 1.0× 67 0.8× 112 1.9× 12 0.3× 29 445
Minzhang Cheng 387 1.2× 112 0.7× 71 0.9× 113 1.9× 56 1.2× 26 545
In‐Gyu Kim 194 0.6× 141 0.9× 52 0.6× 129 2.1× 33 0.7× 30 418
Daniella Bianchi‐Frias 283 0.9× 141 0.9× 199 2.4× 106 1.8× 18 0.4× 13 541
John D. Karalis 116 0.4× 212 1.3× 109 1.3× 89 1.5× 24 0.5× 31 455
Hao Fan 326 1.0× 38 0.2× 39 0.5× 283 4.7× 28 0.6× 26 498
Wenxi Yu 194 0.6× 121 0.7× 165 2.0× 94 1.6× 39 0.8× 36 471
Jeremy M. Arnold 312 1.0× 115 0.7× 51 0.6× 108 1.8× 63 1.4× 18 536

Countries citing papers authored by Concetta Di Mauro

Since Specialization
Citations

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

Fields of papers citing papers by Concetta Di Mauro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Concetta Di Mauro

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