Angela Lauriola

32 total papers · 1.5k total citations
23 papers, 1.1k citations indexed

About

Angela Lauriola is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Angela Lauriola has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Cell Biology. Recurrent topics in Angela Lauriola's work include Ubiquitin and proteasome pathways (5 papers), Peptidase Inhibition and Analysis (4 papers) and Biochemical and Molecular Research (3 papers). Angela Lauriola is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Peptidase Inhibition and Analysis (4 papers) and Biochemical and Molecular Research (3 papers). Angela Lauriola collaborates with scholars based in Italy, United Kingdom and United States. Angela Lauriola's co-authors include Domenico D’Arca, Pierpaola Davalli, Andrea Caporali, Tijana Mitić, Gaetano Marverti, Maria Paola Costi, Lorena Losi, Matteo Santucci, Andrea Martello and Glauco Ponterini and has published in prestigious journals such as Molecular Cell, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Angela Lauriola

22 papers receiving 1.1k citations

Hit Papers

ROS, Cell Senescence, and... 2016 2026 2019 2022 2016 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Angela Lauriola 573 233 110 107 106 23 1.1k
Tomoko Kanno 691 1.2× 281 1.2× 108 1.0× 86 0.8× 92 0.9× 38 1.4k
Inah Hwang 670 1.2× 186 0.8× 92 0.8× 83 0.8× 171 1.6× 27 1.2k
Niloofar Ale‐Agha 563 1.0× 220 0.9× 93 0.8× 72 0.7× 109 1.0× 31 1.3k
Cristina Sánchez‐Ramos 698 1.2× 234 1.0× 99 0.9× 61 0.6× 181 1.7× 19 1.3k
Ehab H. Sarsour 837 1.5× 187 0.8× 97 0.9× 128 1.2× 87 0.8× 38 1.5k
Sankaranarayanan Kannan 788 1.4× 260 1.1× 103 0.9× 74 0.7× 56 0.5× 23 1.2k
Dorian V. Ziegler 619 1.1× 232 1.0× 125 1.1× 94 0.9× 119 1.1× 12 1.0k
Lin Dou 524 0.9× 283 1.2× 88 0.8× 71 0.7× 154 1.5× 25 1.2k
Kyu Won Kim 483 0.8× 221 0.9× 84 0.8× 56 0.5× 87 0.8× 24 1.0k
Mingjing Yan 448 0.8× 256 1.1× 74 0.7× 77 0.7× 96 0.9× 18 1.1k

Countries citing papers authored by Angela Lauriola

Since Specialization
Citations

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

Fields of papers citing papers by Angela Lauriola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Lauriola

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