Angela Lanciotti

27 total papers · 810 total citations
21 papers, 566 citations indexed

About

Angela Lanciotti is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Angela Lanciotti has authored 21 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Neurology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Angela Lanciotti's work include RNA regulation and disease (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and RNA Research and Splicing (4 papers). Angela Lanciotti is often cited by papers focused on RNA regulation and disease (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and RNA Research and Splicing (4 papers). Angela Lanciotti collaborates with scholars based in Italy, Spain and Malta. Angela Lanciotti's co-authors include Elena Ambrosini, Maria Stefania Brignone, Tamara C. Petrucci, Francesca Aloisi, Sergio Visentin, Enrico Bertini, Paola Molinari, Gianfranco Macchia, Chiara De Nuccio and Serena Camerini and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Angela Lanciotti

20 papers receiving 563 citations

Author Peers

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

Author Last Decade Papers Cites
Angela Lanciotti 399 140 119 100 69 21 566
Maria Stefania Brignone 377 0.9× 157 1.1× 121 1.0× 40 0.4× 75 1.1× 20 521
Cinzia Cancellieri 405 1.0× 118 0.8× 131 1.1× 146 1.5× 92 1.3× 14 661
Nienke L. Postma 429 1.1× 145 1.0× 78 0.7× 84 0.8× 40 0.6× 12 571
Lvshuang Liao 342 0.9× 60 0.4× 120 1.0× 78 0.8× 49 0.7× 20 567
Xiao-ming Li 194 0.5× 122 0.9× 104 0.9× 66 0.7× 40 0.6× 15 515
Thanh Hoang 415 1.0× 139 1.0× 108 0.9× 73 0.7× 55 0.8× 20 594
Carmen Casal 278 0.7× 134 1.0× 106 0.9× 84 0.8× 98 1.4× 17 527
Joseph F. Sanchez 349 0.9× 86 0.6× 126 1.1× 51 0.5× 46 0.7× 13 572
Asako Takanohashi 419 1.1× 147 1.1× 51 0.4× 184 1.8× 34 0.5× 28 649
Fernando C. Baltanás 364 0.9× 97 0.7× 128 1.1× 48 0.5× 39 0.6× 31 642

Countries citing papers authored by Angela Lanciotti

Since Specialization
Citations

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

Fields of papers citing papers by Angela Lanciotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Lanciotti

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