Samuela Landini

45 total papers · 661 total citations
12 papers, 69 citations indexed

About

Samuela Landini is a scholar working on Molecular Biology, Nephrology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Samuela Landini has authored 12 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Nephrology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Samuela Landini's work include Renal Diseases and Glomerulopathies (4 papers), Biochemical Analysis and Sensing Techniques (2 papers) and melanin and skin pigmentation (2 papers). Samuela Landini is often cited by papers focused on Renal Diseases and Glomerulopathies (4 papers), Biochemical Analysis and Sensing Techniques (2 papers) and melanin and skin pigmentation (2 papers). Samuela Landini collaborates with scholars based in Italy, Belgium and Israel. Samuela Landini's co-authors include Benedetta Mazzinghi, Paola Romagnani, Luigi Cirillo, Francesca Becherucci, Iacopo Sardi, Veronica De Gregorio, Laura Giunti, Lorenzo Genitori, Anna Maria Buccoliero and Alberto Magi and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of the American Society of Nephrology.

In The Last Decade

Samuela Landini

9 papers receiving 68 citations

Author Peers

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

Author Last Decade Papers Cites
Samuela Landini 36 26 13 12 10 12 69
Constantinos Savva 44 1.2× 14 0.5× 7 0.5× 16 1.3× 11 1.1× 14 95
Nicholas Wang 63 1.8× 7 0.3× 10 0.8× 6 0.5× 9 0.9× 8 90
Kamal Khan 49 1.4× 19 0.7× 10 0.8× 3 0.3× 8 0.8× 10 92
K. Hinsberg 19 0.5× 7 0.3× 6 0.5× 4 0.3× 12 1.2× 18 74
Emmanuelle Charrin 53 1.5× 62 2.4× 9 0.7× 6 0.5× 30 3.0× 14 214
М. Н. Гусева 49 1.4× 9 0.3× 21 1.6× 5 0.4× 39 3.9× 12 80
Francesca Guidetti 22 0.6× 14 0.5× 3 0.2× 12 1.0× 6 0.6× 12 62
B Konopásek 25 0.7× 5 0.2× 21 1.6× 11 0.9× 19 1.9× 14 83
D. Leland Taylor 53 1.5× 6 0.2× 22 1.7× 17 1.4× 3 0.3× 9 95
Florian Buerger 49 1.4× 26 1.0× 15 1.2× 2 0.2× 4 0.4× 11 91

Countries citing papers authored by Samuela Landini

Since Specialization
Citations

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

Fields of papers citing papers by Samuela Landini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuela Landini

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