Lorenzo Da Dalt

93 total papers · 1.1k total citations
30 papers, 692 citations indexed

About

Lorenzo Da Dalt is a scholar working on Surgery, Immunology and Molecular Biology. According to data from OpenAlex, Lorenzo Da Dalt has authored 30 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 11 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in Lorenzo Da Dalt's work include Lipoproteins and Cardiovascular Health (7 papers), Atherosclerosis and Cardiovascular Diseases (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). Lorenzo Da Dalt is often cited by papers focused on Lipoproteins and Cardiovascular Health (7 papers), Atherosclerosis and Cardiovascular Diseases (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). Lorenzo Da Dalt collaborates with scholars based in Italy, France and China. Lorenzo Da Dalt's co-authors include Giuseppe Danilo Norata, Alberico L. Catapano, Fabrizia Bonacina, Carla Perego, Ira J. Goldberg, Ainara G. Cabodevilla, Patrizia Uboldi, Andrea Baragetti, Fabio Pellegatta and A. Galli and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lorenzo Da Dalt

27 papers receiving 689 citations

Hit Papers

Cardiac lipid metabolism,... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Lorenzo Da Dalt 292 216 134 134 126 30 692
Cristina Barale 281 1.0× 139 0.6× 130 1.0× 143 1.1× 212 1.7× 32 715
Chiara Ricci 425 1.5× 187 0.9× 91 0.7× 179 1.3× 61 0.5× 18 746
Yanzhao Zhou 162 0.6× 189 0.9× 61 0.5× 169 1.3× 116 0.9× 35 593
Mathieu R. Brodeur 238 0.8× 193 0.9× 123 0.9× 54 0.4× 100 0.8× 27 575
Harald Torsvik 330 1.1× 141 0.7× 170 1.3× 77 0.6× 68 0.5× 29 604
Annika Asplund 347 1.2× 215 1.0× 201 1.5× 73 0.5× 93 0.7× 18 740
Agnese Filippello 237 0.8× 212 1.0× 266 2.0× 54 0.4× 111 0.9× 40 722
Guannan Li 254 0.9× 170 0.8× 76 0.6× 67 0.5× 187 1.5× 27 642
Junichiro Tohyama 381 1.3× 238 1.1× 245 1.8× 145 1.1× 118 0.9× 17 789
C B Marenah 289 1.0× 123 0.6× 167 1.2× 37 0.3× 76 0.6× 30 669

Countries citing papers authored by Lorenzo Da Dalt

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Da Dalt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lorenzo Da Dalt. 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 Lorenzo Da Dalt. The network helps show where Lorenzo Da Dalt may publish in the future.

Co-authorship network of co-authors of Lorenzo Da Dalt

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Da Dalt. A scholar is included among the top collaborators of Lorenzo Da Dalt 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 Lorenzo Da Dalt. Lorenzo Da Dalt 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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