Daniele Lodi

13 total papers · 440 total citations
10 papers, 330 citations indexed

About

Daniele Lodi is a scholar working on Molecular Biology, Rheumatology and Genetics. According to data from OpenAlex, Daniele Lodi has authored 10 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Rheumatology and 3 papers in Genetics. Recurrent topics in Daniele Lodi's work include Osteoarthritis Treatment and Mechanisms (3 papers), Renal and related cancers (2 papers) and Genetic and Kidney Cyst Diseases (2 papers). Daniele Lodi is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (3 papers), Renal and related cancers (2 papers) and Genetic and Kidney Cyst Diseases (2 papers). Daniele Lodi collaborates with scholars based in Italy, United Kingdom and United States. Daniele Lodi's co-authors include Beniamino Palmieri, Tommaso Iannitti, Jacques P. Tremblay, Stefania Capone, Bruno Frediani, Gianni Cappelli, Riccardo Magistroni, Andrea Sacchetti, Giulia Ligabue and Marco Maioli and has published in prestigious journals such as Journal of Experimental & Clinical Cancer Research, Blood Coagulation & Fibrinolysis and American Journal of Therapeutics.

In The Last Decade

Daniele Lodi

10 papers receiving 317 citations

Author Peers

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

Author Last Decade Papers Cites
Daniele Lodi 121 109 102 72 41 10 330
Julia Lorenz 111 0.9× 156 1.4× 51 0.5× 59 0.8× 40 1.0× 13 327
Yi-Shan Lin 80 0.7× 131 1.2× 64 0.6× 49 0.7× 22 0.5× 15 347
Rui Geng 106 0.9× 87 0.8× 65 0.6× 36 0.5× 20 0.5× 15 321
Helga Joos 55 0.5× 209 1.9× 101 1.0× 39 0.5× 50 1.2× 14 324
Tyler Pizzute 123 1.0× 148 1.4× 81 0.8× 94 1.3× 27 0.7× 7 335
Deborah Studer 147 1.2× 155 1.4× 67 0.7× 53 0.7× 13 0.3× 11 354
Liecong Lin 148 1.2× 115 1.1× 72 0.7× 78 1.1× 40 1.0× 9 324
Christopher R. Fellows 75 0.6× 178 1.6× 93 0.9× 104 1.4× 15 0.4× 11 341
J. M. Seid 103 0.9× 101 0.9× 53 0.5× 23 0.3× 39 1.0× 13 335
Chunhui Zhu 132 1.1× 74 0.7× 39 0.4× 49 0.7× 23 0.6× 18 339

Countries citing papers authored by Daniele Lodi

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Lodi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Lodi

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