Leonardo Nogara

66 total papers · 1.3k total citations
36 papers, 815 citations indexed

About

Leonardo Nogara is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Leonardo Nogara has authored 36 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Physiology and 10 papers in Cell Biology. Recurrent topics in Leonardo Nogara's work include Muscle Physiology and Disorders (22 papers), Adipose Tissue and Metabolism (9 papers) and Cardiomyopathy and Myosin Studies (7 papers). Leonardo Nogara is often cited by papers focused on Muscle Physiology and Disorders (22 papers), Adipose Tissue and Metabolism (9 papers) and Cardiomyopathy and Myosin Studies (7 papers). Leonardo Nogara collaborates with scholars based in Italy, Germany and United States. Leonardo Nogara's co-authors include Bert Blaauw, Martina Baraldo, Carlo Reggiani, Marta Murgia, Matthias Mann, Stefano Schiaffino, Stefano Ciciliot, Hendrik Nolte, Marco Sandri and Clara Türk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Leonardo Nogara

33 papers receiving 807 citations

Author Peers

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

Author Last Decade Papers Cites
Leonardo Nogara 563 267 202 95 89 36 815
F. Dworzak 395 0.7× 255 1.0× 199 1.0× 82 0.9× 78 0.9× 25 777
Timur Naim 757 1.3× 453 1.7× 172 0.9× 67 0.7× 69 0.8× 36 958
Kevin A. Voelker 605 1.1× 296 1.1× 161 0.8× 52 0.5× 79 0.9× 16 919
Alexis Díaz‐Vegas 505 0.9× 369 1.4× 93 0.5× 61 0.6× 44 0.5× 38 849
Thomas J. McLoughlin 586 1.0× 278 1.0× 208 1.0× 36 0.4× 67 0.8× 22 895
Emilie Passerieux 550 1.0× 177 0.7× 77 0.4× 49 0.5× 54 0.6× 22 838
Leticia Brotto 551 1.0× 213 0.8× 115 0.6× 89 0.9× 135 1.5× 37 850
C. van Hardeveld 492 0.9× 312 1.2× 158 0.8× 113 1.2× 152 1.7× 43 881
Olasunkanmi A. J. Adegoke 480 0.9× 337 1.3× 221 1.1× 60 0.6× 58 0.7× 31 785
Bernadette Pignol 290 0.5× 148 0.6× 101 0.5× 77 0.8× 48 0.5× 35 738

Countries citing papers authored by Leonardo Nogara

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Nogara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Nogara

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