Marco Linari

4.9k citations
94 papers · 3.8k · h-index 37

Impact in

Papers in

Marco Linari

94 papers receiving 3.8k citations

Peers

Marco Linari
Comparison fields: 5 of 116
  • Cardiology and Cardiovascular Medicine 2.9k
  • Cell Biology 585
  • Molecular Biology 2.2k
  • Atomic and Molecular Physics, and Optics 854
  • Biomedical Engineering 1.1k
Replace Gabriella Piazzesi with:
Gabriella Piazzesi Italy
Vincenzo Lombardi Italy
Michael A. Ferenczi United Kingdom
Malcolm Irving United Kingdom
Bernhard Brenner Germany
Massimo Reconditi Italy
Earl Homsher United States
D. Labeit Germany
P. Bryant Chase United States
Henk Granzier United States
Marco Linari relative to Gabriella Piazzesi Italy Gabriella Piazzesi's profile →
Citations per field
00.5×1.5×
Gabriella Piazzesi · 1×
Citations per year

Countries citing papers authored by Marco Linari

Since Specialization
Citations

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

Fields of papers citing papers by Marco Linari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marco Linari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marco Linari Line = papers co-authored together Marco Linari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007240
2 2015227
3 1992162
4 2004155
5 1998148
6 2007134
7 1998131
8 2002114
9 2017105
10 1999105
11 201097
12 200095
13 200394
14 199283
15 200082
16 200781
17 199981
18 200378
19 200376
20 200470

About Marco Linari

Marco Linari is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Cell Biology, having authored 94 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (71 papers), Muscle Physiology and Disorders (57 papers), Cardiovascular Effects of Exercise (33 papers), Muscle activation and electromyography studies (21 papers), Force Microscopy Techniques and Applications (11 papers), Sports injuries and prevention (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Cellular Mechanics and Interactions (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.9k citations), Cell Biology (585 citations), Molecular Biology (2.2k citations), Atomic and Molecular Physics, and Optics (854 citations) and Biomedical Engineering (1.1k citations). Marco Linari has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Vincenzo Lombardi, Gabriella Piazzesi, Massimo Reconditi, Malcolm Irving, Marco Caremani, Theyencheri Narayanan, Elisabetta Brunello, L Lucii, Natalia A. Koubassova and Luca Fusi. Their work appears in journals such as The Journal of Physiology, Biophysical Journal, Proceedings of the National Academy of Sciences, Nature and The Journal of General Physiology.

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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