Mario Ledda

1.2k citations
46 papers · 978 · h-index 19

Impact in

  • Biophysics top 1%
    • Electromagnetic Fields and Biological Effects
    • Chemical and Physical Studies
  • Physiology top 5%
    • Biofield Effects and Biophysics
    • Spaceflight effects on biology
    • Magnetic and Electromagnetic Effects

Papers in

Mario Ledda

46 papers receiving 918 citations

Peers

Mario Ledda
Comparison fields: 5 of 108
  • Biophysics 340
  • Physiology 102
  • Physiology 282
  • Biomaterials 100
  • Cellular and Molecular Neuroscience 84
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Leiting Pan China
Alice Gualerzi Italy
Nurdan Özkucur Germany
Lisa Gherardini Italy
Takuya Kishimoto Japan
Yabing Gao China
Francesca Cialdai Italy
Lifeng Zhang China
Deborah K. Lieu United States
Rémi Peyronnet Germany
Mario Ledda relative to Leiting Pan China Leiting Pan's profile →
Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Mario Ledda

Since Specialization
Citations

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

Fields of papers citing papers by Mario Ledda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mario Ledda, 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 Mario Ledda Line = papers co-authored together Mario Ledda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009101
2 200660
3 201352
4 200447
5 201747
6 200246
7 201241
8 202039
9 200837
10 200536
11 201236
12 201235
13 200633
14 200930
15 201426
16 200822
17 201821
18 201220
19 200418
20 202117

About Mario Ledda

Mario Ledda is a scholar working on Biophysics, Molecular Biology, Physiology, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 978 indexed citations. Recurring topics across this work include Electromagnetic Fields and Biological Effects (15 papers), Biofield Effects and Biophysics (8 papers), Magnetic and Electromagnetic Effects (6 papers), Bone Tissue Engineering Materials (5 papers), Planarian Biology and Electrostimulation (4 papers), Spaceflight effects on biology (4 papers), Photoreceptor and optogenetics research (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Biophysics (340 citations), Physiology (102 citations), Physiology (282 citations), Biomaterials (100 citations) and Cellular and Molecular Neuroscience (84 citations). Mario Ledda has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Antonella Lisi, Settimio Grimaldi, Alberto Foletti, Livio Giuliani, Enrico D’Emilia, Flavia De Carlo, Deleana Pozzi, A. R. Liboff, Rodolfo Marchese and Luca Saba. Their work appears in journals such as Bioelectromagnetics, The Journal of Alternative and Complementary Medicine, Scientific Reports, International Journal of Molecular Sciences and PLoS ONE.

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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