Mario Ledda

1.1k citations
44 papers · 867 indexed · h-index 17

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

43 papers receiving 808 citations

Peers

Mario Ledda
Comparison fields: 5 of 106
  • Biophysics 329
  • Physiology 105
  • Physiology 305
  • Biomaterials 96
  • Cellular and Molecular Neuroscience 88
Replace Enrico D’Emilia with:
Enrico D’Emilia Italy
María Ángeles Trillo Spain
Nurdan Özkucur Germany
Emanuela Jacchetti Italy
Simona Rodighiero Italy
Scott R. Burks United States
Lisa Gherardini Italy
Devrim Kilinc Ireland
Wei‐Li Kuan United Kingdom
Pingbo Huang Hong Kong
Mario Ledda relative to Enrico D’Emilia Italy Enrico D’Emilia's profile →
Citations per field
00.5×6.8×
Enrico D’Emilia · 1×
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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200993
2 200660
3 201354
4 200446
5 200245
6 201743
7 202037
8 200536
9 200836
10 201233
11 200632
12 200928
13 201425
14 200821
15 201220
16 201820
17 200417
18 201316
19 201416
20 202116

About Mario Ledda

Mario Ledda is a scholar working on Biophysics, Molecular Biology, Biomedical Engineering, Physiology and Surgery, having authored 44 papers that have together received 867 indexed citations. Recurring topics across this work include Electromagnetic Fields and Biological Effects (15 papers), Biofield Effects and Biophysics (9 papers), Tissue Engineering and Regenerative Medicine (6 papers), Magnetic and Electromagnetic Effects (6 papers), Photoreceptor and optogenetics research (6 papers), Bone Tissue Engineering Materials (5 papers), Spaceflight effects on biology (4 papers) and Planarian Biology and Electrostimulation (4 papers). The work is most often cited by research in Biophysics (329 citations), Physiology (105 citations), Physiology (305 citations), Biomaterials (96 citations) and Cellular and Molecular Neuroscience (88 citations). Mario Ledda has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Antonella Lisi, Settimio Grimaldi, Alberto Foletti, Livio Giuliani, Enrico D’Emilia, Flavia De Carlo, A. R. Liboff, Deleana Pozzi, Rodolfo Marchese and S. Rieti. Their work appears in journals such as Scientific Reports, Bioelectromagnetics, International Journal of Molecular Sciences, The Journal of Alternative and Complementary Medicine 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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