M. Ledda

1.1k citations
41 papers · 804 · h-index 15

Impact in

Papers in

M. Ledda

39 papers receiving 781 citations

Peers

M. Ledda
Comparison fields: 5 of 74
  • Developmental Neuroscience 209
  • Cellular and Molecular Neuroscience 442
  • Neurology 111
  • Physiology 320
  • Physiology 35
Replace Barbara Rychlik with:
Barbara Rychlik United States
Georgia Woods United States
Evelyne Ruchti Switzerland
David González‐Forero Spain
Oliver Bracko United States
Yuriko Iwakura Japan
Ailing A. Lie Germany
Tatsuro Kumada Japan
Ronald M. Lindsay United States
Anna Östberg United Kingdom
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Citations per field
00.5×10×15.5×
Barbara Rychlik · 1×
Citations per year

Countries citing papers authored by M. Ledda

Since Specialization
Citations

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

Fields of papers citing papers by M. Ledda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside M. 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 M. Ledda Line = papers co-authored together M. Ledda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002175
2 200396
3 200946
4 199143
5
Ribosomes in myelinated axons of the rabbit spinal ganglion neurons.
199139
6 200432
7 200532
8 198425
9 199620
10 200619
11 198419
12 199017
13 198817
14 198615
15
Amount and distribution of lipofuscin in nerve and satellite cells from spinal ganglia of young adult and aged rabbits.
199915
16 199014
17 198214
18 200013
19 200512
20 200611

About M. Ledda

M. Ledda is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Developmental Neuroscience and Physiology, having authored 41 papers that have together received 804 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Nerve injury and regeneration (9 papers), Mitochondrial Function and Pathology (8 papers), Microtubule and mitosis dynamics (4 papers), Pain Mechanisms and Treatments (4 papers), Cellular Mechanics and Interactions (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Developmental Neuroscience (209 citations), Cellular and Molecular Neuroscience (442 citations), Neurology (111 citations), Physiology (320 citations) and Physiology (35 citations). M. Ledda has collaborated with scholars based in Italy, United States and Israel. Frequent co-authors include Ennio Pannese, Menachem Hanani, P. Cherkas, P. Procacci, L Rigamonti, Carla Martinelli, Patrizia Sartori, Vincenzo Conte, Eyal Blum and Satoru Matsuda. Their work appears in journals such as Neuroscience, Journal of Neurocytology, Cell and Tissue Research, Tissue and Cell and Cells Tissues Organs.

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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