Davide Lecca

3.7k citations
56 papers · 2.3k · h-index 27

Impact in

Papers in

    • Receptor Mechanisms and Signaling 9
    • RNA Interference and Gene Delivery 7
    • Adenosine and Purinergic Signaling 20

Davide Lecca

56 papers receiving 2.2k citations

Peers

Davide Lecca
Comparison fields: 5 of 100
  • Developmental Neuroscience 531
  • Physiology 486
  • Neurology 486
  • Cellular and Molecular Neuroscience 457
  • Cancer Research 227
Replace Mara D’Onofrio with:
Mara D’Onofrio Italy
Amaia M. Arranz Spain
Santiago Ambrosio Spain
Tadashi Kurihara Japan
Paul Polak United States
Margrit Hollborn Germany
Tatyana I. Gudz United States
Shin Hisahara Japan
Eva M. Jiménez‐Mateos Ireland
Michio Niinobe Japan
Davide Lecca relative to Mara D’Onofrio Italy Mara D’Onofrio's profile →
Citations per field
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Citations per year

Countries citing papers authored by Davide Lecca

Since Specialization
Citations

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

Fields of papers citing papers by Davide Lecca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006369
2 2008189
3 2011151
4 2004105
5 201795
6 200881
7 201476
8 201570
9 201362
10 201060
11 201660
12 202051
13 201549
14 200948
15 202045
16 202144
17 201843
18 201940
19 201040
20 201840

About Davide Lecca

Davide Lecca is a scholar working on Molecular Biology, Physiology, Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 56 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (20 papers), Adenosine and Purinergic Signaling (20 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Neuropeptides and Animal Physiology (11 papers), MicroRNA in disease regulation (10 papers), Receptor Mechanisms and Signaling (9 papers), Genetics and Neurodevelopmental Disorders (8 papers) and RNA Interference and Gene Delivery (7 papers). The work is most often cited by research in Developmental Neuroscience (531 citations), Physiology (486 citations), Neurology (486 citations), Cellular and Molecular Neuroscience (457 citations) and Cancer Research (227 citations). Davide Lecca has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Maria P. Abbracchio, Marta Fumagalli, Stefania Ceruti, Claudia Martini, Maria Letizia Trincavelli, Davide Marangon, Patrizia Rosa, Claudia Verderio, Paolo Ciana and Chiara Parravicini. Their work appears in journals such as Glia, Biochemical Pharmacology, Cellular and Molecular Neurobiology, Frontiers in Cellular Neuroscience and Cells.

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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