Edoardo Marcora

4.5k citations
34 papers · 1.7k · 1 hit paper · h-index 19

Impact in

Papers in

    • Epigenetics and DNA Methylation 4
    • Mitochondrial Function and Pathology 3
    • Bioinformatics and Genomic Networks 3
    • Neuroinflammation and Neurodegeneration Mechanisms 10

Edoardo Marcora

29 papers receiving 1.6k citations

Edoardo Marcora's Hit Papers

The complex genetic architecture of Alzheimer's disease: novel insights and future directions 2023 · 186 citations
1860+1+2Years since publication50100150

Peers

Edoardo Marcora
Comparison fields: 5 of 107
  • Neurology 384
  • Biological Psychiatry 76
  • Developmental Neuroscience 64
  • Physiology 353
  • Cellular and Molecular Neuroscience 265
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Citations per year

Countries citing papers authored by Edoardo Marcora

Since Specialization
Citations

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

Fields of papers citing papers by Edoardo Marcora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The complex genetic architecture of Alzheimer's disease: novel insights and future directions
Hit paper breakdown →
2023186
2 2021134
3 2021133
4 2020132
5
Architectures for an Event Notification Service Scalable to Wide-area Networks
2000132
6 2008109
7 2018106
8 202093
9 199985
10 201076
11 200375
12 202068
13 200558
14 199456
15 202251
16 202242
17 201927
18 202124
19 201820
20 201414

About Edoardo Marcora

Edoardo Marcora is a scholar working on Molecular Biology, Neurology, Physiology, Genetics and Immunology, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Alzheimer's disease research and treatments (8 papers), Immune cells in cancer (6 papers), Epigenetics and DNA Methylation (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Mitochondrial Function and Pathology (3 papers), Bioinformatics and Genomic Networks (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Neurology (384 citations), Biological Psychiatry (76 citations), Developmental Neuroscience (64 citations), Physiology (353 citations) and Cellular and Molecular Neuroscience (265 citations). Edoardo Marcora has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Alison Goate, Shea J. Andrews, Anna Podlesny‐Drabiniok, Mary B. Kennedy, Brian Fulton‐Howard, Alan E. Renton, Jacqueline E. Lee, Holly J. Carlisle, Pasquale Manzerra and Katherine Gowan. Their work appears in journals such as Alzheimer s & Dementia, Neurobiology of Disease, Nature Communications, Bioinformatics and Human Molecular Genetics.

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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