Emanuela Oldoni

483 citations
15 papers · 306 · h-index 9

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Bioinformatics and Genomic Networks 2
    • Gene Regulatory Network Analysis 2
    • Single-cell and spatial transcriptomics 1
    • Neuroinflammation and Neurodegeneration Mechanisms 4

Emanuela Oldoni

14 papers receiving 303 citations

Peers

Emanuela Oldoni
Comparison fields: 5 of 62
  • Neurology 107
  • Neurology 48
  • Genetics 49
  • Pathology and Forensic Medicine 82
  • Cancer Research 67
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Huanyu Meng China
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Yugong Feng China
Hannah E. Salapa Canada
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Seong‐Ik Kim South Korea
Lucie Tučková Czechia
Emanuela Oldoni relative to Huanyu Meng China Huanyu Meng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Emanuela Oldoni

Since Specialization
Citations

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

Fields of papers citing papers by Emanuela Oldoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201890
2 201840
3 201636
4 201631
5 202027
6 201825
7 201820
8 202212
9 20209
10 20226
11 20203
12 20203
13 20172
14 20182
15 20230

About Emanuela Oldoni

Emanuela Oldoni is a scholar working on Molecular Biology, Neurology, Physiology, Pathology and Forensic Medicine and Cancer Research, having authored 15 papers that have together received 306 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Multiple Sclerosis Research Studies (3 papers), MicroRNA in disease regulation (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene Regulatory Network Analysis (2 papers), Single-cell and spatial transcriptomics (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Neurology (107 citations), Neurology (48 citations), Genetics (49 citations), Pathology and Forensic Medicine (82 citations) and Cancer Research (67 citations). Emanuela Oldoni has collaborated with scholars based in Italy, Belgium and Netherlands. Frequent co-authors include Elio Scarpini, Daniela Galimberti, An Goris, Koen Poesen, Milena De Riz, Chiara Fenoglio, Anna M. Pietroboni, Alberto Calvi, Lieselot Dedeene and Maxim De Schaepdryver. Their work appears in journals such as Multiple Sclerosis Journal, Journal of Neuroimmunology, Biomarkers, Journal of Personalized Medicine and Annals of Neurology.

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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