Deborah Ramini

1.1k citations
29 papers · 731 · h-index 16

Impact in

  • Aging top 10%
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • MicroRNA in disease regulation 6
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
    • IL-33, ST2, and ILC Pathways 2

Deborah Ramini

28 papers receiving 722 citations

Peers

Deborah Ramini
Comparison fields: 5 of 86
  • Aging 26
  • Cancer Research 146
  • Obstetrics and Gynecology 42
  • Geriatrics and Gerontology 19
  • Neurology 45
Replace Laura A. Villalobos with:
Laura A. Villalobos Spain
Kathryn M. Spitler United States
Stepan B. Melnyk United States
Maria Mavilio Italy
Ri Wen China
Amy Cameron United Kingdom
Kristina Sonnenschein Germany
Amy Pan United States
Nadezda V. Andrianova Russia
Lorenzo Previato Italy
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Citations per field
00.5×2×3×4.0×
Laura A. Villalobos · 1×
Citations per year

Countries citing papers authored by Deborah Ramini

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Ramini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020156
2 201962
3 202253
4 202051
5 202349
6 202048
7 202327
8 201925
9 202225
10 202223
11 202322
12 202321
13 202120
14 202419
15 202118
16 202016
17 202214
18 202213
19 202213
20 202210

About Deborah Ramini

Deborah Ramini is a scholar working on Cancer Research, Immunology, Physiology, Infectious Diseases and Clinical Biochemistry, having authored 29 papers that have together received 731 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), COVID-19 Clinical Research Studies (4 papers), Telomeres, Telomerase, and Senescence (4 papers), Epigenetics and DNA Methylation (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Lipid metabolism and disorders (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Aging (26 citations), Cancer Research (146 citations), Obstetrics and Gynecology (42 citations), Geriatrics and Gerontology (19 citations) and Neurology (45 citations). Deborah Ramini has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Fabiola Olivieri, Angelica Giuliani, Jacopo Sabbatinelli, Massimiliano Bonafè, Giulia Matacchione, Anna Rita Bonfigli, Emanuela Mensa’, Maria Rita Rippo, Antonio Domenico Procopio and Gianluca Storci. Their work appears in journals such as Mechanisms of Ageing and Development, Cardiovascular Diabetology, Antioxidants, Cells and International Journal of Molecular Sciences.

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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