Debora Donnini

870 citations
23 papers · 722 · h-index 11

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 2
    • Redox biology and oxidative stress 2
    • DNA Repair Mechanisms 1
    • Liver Disease Diagnosis and Treatment 4
    • Adipokines, Inflammation, and Metabolic Diseases 2

Debora Donnini

22 papers receiving 697 citations

Peers

Debora Donnini
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 185
  • Epidemiology 359
  • Hepatology 51
  • Biochemistry 46
  • Cardiology and Cardiovascular Medicine 113
Replace Hironori Kitade with:
Hironori Kitade Japan
Janne Makkonen Finland
Kalliopi Pafili Greece
Christian von Loeffelholz Germany
Feruze Yılmaz Enç Türkiye
Xabier Buqué Spain
Ludmila Kazdová Czechia
Elena Larrieta‐Carrasco Mexico
Mandeep Bajaj United States
Bojan Jorgačević Serbia
Debora Donnini relative to Hironori Kitade Japan Hironori Kitade's profile →
Citations per field
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Citations per year

Countries citing papers authored by Debora Donnini

Since Specialization
Citations

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

Fields of papers citing papers by Debora Donnini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005207
2 2006162
3 199662
4 200350
5 201149
6 200542
7 200026
8 200120
9 201918
10 200617
11 200814
12 20229
13 20038
14 20008
15 20207
16 20027
17 20234
18 20034
19 20103
20 20123

About Debora Donnini

Debora Donnini is a scholar working on Molecular Biology, Epidemiology, Pathology and Forensic Medicine, Physiology and Hepatology, having authored 23 papers that have together received 722 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Hepatitis C virus research (3 papers), Alcohol Consumption and Health Effects (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Redox biology and oxidative stress (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (185 citations), Epidemiology (359 citations), Hepatology (51 citations), Biochemistry (46 citations) and Cardiology and Cardiovascular Medicine (113 citations). Debora Donnini has collaborated with scholars based in Italy, Türkiye and United States. Frequent co-authors include Giorgio Soardo, Leonardo A. Sechi, Francesco Curcio, Claudio Pagano, Francesco Saverio Ambesi‐Impiombato, Giovanni Federspil, Roberto Vettor, Walter Esposito, Francesco Fallo and Cristiana Catena. Their work appears in journals such as Biochimie, Thyroid, Journal of Hypertension, Biochemical and Biophysical Research Communications and Journal of Hepatology.

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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