Debora Donnini

865 citations
23 papers · 720 indexed · h-index 11

Impact in

Papers in

Debora Donnini

22 papers receiving 695 citations

Peers

Debora Donnini
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 233
  • Epidemiology 416
  • Hepatology 67
  • Biochemistry 56
  • Cardiology and Cardiovascular Medicine 176
Replace Hironori Kitade with:
Hironori Kitade Japan
Janne Makkonen Finland
Elena Larrieta‐Carrasco Mexico
Mandeep Bajaj India
Xabier Buqué Spain
Song Lu China
Javier Vargas‐Castrillón Spain
Rocío Gallego‐Durán Spain
C. Rychlicki Italy
Jenny Palming Sweden
Debora Donnini relative to Hironori Kitade Japan Hironori Kitade's profile →
Citations per field
00.5×1.5×2.2×
Hironori Kitade · 1×
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-authorship network

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
#Work
1 20234
2 20228
3 20206
4 201917
5 20190
6 201149
7 20103
8 200814
9 200617
10 20061
11 2006163
12 200541
13 2005208
14 20034
15 200350
16 20027
17 200120
18 200026
19 20008
20 199662

About Debora Donnini

Debora Donnini is a scholar working on Biochemistry, Hepatology, Toxicology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 23 papers that have together received 720 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Nitric Oxide and Endothelin Effects (4 papers), Diet, Metabolism, and Disease (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Alcohol Consumption and Health Effects (3 papers), Hepatitis C virus research (3 papers), Adipose Tissue and Metabolism (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (233 citations), Epidemiology (416 citations), Hepatology (67 citations), Biochemistry (56 citations) and Cardiology and Cardiovascular Medicine (176 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, Roberto Vettor, Giovanni Federspil, Walter Esposito, Francesco Fallo and Cristiana Catena. Their work appears in journals such as Thyroid, Journal of Hypertension, Biochimie, Digestive and Liver Disease 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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