Ebe D’Adamo

2.4k citations
44 papers · 1.8k · h-index 22

Impact in

Papers in

Ebe D’Adamo

43 papers receiving 1.7k citations

Peers

Ebe D’Adamo
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 798
  • Epidemiology 802
  • Physiology 448
  • Clinical Biochemistry 104
  • Pediatrics, Perinatology and Child Health 280
Replace Wei‐Chia Lee with:
Wei‐Chia Lee Taiwan
Pierre‐Henri Ducluzeau France
Tommaso de Giorgis Italy
Bridget Pierpont United States
Glenn R. Krakower United States
Yii‐Der Ida Chen United States
Stella P. Kim United States
Shuhei Nakanishi Japan
Pauli Karhapää Finland
An Verrijken Belgium
Ebe D’Adamo relative to Wei‐Chia Lee Taiwan Wei‐Chia Lee's profile →
Citations per field
00.5×1.5×1.8×
Wei‐Chia Lee · 1×
Citations per year

Countries citing papers authored by Ebe D’Adamo

Since Specialization
Citations

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

Fields of papers citing papers by Ebe D’Adamo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ebe D’Adamo. 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 Ebe D’Adamo. The network helps show where Ebe D’Adamo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011228
2 2010178
3 2010174
4 2015107
5 2010103
6 201797
7 200987
8 201279
9 201553
10 201050
11 202147
12 201046
13 201046
14 201045
15 200845
16 201343
17 201141
18 200935
19 201232
20 201028

About Ebe D’Adamo

Ebe D’Adamo is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Pediatrics, Perinatology and Child Health, Physiology and Molecular Biology, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (17 papers), Liver Disease Diagnosis and Treatment (11 papers), Birth, Development, and Health (7 papers), Diet and metabolism studies (7 papers), Metabolism, Diabetes, and Cancer (5 papers), Neonatal and fetal brain pathology (5 papers), Diabetes and associated disorders (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (798 citations), Epidemiology (802 citations), Physiology (448 citations), Clinical Biochemistry (104 citations) and Pediatrics, Perinatology and Child Health (280 citations). Ebe D’Adamo has collaborated with scholars based in Italy, United States and Israel. Frequent co-authors include Sonia Caprio, Nicola Santoro, Francesco Chiarelli, Bridget Pierpont, Cosimo Giannini, Angelika Mohn, Melissa Shaw, Anna M. G. Cali, Tommaso de Giorgis and Valentina Chiavaroli. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Diabetes Care, Nutrients, Diabetes and Antioxidants and Redox Signaling.

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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