Monica D’Adamo

1.7k total citations
40 papers, 1.2k citations indexed

About

Monica D’Adamo is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Monica D’Adamo has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Physiology and 11 papers in Epidemiology. Recurrent topics in Monica D’Adamo's work include Metabolism, Diabetes, and Cancer (11 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Adipose Tissue and Metabolism (7 papers). Monica D’Adamo is often cited by papers focused on Metabolism, Diabetes, and Cancer (11 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Adipose Tissue and Metabolism (7 papers). Monica D’Adamo collaborates with scholars based in Italy, United States and Brazil. Monica D’Adamo's co-authors include Paolo Sbraccia, Massimo Federici, Davide Lauro, Valeria Guglielmi, Alfonso Bellia, Renato Lauro, Paolo Gentileschi, Mauro Lombardo, Marina Cardellini and Giorgio Sesti and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Monica D’Adamo

39 papers receiving 1.2k citations

Peers

Monica D’Adamo
Comparison fields: 5 of 88
  • Physiology 508
  • Molecular Biology 373
  • Epidemiology 310
  • Surgery 244
  • Cardiology and Cardiovascular Medicine 186
Replace Stefan Kriwanek with:
Stefan Kriwanek Austria
Anna Grandone Italy
Alev Hasanoğlu Türkiye
Eleonora Santini Italy
Marie S. Thearle United States
Hyeong Kyu Park South Korea
Gary P. Van Guilder United States
J Alaghband-Zadeh United Kingdom
Joanna Janowska Poland
Suwannee Chanprasertyothin Thailand
Stefan Kriwanek Austria View profile →
Citations per field, relative to Monica D’Adamo
Monica D’Adamo · 1×
Citations per year, relative to Monica D’Adamo
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Countries citing papers authored by Monica D’Adamo

Since Specialization
Citations

This map shows the geographic impact of Monica 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 Monica 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 Monica D’Adamo more than expected).

Fields of papers citing papers by Monica D’Adamo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica D’Adamo

This figure shows the co-authorship network connecting the top 25 collaborators of Monica D’Adamo. A scholar is included among the top collaborators of Monica D’Adamo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Monica D’Adamo. Monica D’Adamo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 4
3 27
4 30
5 12
6 16
7 30
8 11
9 10
10 36
11 92
12 24
13 47
14 18
15 166
16 16
17 47
18 19
19 14
20 84

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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