Mara Giordano
- Molecular Biology
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Immunology top 10%
- Cancer Research
- Co-authors
- Patricia Momigliano‐RichiardiSandra D’AlfonsoGianni BonaSimona MelloneMarta MellaiP. RichiardiSimonetta BelloneFlavia Prodam
- Topics
- Growth Hormone and Insulin-like Growth Factors (21 papers)Genetic Syndromes and Imprinting (10 papers)Genetics and Neurodevelopmental Disorders (8 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Mara Giordano
78 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 503
- Genetics 371
- Endocrinology, Diabetes and Metabolism 321
- Immunology 230
- Cancer Research 118
Countries citing papers authored by Mara Giordano
This map shows the geographic impact of Mara Giordano'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 Mara Giordano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mara Giordano more than expected).
Fields of papers citing papers by Mara Giordano
This network shows the impact of papers produced by Mara Giordano. 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 Mara Giordano. The network helps show where Mara Giordano may publish in the future.
Co-authorship network of co-authors of Mara Giordano
This figure shows the co-authorship network connecting the top 25 collaborators of Mara Giordano. A scholar is included among the top collaborators of Mara Giordano 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 Mara Giordano. Mara Giordano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 23 | |
| 3 | 12 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | Cardiovascular Risk Profile of Patients Hospitalized for Myocardial Infarction is Undestimated by Traditional Risk Factors and is Better Estimated by a Genetic Analysis Based Upon Single Nucleotide Polymorphisms: A Retrospective Study | 0 |
| 7 | 8 | |
| 8 | 60 | |
| 9 | 9 | |
| 10 | 15 | |
| 11 | 14 | |
| 12 | 11 | |
| 13 | 24 | |
| 14 | 60 | |
| 15 | 29 | |
| 16 | 11 | |
| 17 | 30 | |
| 18 | 6 | |
| 19 | 5 | |
| 20 | 6 |
About Mara Giordano
Mara Giordano is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Gastroenterology, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (21 papers), Genetic Syndromes and Imprinting (10 papers) and Genetics and Neurodevelopmental Disorders (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (321 citations), Genetics (371 citations) and Immunology (230 citations). Mara Giordano has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Patricia Momigliano‐Richiardi, Sandra D’Alfonso, Gianni Bona, Simona Mellone, Marta Mellai, P. Richiardi, Simonetta Bellone, Flavia Prodam, Umberto Dianzani and Antonella Petri. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.
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.