Daniela Lapa
Impact in
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- Thyroid Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Thyroid Cancer Diagnosis and Treatment
- Pituitary Gland Disorders and Treatments
Papers in
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- Thyroid Disorders and Treatments 5
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- Mitochondrial Function and Pathology 2
- Ion channel regulation and function 1
- Hedgehog Signaling Pathway Studies 1
- Protein Kinase Regulation and GTPase Signaling 1
- Co-authors
- Salvatore Benvenga (9 shared papers)Francesco Trimarchi (7 shared papers)Roberto Vita (3 shared papers)L. Bartolone (2 shared papers)Grazia Giorgianni (1 shared paper)Francesco Trimarchi (1 shared paper)Giovanna Saraceno (1 shared paper)Giuseppe Vita (2 shared papers)
In The Last Decade
Daniela Lapa
10 papers receiving 326 citations
Peers
Comparison fields: 5 of 66
- Endocrinology, Diabetes and Metabolism 233
- Developmental Biology 12
- Clinical Biochemistry 21
- Genetics 72
- Endocrine and Autonomic Systems 14
Countries citing papers authored by Daniela Lapa
This map shows the geographic impact of Daniela Lapa'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 Daniela Lapa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Lapa more than expected).
Fields of papers citing papers by Daniela Lapa
This network shows the impact of papers produced by Daniela Lapa. 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 Daniela Lapa. The network helps show where Daniela Lapa may publish in the future.
Co-authors
The 18 scholars most cited alongside Daniela Lapa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 134 | |
| 2 | 2014 | 45 | |
| 3 | 2001 | 40 | |
| 4 | 2016 | 35 | |
| 5 | 2004 | 29 | |
| 6 | 2008 | 26 | |
| 7 | 2002 | 16 | |
| 8 | 2002 | 15 | |
| 9 | 2001 | 7 | |
| 10 | 2006 | 5 |
About Daniela Lapa
Daniela Lapa is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Genetics and Surgery, having authored 10 papers that have together received 352 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (5 papers), Mitochondrial Function and Pathology (2 papers), Metabolism and Genetic Disorders (1 paper), Ion channel regulation and function (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Tea Polyphenols and Effects (1 paper), Hedgehog Signaling Pathway Studies (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (233 citations), Developmental Biology (12 citations), Clinical Biochemistry (21 citations), Genetics (72 citations) and Endocrine and Autonomic Systems (14 citations). Daniela Lapa has collaborated with scholars based in Italy and Brazil. Frequent co-authors include Salvatore Benvenga, Francesco Trimarchi, Roberto Vita, L. Bartolone, Grazia Giorgianni, Francesco Trimarchi, Giovanna Saraceno, Giuseppe Vita, Alfredo Campennì and Rosaria Maddalena Ruggeri. Their work appears in journals such as Annals of the New York Academy of Sciences, The American Journal of Medicine, Thyroid, The Journal of Clinical Endocrinology & Metabolism and Journal of Endocrinological Investigation.
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.