Paula Scaglia
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Clinical Biochemistry top 10%
- Co-authors
- Horacio M. DomenéHéctor JasperMaría Gabriela RopelatoJuan J. HeinrichAlicia S. MartínezSonia V. BengoleaP. PennisiMarı́a Gabriela Ballerini
- Topics
- Growth Hormone and Insulin-like Growth Factors (19 papers)Genetic Syndromes and Imprinting (10 papers)Metabolism and Genetic Disorders (5 papers)
- Journals
- New England Journal of MedicineThe Journal of Clinical Endocrinology & MetabolismHuman Molecular Genetics
- Partner nations
- ArgentinaUnited StatesDenmark
In The Last Decade
Paula Scaglia
26 papers receiving 461 citations
Peers
Comparison fields: 5 of 47
- Endocrinology, Diabetes and Metabolism 378
- Genetics 236
- Molecular Biology 162
- Cardiology and Cardiovascular Medicine 71
- Clinical Biochemistry 43
Countries citing papers authored by Paula Scaglia
This map shows the geographic impact of Paula Scaglia'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 Paula Scaglia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Scaglia more than expected).
Fields of papers citing papers by Paula Scaglia
This network shows the impact of papers produced by Paula Scaglia. 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 Paula Scaglia. The network helps show where Paula Scaglia may publish in the future.
Co-authorship network of co-authors of Paula Scaglia
This figure shows the co-authorship network connecting the top 25 collaborators of Paula Scaglia. A scholar is included among the top collaborators of Paula Scaglia 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 Paula Scaglia. Paula Scaglia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | Recurrent IGFALS Gene Mutations p.E35Gfs*17 and p.(L409F; A475V): Hot Spot or Founder Effect? | 1 |
| 12 | ALS Deficiency due to a Novel and Two Already Described IGFALS Gene Mutations in an Unusual Non Consanguineous Family: Two Compound Heterozygous (Father and Son) and Two Heterozygous Carriers (Brother and Mother) | 1 |
| 13 | 36 | |
| 14 | 9 | |
| 15 | 34 | |
| 16 | 3 | |
| 17 | 15 | |
| 18 | 36 | |
| 19 | 26 | |
| 20 | Atrial natriuretic factor in two kidney--two clip renovascular hypertension in the rat. | 7 |
About Paula Scaglia
Paula Scaglia is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Genetics, having authored 27 papers that have together received 471 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (19 papers), Genetic Syndromes and Imprinting (10 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (378 citations), Genetics (236 citations) and Clinical Biochemistry (43 citations). Paula Scaglia has collaborated with scholars based in Argentina, United States and Denmark. Frequent co-authors include Horacio M. Domené, Héctor Jasper, María Gabriela Ropelato, Juan J. Heinrich, Alicia S. Martínez, Sonia V. Bengolea, P. Pennisi, Marı́a Gabriela Ballerini, Mariana Gutiérrez and Jan Frystyk. Their work appears in journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Human Molecular Genetics.
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.