Graciela Dı́az-Torga
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Genetics top 10%
- Reproductive Medicine top 5%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Damasia Becú‐VillalobosCarlos LibertunI.M. Lacau-MengidoMalcolm J. LowMarcelo RubinsteinC. LibertunCarolina CristinaM. Victoria Recouvreux
- Topics
- Growth Hormone and Insulin-like Growth Factors (28 papers)Pituitary Gland Disorders and Treatments (26 papers)Hypothalamic control of reproductive hormones (10 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismBehavioral NeuroscienceEndocrine and Autonomic Systems
- Partner nations
- ArgentinaUnited StatesSpain
In The Last Decade
Graciela Dı́az-Torga
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Endocrinology, Diabetes and Metabolism 505
- Molecular Biology 353
- Genetics 187
- Reproductive Medicine 144
- Endocrine and Autonomic Systems 123
Countries citing papers authored by Graciela Dı́az-Torga
This map shows the geographic impact of Graciela Dı́az-Torga'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 Graciela Dı́az-Torga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graciela Dı́az-Torga more than expected).
Fields of papers citing papers by Graciela Dı́az-Torga
This network shows the impact of papers produced by Graciela Dı́az-Torga. 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 Graciela Dı́az-Torga. The network helps show where Graciela Dı́az-Torga may publish in the future.
Co-authorship network of co-authors of Graciela Dı́az-Torga
This figure shows the co-authorship network connecting the top 25 collaborators of Graciela Dı́az-Torga. A scholar is included among the top collaborators of Graciela Dı́az-Torga 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 Graciela Dı́az-Torga. Graciela Dı́az-Torga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 12 | |
| 4 | 10 | |
| 5 | 90 | |
| 6 | 40 | |
| 7 | 20 | |
| 8 | 33 | |
| 9 | 18 | |
| 10 | 37 | |
| 11 | Neumoperitoneo no quirúrgico | 1 |
| 12 | 55 | |
| 13 | 32 | |
| 14 | 6 | |
| 15 | 76 | |
| 16 | 15 | |
| 17 | 14 | |
| 18 | 4 | |
| 19 | 20 | |
| 20 | 13 |
About Graciela Dı́az-Torga
Graciela Dı́az-Torga is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (28 papers), Pituitary Gland Disorders and Treatments (26 papers) and Hypothalamic control of reproductive hormones (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (505 citations), Behavioral Neuroscience (79 citations) and Endocrine and Autonomic Systems (123 citations). Graciela Dı́az-Torga has collaborated with scholars based in Argentina, United States and Spain. Frequent co-authors include Damasia Becú‐Villalobos, Carlos Libertun, I.M. Lacau-Mengido, Malcolm J. Low, Marcelo Rubinstein, C. Libertun, Carolina Cristina, M. Victoria Recouvreux, Arturo E. González-Iglesias and María Inés Pérez‐Millán. Their work appears in journals such as Endocrinology, Life Sciences and Molecular Cancer.
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.