Fernando Cassorla
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Genetics top 10%
- Reproductive Medicine top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Saúl MalozowskiJudith L. RossOra Hirsch PescovitzMarie C. GelatoCarlos Castillo‐DuránPenelope FeuillanGordon B. CutlerGeorge R. Merriam
- Topics
- Growth Hormone and Insulin-like Growth Factors (11 papers)Sexual Differentiation and Disorders (9 papers)Hormonal and reproductive studies (8 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismPEDIATRICSThe American Journal of Medicine
- Partner nations
- United StatesChileSweden
In The Last Decade
Fernando Cassorla
38 papers receiving 782 citations
Peers
Comparison fields: 5 of 89
- Endocrinology, Diabetes and Metabolism 442
- Molecular Biology 269
- Genetics 249
- Reproductive Medicine 158
- Pediatrics, Perinatology and Child Health 111
Countries citing papers authored by Fernando Cassorla
This map shows the geographic impact of Fernando Cassorla'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 Fernando Cassorla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Cassorla more than expected).
Fields of papers citing papers by Fernando Cassorla
This network shows the impact of papers produced by Fernando Cassorla. 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 Fernando Cassorla. The network helps show where Fernando Cassorla may publish in the future.
Co-authorship network of co-authors of Fernando Cassorla
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Cassorla. A scholar is included among the top collaborators of Fernando Cassorla 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 Fernando Cassorla. Fernando Cassorla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 15 | |
| 3 | 24 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 19 | |
| 7 | 17 | |
| 8 | 19 | |
| 9 | 3 | |
| 10 | 31 | |
| 11 | 91 | |
| 12 | 40 | |
| 13 | 15 | |
| 14 | 23 | |
| 15 | 6 | |
| 16 | 42 | |
| 17 | 2 | |
| 18 | 11 | |
| 19 | 5 | |
| 20 | 0 |
About Fernando Cassorla
Fernando Cassorla is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Reproductive Medicine, having authored 39 papers that have together received 839 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Sexual Differentiation and Disorders (9 papers) and Hormonal and reproductive studies (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (442 citations), Reproductive Medicine (158 citations) and Genetics (249 citations). Fernando Cassorla has collaborated with scholars based in United States, Chile and Sweden. Frequent co-authors include Saúl Malozowski, Judith L. Ross, Ora Hirsch Pescovitz, Marie C. Gelato, Carlos Castillo‐Durán, Penelope Feuillan, Gordon B. Cutler, George R. Merriam, John S. Parks and Susan R. Rose. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, PEDIATRICS and The American Journal of Medicine.
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.