Gerardo Del Valle
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Neurology
- Obstetrics and Gynecology top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Patricia CuencaFernando MoralesLuis Sanchez‐RamosFrancisco L. GaudierDarren G. MoncktonTetsuo AshizawaAndrew M. KaunitzIsaac Delke
- Topics
- Genetic Neurodegenerative Diseases (7 papers)Hereditary Neurological Disorders (4 papers)Ion channel regulation and function (3 papers)
- Journals
- The American Journal of Human GeneticsHuman Molecular GeneticsAmerican Journal of Obstetrics and Gynecology
- Partner nations
- Costa RicaGermanyUnited States
In The Last Decade
Gerardo Del Valle
12 papers receiving 326 citations
Peers
Comparison fields: 5 of 44
- Cellular and Molecular Neuroscience 223
- Molecular Biology 180
- Neurology 71
- Obstetrics and Gynecology 66
- Public Health, Environmental and Occupational Health 60
Countries citing papers authored by Gerardo Del Valle
This map shows the geographic impact of Gerardo Del Valle'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 Gerardo Del Valle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerardo Del Valle more than expected).
Fields of papers citing papers by Gerardo Del Valle
This network shows the impact of papers produced by Gerardo Del Valle. 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 Gerardo Del Valle. The network helps show where Gerardo Del Valle may publish in the future.
Co-authorship network of co-authors of Gerardo Del Valle
This figure shows the co-authorship network connecting the top 25 collaborators of Gerardo Del Valle. A scholar is included among the top collaborators of Gerardo Del Valle 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 Gerardo Del Valle. Gerardo Del Valle 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 | 20 | |
| 3 | 20 | |
| 4 | 128 | |
| 5 | 3 | |
| 6 | Gene symbol: CLCN1. Disease: Myotonia congenita. | 1 |
| 7 | 8 | |
| 8 | 14 | |
| 9 | 14 | |
| 10 | 49 | |
| 11 | 72 | |
| 12 | 3 |
About Gerardo Del Valle
Gerardo Del Valle is a scholar working on Cellular and Molecular Neuroscience, Obstetrics and Gynecology and Neurology, having authored 12 papers that have together received 334 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (7 papers), Hereditary Neurological Disorders (4 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (223 citations), Obstetrics and Gynecology (66 citations) and Neurology (71 citations). Gerardo Del Valle has collaborated with scholars based in Costa Rica, Germany and United States. Frequent co-authors include Patricia Cuenca, Fernando Morales, Luis Sanchez‐Ramos, Francisco L. Gaudier, Darren G. Monckton, Tetsuo Ashizawa, Andrew M. Kaunitz, Isaac Delke, Richard H. Wilson and Grant Hogg. Their work appears in journals such as The American Journal of Human Genetics, Human Molecular Genetics and American Journal of Obstetrics and Gynecology.
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.