Linda Garcés‐Ramírez
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Physiology top 10%
- Neurology top 5%
- Biological Psychiatry top 5%
- Co-authors
- Fidel de la CruzGonzalo FloresMar Pacheco‐HerreroJosé Luna‐MuñozLuis O. Soto-RojasHiram Tendilla‐BeltránCharles R. HarringtonRubén Antonio Vázquez‐Roque
- Topics
- Alzheimer's disease research and treatments (10 papers)Neuroscience and Neuropharmacology Research (9 papers)Neuroinflammation and Neurodegeneration Mechanisms (6 papers)
- Partner nations
- MexicoDominican RepublicUnited Kingdom
In The Last Decade
Linda Garcés‐Ramírez
32 papers receiving 678 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 247
- Cellular and Molecular Neuroscience 238
- Physiology 198
- Neurology 171
- Biological Psychiatry 79
Countries citing papers authored by Linda Garcés‐Ramírez
This map shows the geographic impact of Linda Garcés‐Ramírez'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 Linda Garcés‐Ramírez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Garcés‐Ramírez more than expected).
Fields of papers citing papers by Linda Garcés‐Ramírez
This network shows the impact of papers produced by Linda Garcés‐Ramírez. 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 Linda Garcés‐Ramírez. The network helps show where Linda Garcés‐Ramírez may publish in the future.
Co-authorship network of co-authors of Linda Garcés‐Ramírez
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Garcés‐Ramírez. A scholar is included among the top collaborators of Linda Garcés‐Ramírez 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 Linda Garcés‐Ramírez. Linda Garcés‐Ramírez 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 | 4 | |
| 4 | 6 | |
| 5 | 15 | |
| 6 | 68 | |
| 7 | 15 | |
| 8 | 12 | |
| 9 | 23 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 19 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 11 | |
| 16 | 63 | |
| 17 | 37 | |
| 18 | 10 | |
| 19 | 11 | |
| 20 | 78 |
About Linda Garcés‐Ramírez
Linda Garcés‐Ramírez is a scholar working on Neurology, Biological Psychiatry and Behavioral Neuroscience, having authored 34 papers that have together received 681 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Biological Psychiatry (79 citations), Neurology (171 citations) and Cellular and Molecular Neuroscience (238 citations). Linda Garcés‐Ramírez has collaborated with scholars based in Mexico, Dominican Republic and United Kingdom. Frequent co-authors include Fidel de la Cruz, Gonzalo Flores, Mar Pacheco‐Herrero, José Luna‐Muñoz, Luis O. Soto-Rojas, Hiram Tendilla‐Beltrán, Charles R. Harrington, Rubén Antonio Vázquez‐Roque, Ignacio Villanueva‐Fierro and Jonathan L. Katz. Their work appears in journals such as Journal of Neuroscience, Biological Psychiatry and The FASEB Journal.
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.