Kioko Guzmán‐Ramos
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Physiology
- Molecular Biology
- Nutrition and Dietetics
- Co-authors
- Federico Bermúdez‐RattoniPerla Moreno‐CastillaLuis F. Rodríguez-DuránFrank M. LaFerlaJames L. McGaughHilda Martínez‐CoriaMartha L. EscobarGustavo Pacheco‐López
- Topics
- Neuroscience and Neuropharmacology Research (17 papers)Memory and Neural Mechanisms (15 papers)Biochemical Analysis and Sensing Techniques (6 papers)
- Partner nations
- MexicoUnited StatesFrance
In The Last Decade
Kioko Guzmán‐Ramos
22 papers receiving 501 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 274
- Cognitive Neuroscience 224
- Physiology 150
- Molecular Biology 89
- Nutrition and Dietetics 79
Countries citing papers authored by Kioko Guzmán‐Ramos
This map shows the geographic impact of Kioko Guzmán‐Ramos'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 Kioko Guzmán‐Ramos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kioko Guzmán‐Ramos more than expected).
Fields of papers citing papers by Kioko Guzmán‐Ramos
This network shows the impact of papers produced by Kioko Guzmán‐Ramos. 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 Kioko Guzmán‐Ramos. The network helps show where Kioko Guzmán‐Ramos may publish in the future.
Co-authorship network of co-authors of Kioko Guzmán‐Ramos
This figure shows the co-authorship network connecting the top 25 collaborators of Kioko Guzmán‐Ramos. A scholar is included among the top collaborators of Kioko Guzmán‐Ramos 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 Kioko Guzmán‐Ramos. Kioko Guzmán‐Ramos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 13 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 57 | |
| 12 | 66 | |
| 13 | 20 | |
| 14 | 9 | |
| 15 | 24 | |
| 16 | 25 | |
| 17 | 103 | |
| 18 | 12 | |
| 19 | 52 | |
| 20 | 20 |
About Kioko Guzmán‐Ramos
Kioko Guzmán‐Ramos is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 23 papers that have together received 501 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Memory and Neural Mechanisms (15 papers) and Biochemical Analysis and Sensing Techniques (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (274 citations), Cognitive Neuroscience (224 citations) and Biological Psychiatry (25 citations). Kioko Guzmán‐Ramos has collaborated with scholars based in Mexico, United States and France. Frequent co-authors include Federico Bermúdez‐Rattoni, Perla Moreno‐Castilla, Luis F. Rodríguez-Durán, Frank M. LaFerla, James L. McGaugh, Hilda Martínez‐Coria, Martha L. Escobar, Gustavo Pacheco‐López, Guillaume Ferreira and Claudia Pérez-Cruz. Their work appears in journals such as Neuroscience, Journal of Neurochemistry and Neurobiology of Aging.
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.