Daniela Silva‐Adaya
- Biological Psychiatry top 1%
- Molecular Biology
- Behavioral Neuroscience top 2%
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Co-authors
- Abel Santamarı́aVerónica Pérez de la CruzJorge GuevaraLucio Antonio Ramos-ChávezPaul Carrillo‐MoraJosé Pedraza-Chaverrı́Benjamín PinedaMaría E. Gonsebatt
- Topics
- Neuroscience and Neuropharmacology Research (5 papers)Tryptophan and brain disorders (5 papers)Stress Responses and Cortisol (3 papers)
- Journals
- International Journal of Molecular SciencesJournal of NeurochemistryOxidative Medicine and Cellular Longevity
- Partner nations
- MexicoUnited StatesCanada
In The Last Decade
Daniela Silva‐Adaya
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Biological Psychiatry 388
- Molecular Biology 362
- Behavioral Neuroscience 215
- Cellular and Molecular Neuroscience 152
- Physiology 149
Countries citing papers authored by Daniela Silva‐Adaya
This map shows the geographic impact of Daniela Silva‐Adaya'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 Daniela Silva‐Adaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Silva‐Adaya more than expected).
Fields of papers citing papers by Daniela Silva‐Adaya
This network shows the impact of papers produced by Daniela Silva‐Adaya. 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 Daniela Silva‐Adaya. The network helps show where Daniela Silva‐Adaya may publish in the future.
Co-authorship network of co-authors of Daniela Silva‐Adaya
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Silva‐Adaya. A scholar is included among the top collaborators of Daniela Silva‐Adaya 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 Daniela Silva‐Adaya. Daniela Silva‐Adaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 16 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 19 | |
| 8 | 57 | |
| 9 | 83 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 56 | |
| 13 | 77 | |
| 14 | 25 | |
| 15 | 270 | |
| 16 | 8 | |
| 17 | 26 | |
| 18 | 59 | |
| 19 | 100 | |
| 20 | 61 |
About Daniela Silva‐Adaya
Daniela Silva‐Adaya is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Biochemistry, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Tryptophan and brain disorders (5 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Biological Psychiatry (388 citations), Behavioral Neuroscience (215 citations) and Neurology (95 citations). Daniela Silva‐Adaya has collaborated with scholars based in Mexico, United States and Canada. Frequent co-authors include Abel Santamarı́a, Verónica Pérez de la Cruz, Jorge Guevara, Lucio Antonio Ramos-Chávez, Paul Carrillo‐Mora, José Pedraza-Chaverrı́, Benjamín Pineda, María E. Gonsebatt, Emma Ortiz-Islas and Esperanza Garcı́a. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Neurochemistry and Oxidative Medicine and Cellular Longevity.
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.