David Fernández
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Genetics
- Cellular and Molecular Neuroscience top 10%
- Plant Science
- Co-authors
- Michael C. SanguinettiGiulietta SpudichPeter J. ChristieXue‐Rong ZhouGregory W. KauffmanJon IrazustaLuı́s CasisJuan Frau
- Topics
- Neuropeptides and Animal Physiology (11 papers)Peptidase Inhibition and Analysis (6 papers)Cardiac electrophysiology and arrhythmias (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- SpainUnited StatesMexico
In The Last Decade
David Fernández
43 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 530
- Cardiology and Cardiovascular Medicine 261
- Genetics 135
- Cellular and Molecular Neuroscience 128
- Plant Science 119
Countries citing papers authored by David Fernández
This map shows the geographic impact of David Fernández'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 David Fernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Fernández more than expected).
Fields of papers citing papers by David Fernández
This network shows the impact of papers produced by David Fernández. 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 David Fernández. The network helps show where David Fernández may publish in the future.
Co-authorship network of co-authors of David Fernández
This figure shows the co-authorship network connecting the top 25 collaborators of David Fernández. A scholar is included among the top collaborators of David Fernández 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 David Fernández. David Fernández is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 18 | |
| 5 | 13 | |
| 6 | 34 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 33 | |
| 11 | 10 | |
| 12 | 16 | |
| 13 | 31 | |
| 14 | 24 | |
| 15 | 5 | |
| 16 | Study of the secretion of substance P, neurotensin and somatostatin in patients with cholelithiasis. | 2 |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 9 |
About David Fernández
David Fernández is a scholar working on Health Informatics, Cellular and Molecular Neuroscience and Oncology, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Peptidase Inhibition and Analysis (6 papers) and Cardiac electrophysiology and arrhythmias (6 papers). The work is most often cited by research in Endocrinology (87 citations), Research and Theory (13 citations) and Cardiology and Cardiovascular Medicine (261 citations). David Fernández has collaborated with scholars based in Spain, United States and Mexico. Frequent co-authors include Michael C. Sanguinetti, Giulietta Spudich, Peter J. Christie, Xue‐Rong Zhou, Gregory W. Kauffman, Jon Irazusta, Luı́s Casis, Juan Frau, Joaquín Ortega‐Castro and Asier Valdivia. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.