David Díaz

37 papers receiving 500 citations

Peers

David Díaz
Comparison fields: 5 of 81
  • Developmental Neuroscience 108
  • Sensory Systems 66
  • Neurology 90
  • Cellular and Molecular Neuroscience 127
  • Genetics 51
Replace Mercedes Tomé with:
Mercedes Tomé Spain
Tiziana Petrozziello Italy
N Nakahata Japan
Tomohiro Okuda Japan
María Victoria Zelaya Spain
Fernando Picatoste Spain
Nali Jia China
Diego E. Hernández Chile
Elías Leiva‐Salcedo Chile
Christiane Fages France
David Díaz relative to Mercedes Tomé Spain Mercedes Tomé's profile →
Citations per field
00.5×2.6×
Mercedes Tomé · 1×
Citations per year

Countries citing papers authored by David Díaz

Since Specialization
Citations

This map shows the geographic impact of David Díaz'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 Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Díaz more than expected).

Fields of papers citing papers by David Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Díaz. 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 Díaz. The network helps show where David Díaz may publish in the future.

Co-authors

The 25 scholars most cited alongside David Díaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Díaz Line = papers co-authored together David Díaz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200768
2 200944
3 201339
4 201027
5 201825
6 201224
7 201423
8 201222
9 200921
10 198421
11 201121
12 201220
13 201717
14 201317
15 201712
16 201311
17 201910
18 201910
19 20149
20 20078

About David Díaz

David Díaz is a scholar working on Developmental Neuroscience, Neurology, Cellular and Molecular Neuroscience, Molecular Biology and Sensory Systems, having authored 38 papers that have together received 509 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Olfactory and Sensory Function Studies (8 papers), Mesenchymal stem cell research (6 papers), Biochemical Analysis and Sensing Techniques (4 papers), Nerve injury and regeneration (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Developmental Neuroscience (108 citations), Sensory Systems (66 citations), Neurology (90 citations), Cellular and Molecular Neuroscience (127 citations) and Genetics (51 citations). David Díaz has collaborated with scholars based in Spain, Chile and United States. Frequent co-authors include Eduardo Weruaga, J.R. Alonso, Fernando C. Baltanás, José Luis López‐Pérez, Esther del Olmo, Roberto Therón, Rodrigo Muñoz-Castañeda, Carmela Gómez, Jorge Valero and Manuel Álvarez‐Dolado. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences, Journal of Endourology, Journal of Tissue Engineering and Regenerative Medicine and Neuroscience.

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.

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