Daniel Sobrido‐Cameán

584 total citations
29 papers, 344 citations indexed

About

Daniel Sobrido‐Cameán is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Daniel Sobrido‐Cameán has authored 29 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 11 papers in Molecular Biology and 8 papers in Developmental Neuroscience. Recurrent topics in Daniel Sobrido‐Cameán's work include Nerve injury and regeneration (7 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and Spinal Cord Injury Research (6 papers). Daniel Sobrido‐Cameán is often cited by papers focused on Nerve injury and regeneration (7 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and Spinal Cord Injury Research (6 papers). Daniel Sobrido‐Cameán collaborates with scholars based in Spain, United Kingdom and Finland. Daniel Sobrido‐Cameán's co-authors include Antón Barreiro‐Iglesias, Laura Sánchez, Marı́a Celina Rodicio, Manuel Collado, Jorge Guerra‐Varela, Sabela Da Silva‐Álvarez, Ramón Anadón, Diego Robledo, Michael I. Shifman and María Jesús Sobrido and has published in prestigious journals such as The Journal of Comparative Neurology, PLoS Biology and BioMed Research International.

In The Last Decade

Daniel Sobrido‐Cameán

27 papers receiving 340 citations

Peers

Daniel Sobrido‐Cameán
Comparison fields: 5 of 74
  • Molecular Biology 128
  • Cellular and Molecular Neuroscience 110
  • Physiology 86
  • Cell Biology 59
  • Pathology and Forensic Medicine 55
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Citations per field, relative to Daniel Sobrido‐Cameán
Daniel Sobrido‐Cameán · 1×
Citations per year, relative to Daniel Sobrido‐Cameán
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Countries citing papers authored by Daniel Sobrido‐Cameán

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sobrido‐Cameán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Sobrido‐Cameán. 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 Daniel Sobrido‐Cameán. The network helps show where Daniel Sobrido‐Cameán may publish in the future.

Co-authorship network of co-authors of Daniel Sobrido‐Cameán

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Sobrido‐Cameán. A scholar is included among the top collaborators of Daniel Sobrido‐Cameán 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 Daniel Sobrido‐Cameán. Daniel Sobrido‐Cameán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 7
5 5
6 4
7 2
8 4
9 7
10 13
11 1
12 2
13 5
14 8
15 15
16 13
17 21
18 6
19 9
20 6

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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