J. De Alba

12 total papers · 463 total citations
9 papers, 343 citations indexed

About

J. De Alba is a scholar working on Physiology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, J. De Alba has authored 9 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Neurology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in J. De Alba's work include Nitric Oxide and Endothelin Effects (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Asthma and respiratory diseases (2 papers). J. De Alba is often cited by papers focused on Nitric Oxide and Endothelin Effects (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Asthma and respiratory diseases (2 papers). J. De Alba collaborates with scholars based in Spain, United Kingdom and United States. J. De Alba's co-authors include Pedro Lorenzo, Juan C. Leza, Marı́a A. Moro, Ignacio Lizasoaín, Lisardo Boscá, A. Cárdenas, M.L. Bentura, José Rodrigo, Ana Patricia Fernández and María José Guerra Palmero and has published in prestigious journals such as Journal of Neurochemistry, European Respiratory Journal and Psychopharmacology.

In The Last Decade

J. De Alba

9 papers receiving 341 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. De Alba 158 88 69 62 48 9 343
Sheila C. Victório 176 1.1× 90 1.0× 34 0.5× 54 0.9× 38 0.8× 10 387
Gabriel Barros Rodrigues 105 0.7× 111 1.3× 45 0.7× 74 1.2× 21 0.4× 12 366
Sridevi Dasarathi 90 0.6× 92 1.0× 32 0.5× 89 1.4× 48 1.0× 13 320
Sumit Barua 103 0.7× 131 1.5× 63 0.9× 57 0.9× 36 0.8× 13 377
Ángel Trueba-Sáiz 118 0.7× 90 1.0× 48 0.7× 82 1.3× 19 0.4× 10 300
Julia Derk 100 0.6× 80 0.9× 44 0.6× 95 1.5× 31 0.6× 9 345
Jean‐Grégoire Marin 112 0.7× 121 1.4× 124 1.8× 41 0.7× 11 0.2× 11 400
Kyohei Tokizane 107 0.7× 142 1.6× 33 0.5× 29 0.5× 34 0.7× 11 390
Kendra L. Burgher 151 1.0× 116 1.3× 50 0.7× 126 2.0× 62 1.3× 8 396
Yiding Xing 77 0.5× 107 1.2× 96 1.4× 40 0.6× 21 0.4× 9 351

Countries citing papers authored by J. De Alba

Since Specialization
Citations

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

Fields of papers citing papers by J. De Alba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. De Alba. 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 J. De Alba. The network helps show where J. De Alba may publish in the future.

Co-authorship network of co-authors of J. De Alba

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

All Works

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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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