P. Dávila‐Seijo

32 total papers · 494 total citations
16 papers, 194 citations indexed

About

P. Dávila‐Seijo is a scholar working on Immunology, Molecular Biology and Economics and Econometrics. According to data from OpenAlex, P. Dávila‐Seijo has authored 16 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Molecular Biology and 5 papers in Economics and Econometrics. Recurrent topics in P. Dávila‐Seijo's work include Health Systems, Economic Evaluations, Quality of Life (5 papers), Psoriasis: Treatment and Pathogenesis (4 papers) and Meta-analysis and systematic reviews (4 papers). P. Dávila‐Seijo is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (5 papers), Psoriasis: Treatment and Pathogenesis (4 papers) and Meta-analysis and systematic reviews (4 papers). P. Dávila‐Seijo collaborates with scholars based in Spain, Sweden and United States. P. Dávila‐Seijo's co-authors include I. García‐Doval, Sinéad Langan, Á. Hernández‐Martín, Antonio Torrelo, J.M. Carrascosa, P. de la Cueva, F. Vanaclocha, R. Jiménez‐Puya, E. Daudén and J.L. Sánchez‐Carazo and has published in prestigious journals such as British Journal of Dermatology, Orphanet Journal of Rare Diseases and Journal of the European Academy of Dermatology and Venereology.

In The Last Decade

P. Dávila‐Seijo

15 papers receiving 191 citations

Author Peers

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

Author						Papers	Cites
P. Dávila‐Seijo	84	57	49	43	37	16	194
Ruwani Katugampola	107 1.3×	124 2.2×	22 0.4×	28 0.7×	106 2.9×	13	282
H. Vázquez‐Veiga	113 1.3×	102 1.8×	38 0.8×	13 0.3×	13 0.4×	27	203
H. Barthélémy	144 1.7×	115 2.0×	19 0.4×	12 0.3×	30 0.8×	18	267
Luigi Fornaro	89 1.1×	91 1.6×	8 0.2×	15 0.3×	27 0.7×	18	209
Piotr Ciechanowicz	92 1.1×	110 1.9×	7 0.1×	30 0.7×	31 0.8×	22	280
Sami Alsuwaidan	118 1.4×	180 3.2×	16 0.3×	14 0.3×	14 0.4×	17	280
H.E. Hansen	141 1.7×	58 1.0×	8 0.2×	11 0.3×	35 0.9×	17	238
Giuseppe Fabrizio Amoruso	136 1.6×	99 1.7×	8 0.2×	15 0.3×	35 0.9×	15	276
Inge M. G. J. Bronckers	174 2.1×	106 1.9×	12 0.2×	7 0.2×	18 0.5×	10	218
E. del Alcázar	187 2.2×	172 3.0×	14 0.3×	17 0.4×	7 0.2×	17	267

Countries citing papers authored by P. Dávila‐Seijo

Since Specialization

Citations

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

Fields of papers citing papers by P. Dávila‐Seijo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Dávila‐Seijo. 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 P. Dávila‐Seijo. The network helps show where P. Dávila‐Seijo may publish in the future.

Co-authorship network of co-authors of P. Dávila‐Seijo

This figure shows the co-authorship network connecting the top 25 collaborators of P. Dávila‐Seijo. A scholar is included among the top collaborators of P. Dávila‐Seijo 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 P. Dávila‐Seijo. P. Dávila‐Seijo 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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