Pilar Arias

37 total papers · 578 total citations
29 papers, 457 citations indexed

About

Pilar Arias is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Pilar Arias has authored 29 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Pilar Arias's work include Peptidase Inhibition and Analysis (4 papers), Neuropeptides and Animal Physiology (3 papers) and Immune Cell Function and Interaction (3 papers). Pilar Arias is often cited by papers focused on Peptidase Inhibition and Analysis (4 papers), Neuropeptides and Animal Physiology (3 papers) and Immune Cell Function and Interaction (3 papers). Pilar Arias collaborates with scholars based in Spain, United States and Argentina. Pilar Arias's co-authors include Francisco J. Salgado, Montserrat Nogueira, Cristina Cutillas, Francisco Javier González‐Barcala, D. C. Guevara, Juan José Nieto‐Fontarigo, Amparo Pérez‐Díaz, Manuel Freire, Jaime Gómez‐Márquez and Esther San José and has published in prestigious journals such as Biochemistry, Scientific Reports and Analytica Chimica Acta.

In The Last Decade

Pilar Arias

29 papers receiving 441 citations

Author Peers

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

Author						Papers	Cites
Pilar Arias	102	88	86	69	68	29	457
Robert D. Murnane	140 1.4×	127 1.4×	108 1.3×	49 0.7×	37 0.5×	46	530
Jessica Maria Abbate	88 0.9×	100 1.1×	53 0.6×	38 0.6×	80 1.2×	32	451
Francesca Parisi	55 0.5×	64 0.7×	47 0.5×	68 1.0×	67 1.0×	49	490
R. E. Schmidt	73 0.7×	77 0.9×	152 1.8×	79 1.1×	19 0.3×	43	460
K. Nielsen	178 1.7×	51 0.6×	50 0.6×	53 0.8×	66 1.0×	37	446
Francesco Albanese	120 1.2×	61 0.7×	66 0.8×	134 1.9×	18 0.3×	35	513
B Galindo	93 0.9×	73 0.8×	142 1.7×	42 0.6×	19 0.3×	15	435
S. Klumpp	138 1.4×	102 1.2×	125 1.5×	41 0.6×	35 0.5×	25	549
M Satoh	63 0.6×	94 1.1×	71 0.8×	133 1.9×	18 0.3×	19	421
Massimo De Majo	81 0.8×	83 0.9×	57 0.7×	56 0.8×	28 0.4×	45	453

Countries citing papers authored by Pilar Arias

Since Specialization

Citations

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

Fields of papers citing papers by Pilar Arias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pilar Arias

This figure shows the co-authorship network connecting the top 25 collaborators of Pilar Arias. A scholar is included among the top collaborators of Pilar Arias 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 Pilar Arias. Pilar Arias 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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