Inmaculada Peiró

86 total papers · 720 total citations
25 papers, 402 citations indexed

About

Inmaculada Peiró is a scholar working on Physiology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Inmaculada Peiró has authored 25 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 9 papers in Oncology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Inmaculada Peiró's work include Nutrition and Health in Aging (10 papers), Neuroendocrine Tumor Research Advances (5 papers) and Pituitary Gland Disorders and Treatments (5 papers). Inmaculada Peiró is often cited by papers focused on Nutrition and Health in Aging (10 papers), Neuroendocrine Tumor Research Advances (5 papers) and Pituitary Gland Disorders and Treatments (5 papers). Inmaculada Peiró collaborates with scholars based in Spain, Canada and France. Inmaculada Peiró's co-authors include Lorena Arribas, Ernest Nadal, Ricard Mesı́a, N. Virgili, Francisco Javier Martínez-Martín, Miren Taberna, Alicia Lozano, Silvia Vázquez, Juan J. Díez and Pedro Iglesias and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and European Journal of Clinical Nutrition.

In The Last Decade

Inmaculada Peiró

20 papers receiving 388 citations

Author Peers

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

Author						Papers	Cites
Inmaculada Peiró	155	140	96	68	54	25	402
Isidoro Cano‐Rodríguez	225 1.5×	65 0.5×	68 0.7×	39 0.6×	61 1.1×	33	402
Alicia Calleja‐Fernández	241 1.6×	66 0.5×	72 0.8×	42 0.6×	52 1.0×	33	438
Nada Rotovnik Kozjek	227 1.5×	83 0.6×	78 0.8×	87 1.3×	29 0.5×	35	394
Carla Alberici Pastore	266 1.7×	131 0.9×	48 0.5×	29 0.4×	51 0.9×	21	416
Rocío Villar‐Taibo	142 0.9×	35 0.3×	33 0.3×	20 0.3×	40 0.7×	39	376
M P Blanc-Vincent	118 0.8×	114 0.8×	56 0.6×	17 0.3×	29 0.5×	32	344
Panpan Zha	167 1.1×	59 0.4×	67 0.7×	7 0.1×	80 1.5×	21	410
Jerena Manoharan	146 0.9×	251 1.8×	67 0.7×	8 0.1×	68 1.3×	30	443
Ya‐Ting Jan	169 1.1×	113 0.8×	42 0.4×	15 0.2×	45 0.8×	22	445
Ilanna Marques Gomes da Rocha	238 1.5×	49 0.3×	17 0.2×	7 0.1×	101 1.9×	23	380

Countries citing papers authored by Inmaculada Peiró

Since Specialization

Citations

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

Fields of papers citing papers by Inmaculada Peiró

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inmaculada Peiró

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