M. Aparicio

63 total papers · 657 total citations
24 papers, 390 citations indexed

About

M. Aparicio is a scholar working on Surgery, Rheumatology and Cellular and Molecular Neuroscience. According to data from OpenAlex, M. Aparicio has authored 24 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Rheumatology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in M. Aparicio's work include Rheumatoid Arthritis Research and Therapies (4 papers), Spondyloarthritis Studies and Treatments (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). M. Aparicio is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (4 papers), Spondyloarthritis Studies and Treatments (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). M. Aparicio collaborates with scholars based in Spain and United States. M. Aparicio's co-authors include Enrique Saldaña, Albert S. Berrebi, Verónica Fuentes‐Santamaría, Joan M. Nolla, Javier Narváez, Helena Borrell, María Molina‐Molina, Douglas C. Fitzpatrick, Juan José Alegre Sancho and I. Castellví and has published in prestigious journals such as Journal of Neuroscience, Neuroscience and Annals of the Rheumatic Diseases.

In The Last Decade

M. Aparicio

20 papers receiving 380 citations

Author Peers

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

Author						Papers	Cites
M. Aparicio	128	96	85	74	53	24	390
Yuki Oichi	99 0.8×	245 2.6×	39 0.5×	40 0.5×	144 2.7×	15	403
P. Masnou	50 0.4×	140 1.5×	18 0.2×	39 0.5×	49 0.9×	29	425
O. Ribári	90 0.7×	23 0.2×	138 1.6×	31 0.4×	33 0.6×	34	340
Guillaume Vignaux	59 0.5×	26 0.3×	90 1.1×	21 0.3×	78 1.5×	13	372
C.F.L. Hinrichsen	69 0.5×	98 1.0×	22 0.3×	22 0.3×	60 1.1×	19	398
Elizabeth Chiang	68 0.5×	67 0.7×	23 0.3×	23 0.3×	119 2.2×	26	421
Martin F. Lischka	95 0.7×	99 1.0×	41 0.5×	10 0.1×	60 1.1×	19	373
Francesco Comacchio	70 0.5×	22 0.2×	105 1.2×	23 0.3×	59 1.1×	34	337
Kaku Niimura	80 0.6×	64 0.7×	90 1.1×	12 0.2×	82 1.5×	17	379
Chetan S. Nayak	139 1.1×	36 0.4×	31 0.4×	14 0.2×	98 1.8×	24	350

Countries citing papers authored by M. Aparicio

Since Specialization

Citations

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

Fields of papers citing papers by M. Aparicio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Aparicio

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