P. Segui

40 total papers · 650 total citations
12 papers, 431 citations indexed

About

P. Segui is a scholar working on Rheumatology, Immunology and Molecular Biology. According to data from OpenAlex, P. Segui has authored 12 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Rheumatology, 5 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in P. Segui's work include Systemic Lupus Erythematosus Research (5 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). P. Segui is often cited by papers focused on Systemic Lupus Erythematosus Research (5 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). P. Segui collaborates with scholars based in Spain, United Kingdom and United States. P. Segui's co-authors include Eduardo Collantes‐Estévez, Nuria Barbarroja, M. Á. Aguirre, C. López-Pedrera, C. Pérez‐Sánchez, Antonio Rodríguez‐Ariza, Patricia Ruiz‐Limón, José A. González‐Reyes, José M. Villalba and Yolanda Jiménez and has published in prestigious journals such as Blood, Scientific Reports and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

P. Segui

11 papers receiving 428 citations

Author Peers

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

Author						Papers	Cites
P. Segui	223	216	163	53	52	12	431
Sahoko Morinobu	194 0.9×	128 0.6×	132 0.8×	30 0.6×	22 0.4×	10	473
Zsuzsa Sándor	193 0.9×	104 0.5×	119 0.7×	31 0.6×	30 0.6×	15	454
Catalina Burbano	169 0.8×	246 1.1×	217 1.3×	54 1.0×	55 1.1×	16	466
Alessandra Penatti	235 1.1×	224 1.0×	73 0.4×	48 0.9×	27 0.5×	10	474
Tiina M. Järvinen	120 0.5×	158 0.7×	83 0.5×	39 0.7×	31 0.6×	14	390
Fumitaka Shiozawa	161 0.7×	148 0.7×	128 0.8×	59 1.1×	36 0.7×	12	448
Viviana Antonella Pacucci	300 1.3×	208 1.0×	71 0.4×	31 0.6×	14 0.3×	17	464
T. Saber	266 1.2×	201 0.9×	97 0.6×	124 2.3×	51 1.0×	12	465
Chang‐Min Kang	129 0.6×	279 1.3×	94 0.6×	51 1.0×	48 0.9×	11	423
Shankar Revu	86 0.4×	231 1.1×	84 0.5×	32 0.6×	29 0.6×	14	397

Countries citing papers authored by P. Segui

Since Specialization

Citations

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

Fields of papers citing papers by P. Segui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Segui

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