Fernando Naya-Català

55 total papers · 1.0k total citations
36 papers, 676 citations indexed

About

Fernando Naya-Català is a scholar working on Immunology, Aquatic Science and Molecular Biology. According to data from OpenAlex, Fernando Naya-Català has authored 36 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 19 papers in Aquatic Science and 18 papers in Molecular Biology. Recurrent topics in Fernando Naya-Català's work include Aquaculture disease management and microbiota (22 papers), Aquaculture Nutrition and Growth (19 papers) and Gut microbiota and health (10 papers). Fernando Naya-Català is often cited by papers focused on Aquaculture disease management and microbiota (22 papers), Aquaculture Nutrition and Growth (19 papers) and Gut microbiota and health (10 papers). Fernando Naya-Català collaborates with scholars based in Spain, Norway and Egypt. Fernando Naya-Català's co-authors include Jaume Pérez‐Sánchez, M. Carla Piazzon, Josep À. Calduch-Giner, Ariadna Sitjà‐Bobadilla, Paula Simó‐Mirabet, Erick Perera, Juan António Martos-Sitcha, Oswaldo Palenzuela, Itziar Estensoro and Francisco J. Roig and has published in prestigious journals such as Scientific Reports, Environmental Pollution and International Journal of Molecular Sciences.

In The Last Decade

Fernando Naya-Català

33 papers receiving 673 citations

Author Peers

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

Author						Papers	Cites
Fernando Naya-Català	379	329	215	159	83	36	676
Eric Amenyogbe	424 1.1×	424 1.3×	98 0.5×	199 1.3×	37 0.4×	50	768
Carlo Poltronieri	292 0.8×	315 1.0×	95 0.4×	267 1.7×	140 1.7×	24	696
Margita Jadan	275 0.7×	285 0.9×	119 0.6×	128 0.8×	73 0.9×	29	737
Zhongliang Wang	428 1.1×	296 0.9×	143 0.7×	133 0.8×	31 0.4×	50	750
Kunihiko Futami	272 0.7×	248 0.8×	202 0.9×	85 0.5×	23 0.3×	35	629
Zongjun Du	248 0.7×	264 0.8×	137 0.6×	184 1.2×	39 0.5×	50	682
Charles McGurk	403 1.1×	331 1.0×	128 0.6×	156 1.0×	26 0.3×	32	685
Ignasi Sanahuja	498 1.3×	390 1.2×	133 0.6×	213 1.3×	56 0.7×	39	730
Qufei Ling	214 0.6×	334 1.0×	122 0.6×	255 1.6×	27 0.3×	25	634
Jianlin Pan	240 0.6×	197 0.6×	212 1.0×	136 0.9×	28 0.3×	47	649

Countries citing papers authored by Fernando Naya-Català

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Naya-Català

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Naya-Català. 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 Fernando Naya-Català. The network helps show where Fernando Naya-Català may publish in the future.

Co-authorship network of co-authors of Fernando Naya-Català

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Naya-Català. A scholar is included among the top collaborators of Fernando Naya-Català 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 Fernando Naya-Català. Fernando Naya-Català 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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