Fidel Herrera

469 total citations
24 papers, 355 citations indexed

About

Fidel Herrera is a scholar working on Immunology, Aquatic Science and Molecular Biology. According to data from OpenAlex, Fidel Herrera has authored 24 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 12 papers in Aquatic Science and 6 papers in Molecular Biology. Recurrent topics in Fidel Herrera's work include Aquaculture disease management and microbiota (12 papers), Aquaculture Nutrition and Growth (12 papers) and Animal Genetics and Reproduction (4 papers). Fidel Herrera is often cited by papers focused on Aquaculture disease management and microbiota (12 papers), Aquaculture Nutrition and Growth (12 papers) and Animal Genetics and Reproduction (4 papers). Fidel Herrera collaborates with scholars based in Cuba, Chile and Colombia. Fidel Herrera's co-authors include Mario Pablo Estrada, Antonio Morales, Rebeca Martı́nez, Yamila Carpio, Jannel Acosta, José de la Fuente, Amílcar Arenal, Ricardo Lleonart, Isabel Guillén and José Luís Vázquez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Aquaculture and Vaccine.

In The Last Decade

Fidel Herrera

23 papers receiving 339 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fidel Herrera Cuba 10 141 140 132 119 42 24 355
Fengyan Meng China 15 157 1.1× 44 0.3× 52 0.4× 127 1.1× 67 1.6× 40 491
Bih-Ying Yang Taiwan 8 32 0.2× 75 0.5× 91 0.7× 90 0.8× 17 0.4× 8 361
Sandrine Le Guillou France 14 72 0.5× 62 0.4× 88 0.7× 257 2.2× 4 0.1× 32 494
Mari H. Ogihara Japan 12 39 0.3× 20 0.1× 91 0.7× 111 0.9× 6 0.1× 23 308
Mujahid Ali Shah China 12 41 0.3× 45 0.3× 167 1.3× 118 1.0× 3 0.1× 35 366
M.J. Peddie United Kingdom 14 44 0.3× 14 0.1× 114 0.9× 91 0.8× 15 0.4× 27 487
Diego Vicente da Costa Brazil 11 96 0.7× 186 1.3× 70 0.5× 40 0.3× 1 0.0× 32 440
Hiroshi Shinbo Japan 13 30 0.2× 7 0.1× 64 0.5× 110 0.9× 9 0.2× 28 357
Saeyoull Cho South Korea 13 161 1.1× 7 0.1× 56 0.4× 143 1.2× 15 0.4× 28 403
M. Geshi Japan 17 99 0.7× 8 0.1× 241 1.8× 325 2.7× 86 2.0× 69 1.1k

Countries citing papers authored by Fidel Herrera

Since Specialization
Citations

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

Fields of papers citing papers by Fidel Herrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fidel Herrera

This figure shows the co-authorship network connecting the top 25 collaborators of Fidel Herrera. A scholar is included among the top collaborators of Fidel Herrera 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 Fidel Herrera. Fidel Herrera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Herrera, Fidel, et al.. (2025). Multi-criteria decision-making methods for labelling energy, visual and circadian performance of LED lighting products. Lighting Research & Technology. 58(1-2). 47–67.
2.
Moro, D, et al.. (2023). Nutritional supplement of FOS enhances growth and immune system in tilapia larvae (Oreochromis niloticus). Bionatura. 8(3). 1–10. 1 indexed citations
3.
4.
Morales, Antonio, et al.. (2021). Growth hormone secretagogue peptide-6 enhances oreochromicins transcription and antimicrobial activity in tilapia (Oreochromis sp.). Fish & Shellfish Immunology. 119. 508–515. 9 indexed citations
5.
6.
González, Marcos, Rodolfo Valdés, Yassel Ramos, et al.. (2020). Monoclonal antibody against Nile tilapia (Oreochromis niloticus) IgM heavy chain: A valuable tool for detection and quantification of IgM and IgM+ cells. Fish & Shellfish Immunology. 110. 44–54. 18 indexed citations
7.
Acosta, Jannel, et al.. (2018). Discovery of immunoglobulin T in Nile tilapia (Oreochromis niloticus): A potential molecular marker to understand mucosal immunity in this species. Developmental & Comparative Immunology. 88. 124–136. 34 indexed citations
8.
Acosta, Jannel, et al.. (2017). Novel IFNγ homologue identified in Nile tilapia ( Oreochromis niloticus ) links with immune response in gills under different stimuli. Fish & Shellfish Immunology. 71. 275–285. 29 indexed citations
9.
10.
Martı́nez, Rebeca, et al.. (2017). Synthetic Growth Hormone Secretagogue GHRP-6 Exhibits Enhanced Growth Activity and Immune System Stimulation in Teleost Fish and Shrimp. 1 indexed citations
11.
Martı́nez, Rebeca, Yamila Carpio, Antonio Morales, et al.. (2015). Oral administration of the growth hormone secretagogue-6 (GHRP-6) enhances growth and non-specific immune responses in tilapia ( Oreochromis sp.). Aquaculture. 452. 304–310. 26 indexed citations
12.
Martı́nez, Rebeca, Mario Pablo Estrada, Fidel Herrera, et al.. (2013). Demostración de la actividad biológica in vitro e in vivo, de un péptido secretagogo diseñado in silico para ser usado en peces. Biotecnología aplicada. 30(4). 320–322. 1 indexed citations
13.
Martı́nez, Rebeca, et al.. (2012). A novel GH secretagogue, A233, exhibits enhanced growth activity and innate immune system stimulation in teleosts fish. Journal of Endocrinology. 214(3). 409–419. 18 indexed citations
14.
Acosta, Jannel, et al.. (2010). New insights into the biological activity and secretion properties of a polypeptide derived from tilapia somatotropin. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 156(4). 264–272. 2 indexed citations
15.
Morales, Antonio, Osvaldo Reyes, Hilda Garay, et al.. (2010). The biological role of pituitary adenylate cyclase‐activating polypeptide (PACAP) in growth and feeding behavior in juvenile fish. Journal of Peptide Science. 16(11). 633–643. 25 indexed citations
16.
Estrada, Mario Pablo, Yamila Carpio, Eduardo Martínez, et al.. (2009). Tilapia somatotropin polypeptides: potent enhancers of fish growth and innate immunity. SHILAP Revista de lepidopterología. 26(3). 267–272. 5 indexed citations
17.
Martı́nez, Rebeca, et al.. (2006). Acuabio 1 estimula el metabolismo anaerobio y el sistema inmune innato de las larvas de goldfish y tilapia. Biotecnología aplicada. 23(4). 287–293. 2 indexed citations
18.
Carpio, Yamila, Jannel Acosta, Antonio Morales, et al.. (2005). Cloning, expression and growth promoting action of Red tilapia (Oreochromis sp.) neuropeptide Y. Peptides. 27(4). 710–718. 28 indexed citations
19.
Martı́nez, Rebeca, et al.. (1998). Caracterización del fondo genético de la línea de supertilapias IG-03-F70. I. Caracteres morfométricos, merísticos y análisis de ADN. Biotecnología aplicada. 15(1). 15–21. 1 indexed citations
20.
Martı́nez, Rebeca, et al.. (1995). Towards growth manipulation in tilapia (Oreochromis sp. ) : generation of transgenic tilapia with chimeric constructs containing tilapia growth hormone cDNA. 3(1). 216–219. 9 indexed citations

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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