Javier Puente

2.4k total citations
98 papers, 1.8k citations indexed

About

Javier Puente is a scholar working on Immunology, Molecular Biology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Javier Puente has authored 98 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 16 papers in Molecular Biology and 15 papers in Industrial and Manufacturing Engineering. Recurrent topics in Javier Puente's work include Scheduling and Optimization Algorithms (13 papers), Immune Cell Function and Interaction (10 papers) and Oral microbiology and periodontitis research (9 papers). Javier Puente is often cited by papers focused on Scheduling and Optimization Algorithms (13 papers), Immune Cell Function and Interaction (10 papers) and Oral microbiology and periodontitis research (9 papers). Javier Puente collaborates with scholars based in Chile, Spain and United States. Javier Puente's co-authors include Paolo Priore, David de la Fuente, Alberto Gómez Gómez, Jorge Gamonal, Rolando Vernal, Nicolás Dutzan, María Antonieta Valenzuela, Alejandra Chaparro, Raúl Pino Díez and Marion E. Wolf and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical Journal and Biological Psychiatry.

In The Last Decade

Javier Puente

91 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Puente Chile 22 407 349 322 279 200 98 1.8k
Chung‐Ho Chen Taiwan 26 317 0.8× 255 0.7× 376 1.2× 39 0.1× 253 1.3× 239 2.7k
Sunju Park South Korea 25 11 0.0× 149 0.4× 471 1.5× 154 0.6× 139 0.7× 180 2.1k
Abhishek Gupta India 17 49 0.1× 30 0.1× 70 0.2× 30 0.1× 19 0.1× 180 1.2k
Hyun Joong Yoon South Korea 18 5 0.0× 370 1.1× 381 1.2× 123 0.4× 56 0.3× 63 1.6k
Hiroshi Katayama Japan 18 5 0.0× 398 1.1× 126 0.4× 130 0.5× 123 0.6× 78 1.3k
Hong‐Gee Kim South Korea 23 45 0.1× 7 0.0× 341 1.1× 52 0.2× 57 0.3× 151 1.8k
Ying‐Ju Chen Taiwan 27 11 0.0× 13 0.0× 719 2.2× 54 0.2× 71 0.4× 122 2.5k
Roger Smith United States 27 6 0.0× 25 0.1× 1.4k 4.3× 86 0.3× 106 0.5× 102 4.4k
Yanming Sun China 21 3 0.0× 358 1.0× 263 0.8× 75 0.3× 62 0.3× 80 1.9k
Hirofumi Matsuo Japan 33 4 0.0× 611 1.8× 382 1.2× 58 0.2× 300 1.5× 181 4.5k

Countries citing papers authored by Javier Puente

Since Specialization
Citations

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

Fields of papers citing papers by Javier Puente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Puente

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Puente. A scholar is included among the top collaborators of Javier Puente 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 Javier Puente. Javier Puente 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.
Fernández, Isabel, Javier Puente, Borja Ponte, & Alberto Gómez Gómez. (2024). Integration of AHP and fuzzy inference systems for empowering transformative journeys in organizations: Assessing the implementation of Industry 4.0 in SMEs. Applied Intelligence. 54(23). 12357–12377. 1 indexed citations
2.
Regaliza, Julio César Puche, et al.. (2024). Pipes and puddles framework: Risk management in manufacturing processes to reduce the total cost of quality. Journal of Industrial Engineering and Management. 17(1). 35–35. 1 indexed citations
3.
Regaliza, Julio César Puche, et al.. (2021). Marco de evaluación de los sistemas de información de una organización manufacturera. Dirección y Organización. 20–30. 2 indexed citations
4.
Castro-López, Adrián, Javier Puente, & Rodolfo Vázquez‐Casielles. (2020). ¿Es leal el cliente de moda online? Claves de éxito para maximizar su lealtad en plataformas de venta online. Dirección y Organización. 68–77. 5 indexed citations
5.
Quintremil, Sebastián, Fernando Medina, Javier Puente, et al.. (2015). Tax and Semaphorin 4D Released from Lymphocytes Infected with Human Lymphotropic Virus Type 1 and Their Effect on Neurite Growth. AIDS Research and Human Retroviruses. 32(1). 68–79. 2 indexed citations
6.
7.
Puente, Javier, et al.. (2012). Evaluation of perceived security in B2C web sites by means of a FDSS. International Conference on Artificial Intelligence. 1 indexed citations
8.
Dutzan, Nicolás, J García-Sesnich, Oriana Rivera‐Lozada, et al.. (2011). Levels of Interleukin‐21 in Patients With Untreated Chronic Periodontitis. Journal of Periodontology. 82(10). 1483–1489. 17 indexed citations
9.
10.
Medina, Fernando, Andrés Barriga, Lorena Garcı́a, et al.. (2009). Comparative Study of CSF Neurofilaments in HTLV-1-Associated Myelopathy/Tropical Spastic Paraparesis and Other Neurological Disorders. AIDS Research and Human Retroviruses. 25(8). 803–809. 3 indexed citations
11.
Mosnaim, Aron D., et al.. (2008). Degradation Kinetics of Methionine5-Enkephalin by Select Brain Areas From Patients With Chronic Schizophrenia. American Journal of Therapeutics. 15(2). 126–130. 6 indexed citations
12.
Ortiz-Riaño, Emilio, et al.. (2008). Application of capillary electrophoresis for the identification of Atlantic salmon and rainbow trout under raw and heat treatment.. PubMed. 10(5-6). 93–9. 3 indexed citations
13.
Chaparro, Alejandra, et al.. (2007). Stimulatory response of neutrophils from periodontitis patients with periodontal pathogens. Oral Diseases. 13(5). 474–481. 19 indexed citations
14.
Fuente, David de la, et al.. (2007). On macroeconomic characteristics of pharmaceutical generics and the potential for manufacturing and consumption under fuzzy conditions. Artificial Intelligence in Medicine. 41(3). 223–235. 11 indexed citations
15.
Fuente, David de la, et al.. (2002). Utilización de las Redes Neuronales en la toma de decisiones. Aplicación en un problema de secuenciación. 79(6). 28–34. 2 indexed citations
16.
Priore, Paolo, David de la Fuente, Raúl Pino Díez, & Javier Puente. (2002). Utilización del razonamiento basado en casos en la toma de decisiones. Aplicación en un problema de secuenciación. Dirección y Organización. 1 indexed citations
17.
18.
Puente, Javier & J. A. Marín. (1997). In vitro rootability of clonal apple microcuttings, derived from rooted and unrooted shoots. Scientia Horticulturae. 68(1-4). 227–230. 6 indexed citations
19.
Puente, Javier, et al.. (1997). ENHANCEMENT OF NATURAL KILLER CELL ACTIVITY IN HIV-1-INFECTED SUBJECTS BY A MIXTURE OF THE CALCIUM IONOPHORE A23187 AND THE PHORBOL ESTER TPA. American Journal of Therapeutics. 4(11). 413–422. 4 indexed citations
20.
Mosnaim, Aron D., et al.. (1988). Studies of the in vitro human plasma degradation of methionine-enkephalin. General Pharmacology The Vascular System. 19(5). 729–733. 21 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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