Javier Díaz‐Lara

433 total citations
17 papers, 323 citations indexed

About

Javier Díaz‐Lara is a scholar working on Cell Biology, Pharmacology and Orthopedics and Sports Medicine. According to data from OpenAlex, Javier Díaz‐Lara has authored 17 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cell Biology, 6 papers in Pharmacology and 6 papers in Orthopedics and Sports Medicine. Recurrent topics in Javier Díaz‐Lara's work include Muscle metabolism and nutrition (10 papers), Coffee research and impacts (6 papers) and Sports Performance and Training (6 papers). Javier Díaz‐Lara is often cited by papers focused on Muscle metabolism and nutrition (10 papers), Coffee research and impacts (6 papers) and Sports Performance and Training (6 papers). Javier Díaz‐Lara collaborates with scholars based in Spain, Australia and United States. Javier Díaz‐Lara's co-authors include Juan Del Coso, Javier Abián‐Vicén, Leonardo Vidal Andreato, Alexandro Andrade, Bráulio Henrique Magnani Branco, Francisco Areces, Sergio Lorenzo Jiménez Sáiz, Hélios Pareja-Galeano, Javier Portillo and Jozo Grgić and has published in prestigious journals such as Nature Communications, Sports Medicine and Critical Reviews in Food Science and Nutrition.

In The Last Decade

Javier Díaz‐Lara

14 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Javier Díaz‐Lara Spain	8	151	131	130	76	54	17	323
Leandro C. Felippe Brazil	10	191 1.3×	111 0.8×	96 0.7×	107 1.4×	58 1.1×	14	332
Bruno Victor Corrêa da Silva Brazil	10	58 0.4×	42 0.3×	186 1.4×	79 1.0×	41 0.8×	26	313
João Paulo Lopes‐Silva Brazil	15	295 2.0×	123 0.9×	342 2.6×	147 1.9×	132 2.4×	44	639
Michał Spieszny Poland	13	58 0.4×	35 0.3×	231 1.8×	44 0.6×	37 0.7×	47	381
Maria Augusta P. D. Kiss Brazil	10	169 1.1×	45 0.3×	312 2.4×	80 1.1×	69 1.3×	41	454
Daniel Muniz‐Pumares United Kingdom	11	113 0.7×	62 0.5×	234 1.8×	48 0.6×	81 1.5×	27	430
Jennifer Ellison United States	8	119 0.8×	103 0.8×	65 0.5×	22 0.3×	107 2.0×	22	406
Alejandro Muñoz Spain	12	176 1.2×	109 0.8×	204 1.6×	46 0.6×	53 1.0×	35	422
Borja Muñiz-Pardos Spain	14	105 0.7×	30 0.2×	216 1.7×	62 0.8×	149 2.8×	37	458
Richard A. Lockey United Kingdom	7	154 1.0×	113 0.9×	467 3.6×	106 1.4×	40 0.7×	13	648

Countries citing papers authored by Javier Díaz‐Lara

Since Specialization

Citations

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

Fields of papers citing papers by Javier Díaz‐Lara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Díaz‐Lara

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

All Works

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17 of 17 papers shown

Aguilar‐Navarro, Millán, et al.. (2025). Anti-Doping Knowledge Among Medical Bachelor’s Degree Students in Mexico. Healthcare. 13(7). 742–742.

Botella, Javier, Enrico Perri, Nikeisha J. Caruana, et al.. (2025). Sprint interval exercise disrupts mitochondrial ultrastructure driving a unique mitochondrial stress response and remodelling in men. Nature Communications. 17(1). 71–71.

Abián, Pablo, et al.. (2025). Exploring the Relationship Between Vertical Jump and Short Sprint Performance in Female Basketball Players. Applied Sciences. 15(9). 4868–4868.

Bravo‐Sànchez, Alfredo, et al.. (2025). Impact of Caffeine Intake on Female Basketball Players’ Performance. Nutrients. 17(2). 235–235. 1 indexed citations

Díaz‐Lara, Javier, et al.. (2024). Responses to Exercise with Low Carbohydrate Availability on Muscle Glycogen and Cell Signaling: A Systematic Review and Meta-analysis. Sports Medicine. 55(1). 79–100. 2 indexed citations

Díaz‐Lara, Javier, et al.. (2024). Can Caffeine Change the Game? Effects of Acute Caffeine Intake on Specific Performance in Intermittent Sports During Competition: A Systematic Review and Meta-Analysis. International Journal of Sports Physiology and Performance. 19(11). 1180–1196. 4 indexed citations

Díaz‐Lara, Javier, David J. Bishop, José Fernández‐Sáez, et al.. (2024). A Five-Week Periodized Carbohydrate Diet Does Not Improve Maximal Lactate Steady-State Exercise Capacity and Substrate Oxidation in Well-Trained Cyclists compared to a High-Carbohydrate Diet. Nutrients. 16(2). 318–318. 2 indexed citations

Díaz‐Lara, Javier, et al.. (2024). Delaying post‐exercise carbohydrate intake impairs next‐day exercise capacity but not muscle glycogen or molecular responses. Acta Physiologica. 240(10). e14215–e14215. 6 indexed citations

Romero‐Moraleda, Blanca, et al.. (2023). A Systematic Review and Meta-Analysis of the Differences in Mean Propulsive Velocity between Men and Women in Different Exercises. Sports. 11(6). 118–118. 12 indexed citations

10.

Díaz‐Lara, Javier, Jozo Grgić, Daniele Detanico, et al.. (2022). Effects of acute caffeine intake on combat sports performance: A systematic review and meta-analysis. Critical Reviews in Food Science and Nutrition. 63(29). 9859–9874. 17 indexed citations

11.

Sáiz, Sergio Lorenzo Jiménez, Javier Díaz‐Lara, Hélios Pareja-Galeano, & Juan Del Coso. (2021). Caffeinated Drinks and Physical Performance in Sport: A Systematic Review. Nutrients. 13(9). 2944–2944. 33 indexed citations

12.

Grgić, Jozo, Javier Díaz‐Lara, Juan Del Coso, et al.. (2020). The Effects of Caffeine Ingestion on Measures of Rowing Performance: A Systematic Review and Meta-Analysis. Nutrients. 12(2). 434–434. 18 indexed citations

13.

Andreato, Leonardo Vidal, Javier Díaz‐Lara, Alexandro Andrade, & Bráulio Henrique Magnani Branco. (2017). Physical and Physiological Profiles of Brazilian Jiu-Jitsu Athletes: a Systematic Review. Sports Medicine - Open. 3(1). 9–9. 87 indexed citations

14.

Díaz‐Lara, Javier, et al.. (2016). Caffeine improves muscular performance in elite Brazilian Jiu‐jitsu athletes. European Journal of Sport Science. 16(8). 1079–1086. 75 indexed citations

15.

Díaz‐Lara, Javier, et al.. (2015). Analysis of physiological determinants during an international Brazilian Jiu-jitsu competition. International Journal of Performance Analysis in Sport. 15(2). 489–500. 24 indexed citations

16.

Díaz‐Lara, Javier, et al.. (2015). Enhancement of High-Intensity Actions and Physical Performance During a Simulated Brazilian Jiu-Jitsu Competition With a Moderate Dose of Caffeine. International Journal of Sports Physiology and Performance. 11(7). 861–867. 35 indexed citations

17.

Díaz‐Lara, Javier, et al.. (2014). Body composition,isometric hand grip, and explosive stregth leg-similitarities and differences between novices and experts in an international competition of Brazilian jiu jiutsu. Archives of Budo. 10. 7 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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