J. Chavarren

1.0k total citations
9 papers, 787 citations indexed

About

J. Chavarren is a scholar working on Orthopedics and Sports Medicine, Complementary and alternative medicine and Physiology. According to data from OpenAlex, J. Chavarren has authored 9 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Orthopedics and Sports Medicine, 4 papers in Complementary and alternative medicine and 3 papers in Physiology. Recurrent topics in J. Chavarren's work include Sports Performance and Training (6 papers), Cardiovascular and exercise physiology (4 papers) and Sports injuries and prevention (2 papers). J. Chavarren is often cited by papers focused on Sports Performance and Training (6 papers), Cardiovascular and exercise physiology (4 papers) and Sports injuries and prevention (2 papers). J. Chavarren collaborates with scholars based in Spain and Nicaragua. J. Chavarren's co-authors include José A. L. Calbet, Cecilia Dorado, Jorge Pérez‐Gómez, Ignacio Ara, Germán Vicente‐Rodríguez, Hugo Olmedillas, Nuria Garatachea, José António de Paz Fernández, Juan José González and Alfredo Santana and has published in prestigious journals such as Journal of Applied Physiology, British Journal Of Nutrition and European Journal of Applied Physiology.

In The Last Decade

J. Chavarren

9 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Chavarren Spain 9 543 287 172 170 131 9 787
Ismael Pérez-Suárez Spain 13 377 0.7× 277 1.0× 177 1.0× 177 1.0× 63 0.5× 19 746
Pietro di Prampero Italy 7 453 0.8× 293 1.0× 147 0.9× 168 1.0× 66 0.5× 8 723
J. R. Lacour France 16 469 0.9× 450 1.6× 86 0.5× 194 1.1× 78 0.6× 27 867
L. Paavolainen Finland 13 1.3k 2.3× 657 2.3× 416 2.4× 128 0.8× 135 1.0× 18 1.5k
J. Lon Kilgore United States 13 579 1.1× 133 0.5× 232 1.3× 118 0.7× 42 0.3× 28 841
Andrew J. Cathcart United Kingdom 7 342 0.6× 465 1.6× 183 1.1× 226 1.3× 25 0.2× 13 712
Eileen Y. Robertson Australia 15 279 0.5× 385 1.3× 130 0.8× 86 0.5× 322 2.5× 22 818
H. J. Green Canada 12 457 0.8× 274 1.0× 154 0.9× 160 0.9× 44 0.3× 14 769
Jonathan Esteve-Lanao Spain 17 940 1.7× 564 2.0× 166 1.0× 148 0.9× 198 1.5× 33 1.3k
Jean-Pierre Koralsztein France 8 855 1.6× 801 2.8× 159 0.9× 148 0.9× 104 0.8× 11 1.2k

Countries citing papers authored by J. Chavarren

Since Specialization
Citations

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

Fields of papers citing papers by J. Chavarren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Chavarren

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

All Works

9 of 9 papers shown
1.
Guadalupe‐Grau, Amelia, Jorge Pérez‐Gómez, Hugo Olmedillas, et al.. (2009). Strength training combined with plyometric jumps in adults: sex differences in fat-bone axis adaptations. Journal of Applied Physiology. 106(4). 1100–1111. 48 indexed citations
2.
Pérez‐Gómez, Jorge, Hugo Olmedillas, Ignacio Ara, et al.. (2008). Effects of weight lifting training combined with plyometric exercises on physical fitness, body composition, and knee extension velocity during kicking in football. Applied Physiology Nutrition and Metabolism. 33(3). 501–510. 83 indexed citations
3.
Pérez‐Gómez, Jorge, Germán Vicente‐Rodríguez, Ignacio Ara, et al.. (2007). Role of muscle mass on sprint performance: gender differences?. European Journal of Applied Physiology. 102(6). 685–694. 175 indexed citations
4.
Ara, Ignacio, Jorge Pérez‐Gómez, Germán Vicente‐Rodríguez, et al.. (2006). Serum free testosterone, leptin and soluble leptin receptor changes in a 6-week strength-training programme. British Journal Of Nutrition. 96(6). 1053–1059. 43 indexed citations
5.
Calbet, José A. L., et al.. (2003). Anaerobic energy provision does not limit Wingate exercise performance in endurance-trained cyclists. Journal of Applied Physiology. 94(2). 668–676. 150 indexed citations
6.
Calbet, José A. L., J. Chavarren, & Cecilia Dorado. (2001). Running economy and delayed onset muscle soreness.. PubMed. 41(1). 18–26. 18 indexed citations
7.
Dorado, Cecilia, et al.. (2000). Reliability of jumping performance in active men and women under different stretch loading conditions.. PubMed. 40(1). 26–34. 62 indexed citations
8.
Chavarren, J. & José A. L. Calbet. (1999). Cycling efficiency and pedalling frequency in road cyclists. PubMed. 80(6). 555–563. 143 indexed citations
9.
Calbet, José A. L., J. Chavarren, & Cecilia Dorado. (1997). Fractional use of anaerobic capacity during a 30- and a 45-s Wingate test. European Journal of Applied Physiology. 76(4). 308–313. 65 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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