Nadia Charifi

1.5k total citations
9 papers, 1.2k citations indexed

About

Nadia Charifi is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Nadia Charifi has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Surgery. Recurrent topics in Nadia Charifi's work include Muscle Physiology and Disorders (7 papers), Exercise and Physiological Responses (3 papers) and Spaceflight effects on biology (3 papers). Nadia Charifi is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Exercise and Physiological Responses (3 papers) and Spaceflight effects on biology (3 papers). Nadia Charifi collaborates with scholars based in Sweden, France and Denmark. Nadia Charifi's co-authors include Fawzi Kadi, Christian Denis, Jan Lexell, Léonard Féasson, Jesper L. Andersen, Peter Schjerling, Lasse Ring Christensen, Jan Henriksson, Lars L. Andersen and Jørgen Madsen and has published in prestigious journals such as The Journal of Physiology, Pflügers Archiv - European Journal of Physiology and Muscle & Nerve.

In The Last Decade

Nadia Charifi

9 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadia Charifi Sweden 9 856 484 411 251 160 9 1.2k
Ingrid M. Egner Norway 12 733 0.9× 399 0.8× 293 0.7× 385 1.5× 127 0.8× 15 1.2k
Christophe Hourdé France 22 1.0k 1.2× 385 0.8× 248 0.6× 130 0.5× 134 0.8× 50 1.3k
M Hameed United Kingdom 9 656 0.8× 305 0.6× 433 1.1× 197 0.8× 58 0.4× 15 982
M. Wehling United States 8 912 1.1× 370 0.8× 207 0.5× 258 1.0× 128 0.8× 12 1.1k
S. O.A. Koskinen Finland 17 465 0.5× 246 0.5× 256 0.6× 312 1.2× 150 0.9× 21 925
Léonard Feasson France 11 534 0.6× 206 0.4× 161 0.4× 152 0.6× 57 0.4× 17 747
Erik P. Rader United States 13 608 0.7× 255 0.5× 116 0.3× 223 0.9× 63 0.4× 28 791
Eric J. Stevenson United States 8 888 1.0× 402 0.8× 244 0.6× 225 0.9× 43 0.3× 8 1.1k
Thea Shavlakadze Australia 16 861 1.0× 356 0.7× 237 0.6× 200 0.8× 100 0.6× 21 1.1k
Kathleen M. McCormick United States 11 667 0.8× 212 0.4× 146 0.4× 134 0.5× 173 1.1× 18 885

Countries citing papers authored by Nadia Charifi

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Charifi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Charifi

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Charifi. A scholar is included among the top collaborators of Nadia Charifi 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 Nadia Charifi. Nadia Charifi 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.
Mackey, Abigail L., Michael Kjær, Nadia Charifi, et al.. (2009). Assessment of satellite cell number and activity status in human skeletal muscle biopsies. Muscle & Nerve. 40(3). 455–465. 139 indexed citations
2.
Verney, Julien, Fawzi Kadi, Nadia Charifi, et al.. (2008). Effects of combined lower body endurance and upper body resistance training on the satellite cell pool in elderly subjects. Muscle & Nerve. 38(3). 1147–1154. 121 indexed citations
3.
Charifi, Nadia, Julien Verney, Vincent Pichot, et al.. (2006). Effect of endurance training on muscle microvascular filtration capacity and vascular bed morphometry in the elderly. Acta Physiologica. 187(3). 399–406. 41 indexed citations
4.
Kadi, Fawzi, Nadia Charifi, & Jan Henriksson. (2005). The number of satellite cells in slow and fast fibres from human vastus lateralis muscle. Histochemistry and Cell Biology. 126(1). 83–87. 56 indexed citations
5.
Kadi, Fawzi, Nadia Charifi, Christian Denis, et al.. (2005). The behaviour of satellite cells in response to exercise: what have we learned from human studies?. Pflügers Archiv - European Journal of Physiology. 451(2). 319–327. 133 indexed citations
6.
Kadi, Fawzi, Peter Schjerling, Lars L. Andersen, et al.. (2004). The effects of heavy resistance training and detraining on satellite cells in human skeletal muscles. The Journal of Physiology. 558(3). 1005–1012. 274 indexed citations
7.
Kadi, Fawzi, Nadia Charifi, Christian Denis, & Jan Lexell. (2003). Satellite cells and myonuclei in young and elderly women and men. Muscle & Nerve. 29(1). 120–127. 212 indexed citations
8.
Charifi, Nadia, Fawzi Kadi, Léonard Féasson, et al.. (2003). Enhancement of microvessel tortuosity in the vastus lateralis muscle of old men in response to endurance training. The Journal of Physiology. 554(2). 559–569. 65 indexed citations
9.
Charifi, Nadia, Fawzi Kadi, Léonard Féasson, & Christian Denis. (2003). Effects of endurance training on satellite cell frequency in skeletal muscle of old men. Muscle & Nerve. 28(1). 87–92. 121 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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