Damien Naslain

4.7k total citations · 3 hit papers
16 papers, 3.8k citations indexed

About

Damien Naslain is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Damien Naslain has authored 16 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 5 papers in Cell Biology and 4 papers in Molecular Biology. Recurrent topics in Damien Naslain's work include High Altitude and Hypoxia (4 papers), Muscle metabolism and nutrition (4 papers) and Diet and metabolism studies (4 papers). Damien Naslain is often cited by papers focused on High Altitude and Hypoxia (4 papers), Muscle metabolism and nutrition (4 papers) and Diet and metabolism studies (4 papers). Damien Naslain collaborates with scholars based in Belgium, United Kingdom and France. Damien Naslain's co-authors include Patrice D. Cani, Nathalie M. Delzenne, Giulio G. Muccioli, Audrey M. Neyrinck, Sam Possemiers, Tom Van de Wiele, Yves Guiot, Amandine Everard, Lucie Geurts and D.M. Lambert and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Gut.

In The Last Decade

Damien Naslain

16 papers receiving 3.7k citations

Hit Papers

Changes in gut microbiota control inflammation in obese m... 2009 2026 2014 2020 2009 2009 2010 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Damien Naslain Belgium 15 2.3k 2.0k 610 550 517 16 3.8k
Hubert Plovier Belgium 20 2.7k 1.2× 1.7k 0.8× 453 0.7× 446 0.8× 434 0.8× 22 4.0k
Fernando Cardona Spain 33 2.7k 1.2× 2.0k 1.0× 690 1.1× 649 1.2× 708 1.4× 98 5.4k
Edward S. Chambers United Kingdom 29 2.1k 0.9× 2.2k 1.1× 333 0.5× 736 1.3× 667 1.3× 64 4.5k
Kristina Martinez United States 27 2.2k 0.9× 1.6k 0.8× 628 1.0× 307 0.6× 655 1.3× 41 4.0k
Matteo Sérino France 31 3.4k 1.4× 2.0k 1.0× 940 1.5× 540 1.0× 419 0.8× 55 5.5k
Hosana Gomes Rodrigues Brazil 26 1.8k 0.8× 1.3k 0.6× 475 0.8× 478 0.9× 908 1.8× 45 4.4k
Johan W. E. Jocken Netherlands 33 2.6k 1.1× 3.5k 1.7× 1.3k 2.2× 723 1.3× 647 1.3× 69 5.9k
Emanuel E. Canfora Netherlands 20 3.8k 1.6× 3.0k 1.5× 728 1.2× 765 1.4× 994 1.9× 37 5.8k
Anne Sofie Andreasen Denmark 13 2.1k 0.9× 1.2k 0.6× 363 0.6× 335 0.6× 297 0.6× 24 3.1k
Aurélia Bruneau France 24 2.7k 1.1× 1.3k 0.7× 828 1.4× 336 0.6× 498 1.0× 44 3.8k

Countries citing papers authored by Damien Naslain

Since Specialization
Citations

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

Fields of papers citing papers by Damien Naslain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damien Naslain

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

All Works

16 of 16 papers shown
1.
Benoît, Nicolas, Damien Naslain, Matthew S. Brook, et al.. (2021). Higher strength gain after hypoxic vs normoxic resistance training despite no changes in muscle thickness and fractional protein synthetic rate. The FASEB Journal. 35(8). e21773–e21773. 11 indexed citations
2.
Balan, Estelle, Nikenza Viceconte, Damien Naslain, et al.. (2020). No effect of the endurance training status on senescence despite reduced inflammation in skeletal muscle of older individuals. American Journal of Physiology-Endocrinology and Metabolism. 319(2). E447–E454. 14 indexed citations
3.
Naslain, Damien, et al.. (2020). Effects of Sprint Interval Training at Different Altitudes on Cycling Performance at Sea-Level. Sports. 8(11). 148–148. 15 indexed citations
4.
Balan, Estelle, et al.. (2019). Regular Endurance Exercise Promotes Fission, Mitophagy, and Oxidative Phosphorylation in Human Skeletal Muscle Independently of Age. Frontiers in Physiology. 10. 1088–1088. 74 indexed citations
5.
Fernández‐Verdejo, Rodrigo, Matthew S. Brook, Damien Naslain, et al.. (2018). Environmental hypoxia favors myoblast differentiation and fast phenotype but blunts activation of protein synthesis after resistance exercise in human skeletal muscle. The FASEB Journal. 32(10). 5272–5284. 22 indexed citations
6.
Rodriguez, Julie, Nicolas Pierre, Damien Naslain, et al.. (2017). Urolithin B, a newly identified regulator of skeletal muscle mass. Journal of Cachexia Sarcopenia and Muscle. 8(4). 583–597. 53 indexed citations
7.
D’Hulst, Gommaar, Alessandra Ferri, Damien Naslain, et al.. (2016). Fifteen days of 3,200 m simulated hypoxia marginally regulates markers for protein synthesis and degradation in human skeletal muscle. PubMed. 4. 1–1. 14 indexed citations
8.
Francaux, Marc, Bénédicte Demeulder, Damien Naslain, et al.. (2016). Aging Reduces the Activation of the mTORC1 Pathway after Resistance Exercise and Protein Intake in Human Skeletal Muscle: Potential Role of REDD1 and Impaired Anabolic Sensitivity. Nutrients. 8(1). 47–47. 58 indexed citations
9.
Jamart, Cécile, Nicolas Benoît, Damien Naslain, et al.. (2015). Activation of autophagy in human skeletal muscle is dependent on exercise intensity and AMPK activation. The FASEB Journal. 29(8). 3515–3526. 141 indexed citations
10.
Rodriguez, Julie, H. Gilson, Cécile Jamart, et al.. (2014). Pomegranate and green tea extracts protect against ER stress induced by a high-fat diet in skeletal muscle of mice. European Journal of Nutrition. 54(3). 377–389. 28 indexed citations
11.
Pierre, Nicolas, Louise Deldicque, Caroline Barbé, et al.. (2013). Toll-Like Receptor 4 Knockout Mice Are Protected against Endoplasmic Reticulum Stress Induced by a High-Fat Diet. PLoS ONE. 8(5). e65061–e65061. 88 indexed citations
12.
Jamart, Cécile, Damien Naslain, H. Gilson, & Marc Francaux. (2013). Higher activation of autophagy in skeletal muscle of mice during endurance exercise in the fasted state. American Journal of Physiology-Endocrinology and Metabolism. 305(8). E964–E974. 114 indexed citations
13.
Duparc, Thibaut, Damien Naslain, André Colom, et al.. (2010). Jejunum Inflammation in Obese and Diabetic Mice Impairs Enteric Glucose Detection and Modifies Nitric Oxide Release in the Hypothalamus. Antioxidants and Redox Signaling. 14(3). 415–423. 37 indexed citations
14.
Muccioli, Giulio G., Damien Naslain, Fredrik Bäckhed, et al.. (2010). The endocannabinoid system links gut microbiota to adipogenesis. Molecular Systems Biology. 6(1). 392–392. 547 indexed citations breakdown →
15.
Cani, Patrice D., Evelyne Dewulf, Florence Sohet, et al.. (2009). Gut microbiota fermentation of prebiotics increases satietogenic and incretin gut peptide production with consequences for appetite sensation and glucose response after a meal. American Journal of Clinical Nutrition. 90(5). 1236–1243. 561 indexed citations breakdown →
16.
Cani, Patrice D., Sam Possemiers, Tom Van de Wiele, et al.. (2009). Changes in gut microbiota control inflammation in obese mice through a mechanism involving GLP-2-driven improvement of gut permeability. Gut. 58(8). 1091–1103. 1999 indexed citations breakdown →

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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