Michèle Dehaupas

708 total citations
9 papers, 604 citations indexed

About

Michèle Dehaupas is a scholar working on Molecular Biology, Surgery and Biomedical Engineering. According to data from OpenAlex, Michèle Dehaupas has authored 9 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Surgery and 3 papers in Biomedical Engineering. Recurrent topics in Michèle Dehaupas's work include Muscle Physiology and Disorders (7 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Protease and Inhibitor Mechanisms (2 papers). Michèle Dehaupas is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Protease and Inhibitor Mechanisms (2 papers). Michèle Dehaupas collaborates with scholars based in France. Michèle Dehaupas's co-authors include Michel Fardeau, Hala S. Alameddine, Sylvie Lachkar, Jean‐Guy Fournier, Martine Verdière‐Sahuqué, C. Lafuma, C Delaporte, Christophe Créminon, Tatyana Merkulova‐Rainon and Angélica Keller and has published in prestigious journals such as Developmental Biology, European Journal of Biochemistry and Journal of the Neurological Sciences.

In The Last Decade

Michèle Dehaupas

9 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michèle Dehaupas France 8 477 178 112 87 82 9 604
Jean Gautron France 10 409 0.9× 163 0.9× 35 0.3× 70 0.8× 141 1.7× 14 585
Dmitri Gourevitch United States 14 300 0.6× 157 0.9× 80 0.7× 73 0.8× 61 0.7× 16 647
Rodolphe G. Lopez France 7 485 1.0× 68 0.4× 82 0.7× 78 0.9× 56 0.7× 8 850
Marilyn Davies Australia 15 663 1.4× 145 0.8× 40 0.4× 114 1.3× 137 1.7× 20 843
Juan Carlos Casar Chile 13 634 1.3× 111 0.6× 230 2.1× 73 0.8× 147 1.8× 25 834
Chiemi Takenaka Japan 16 483 1.0× 158 0.9× 64 0.6× 106 1.2× 44 0.5× 23 728
Claude Guérin Canada 9 360 0.8× 62 0.3× 58 0.5× 26 0.3× 61 0.7× 11 455
Virginie Jacquemin France 9 521 1.1× 107 0.6× 39 0.3× 70 0.8× 87 1.1× 11 611
Jamie I. Morrison Sweden 10 508 1.1× 153 0.9× 41 0.4× 62 0.7× 50 0.6× 21 616
Meryem B. Baghdadi France 8 435 0.9× 166 0.9× 44 0.4× 75 0.9× 61 0.7× 8 565

Countries citing papers authored by Michèle Dehaupas

Since Specialization
Citations

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

Fields of papers citing papers by Michèle Dehaupas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michèle Dehaupas

This figure shows the co-authorship network connecting the top 25 collaborators of Michèle Dehaupas. A scholar is included among the top collaborators of Michèle Dehaupas 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 Michèle Dehaupas. Michèle Dehaupas 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.
Merkulova‐Rainon, Tatyana, Michèle Dehaupas, Marie‐Claire Nevers, et al.. (2000). Differential modulation of α, β and γ enolase isoforms in regenerating mouse skeletal muscle. European Journal of Biochemistry. 267(12). 3735–3743. 68 indexed citations
2.
Lafuma, C., Michèle Dehaupas, Sylvie Lachkar, et al.. (1999). Expression of Matrix Metalloproteinases 2 and 9 in Regenerating Skeletal Muscle: A Study in Experimentally Injured andmdxMuscles. Developmental Biology. 205(1). 158–170. 257 indexed citations
3.
Cifuentes-Díaz, Carmen, M.‐A. Nicolet, Hala S. Alameddine, et al.. (1995). M-cadherin localization in developing adult and regenerating mouse skeletal muscle: possible involvement in secondary myogenesis. Mechanisms of Development. 50(1). 85–97. 46 indexed citations
4.
Alameddine, Hala S., et al.. (1994). Functional Recovery Induced by Satellite Cell Grafts in Irreversibly Injured Muscles. Cell Transplantation. 3(1). 3–14. 47 indexed citations
5.
Alameddine, Hala S., Béatrice Quantin, Annie Cartaud, et al.. (1994). Expression of a recombinant dystrophin in mdx mice using adenovirus vector. Neuromuscular Disorders. 4(3). 193–203. 23 indexed citations
6.
Alameddine, Hala S., et al.. (1991). Role of persisting basement membrane in the reorganization of myofibres originating from myogenic cell grafts in the rat. Neuromuscular Disorders. 1(2). 143–152. 13 indexed citations
7.
Alameddine, Hala S., Michèle Dehaupas, & Michel Fardeau. (1989). Regeneration of skeletal muscle fibers from autologous satellite cells multiplied in vitro. An experimental model for testing cultured cell myogenicity. Muscle & Nerve. 12(7). 544–555. 79 indexed citations
8.
Delaporte, C, Michèle Dehaupas, & Michel Fardeau. (1984). Comparison between the growth pattern of cell cultures from normal and Duchenne dystrophy muscle. Journal of the Neurological Sciences. 64(2). 149–160. 68 indexed citations
9.
Auroux, M & Michèle Dehaupas. (1970). [Effect of maternal nutrition on the late development of the central nervous system of the progeny. I. Amelioration, in the rat, of the learning ability of the progeny by alcoholization of the mother].. PubMed. 164(7). 1432–6. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026