Daniel Morvan

1.9k total citations
92 papers, 1.5k citations indexed

About

Daniel Morvan is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Daniel Morvan has authored 92 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 27 papers in Molecular Biology and 22 papers in Materials Chemistry. Recurrent topics in Daniel Morvan's work include Silicon and Solar Cell Technologies (15 papers), Metabolomics and Mass Spectrometry Studies (14 papers) and Cancer, Hypoxia, and Metabolism (14 papers). Daniel Morvan is often cited by papers focused on Silicon and Solar Cell Technologies (15 papers), Metabolomics and Mass Spectrometry Studies (14 papers) and Cancer, Hypoxia, and Metabolism (14 papers). Daniel Morvan collaborates with scholars based in France, United Kingdom and Morocco. Daniel Morvan's co-authors include Aïcha Demidem, Mathilde Bayet‐Robert, J. Amouroux, Anne Leroy‐Willig, J. C. Madelmont, Janine Papon, Thierry Laperche, R Gourgon, Alain Cohen‐Solal and Chantal Barthomeuf and has published in prestigious journals such as Circulation, PLoS ONE and Cancer Research.

In The Last Decade

Daniel Morvan

87 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Morvan France 22 518 355 196 179 178 92 1.5k
Yoichi Saitoh Japan 27 615 1.2× 88 0.2× 114 0.6× 167 0.9× 133 0.7× 271 3.4k
Toshihiro Takahashi Japan 23 650 1.3× 362 1.0× 180 0.9× 129 0.7× 257 1.4× 168 2.0k
Yosuke Watanabe Japan 27 567 1.1× 254 0.7× 182 0.9× 118 0.7× 508 2.9× 155 2.1k
Takayuki Ogawa Japan 26 532 1.0× 98 0.3× 60 0.3× 62 0.3× 460 2.6× 128 2.1k
Minoru Yamamoto Japan 25 395 0.8× 38 0.1× 159 0.8× 164 0.9× 109 0.6× 186 1.9k
Nobuo Nakamura Japan 30 427 0.8× 959 2.7× 123 0.6× 380 2.1× 745 4.2× 182 3.5k
E. M. Renkin United States 26 574 1.1× 186 0.5× 67 0.3× 46 0.3× 273 1.5× 44 2.7k
Chao Tian China 25 629 1.2× 39 0.1× 203 1.0× 72 0.4× 68 0.4× 109 2.0k
Kazuo Nakagawa Japan 29 543 1.0× 348 1.0× 245 1.3× 148 0.8× 32 0.2× 177 3.1k
Hiroshi Kamiyama Japan 21 479 0.9× 59 0.2× 95 0.5× 155 0.9× 148 0.8× 131 2.0k

Countries citing papers authored by Daniel Morvan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Morvan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Morvan

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

All Works

20 of 20 papers shown
2.
Privat, Maud, Nina Radosevic‐Robin, Corinne Aubel, et al.. (2014). BRCA1 Induces Major Energetic Metabolism Reprogramming in Breast Cancer Cells. PLoS ONE. 9(7). e102438–e102438. 62 indexed citations
3.
Bayet‐Robert, Mathilde & Daniel Morvan. (2013). Metabolomics Reveals Metabolic Targets and Biphasic Responses in Breast Cancer Cells Treated by Curcumin Alone and in Association with Docetaxel. PLoS ONE. 8(3). e57971–e57971. 52 indexed citations
4.
Morvan, Daniel & Aïcha Demidem. (2013). Metabolomics and transcriptomics demonstrate severe oxidative stress in both localized chemotherapy-treated and bystander tumors. Biochimica et Biophysica Acta (BBA) - General Subjects. 1840(3). 1092–1104. 6 indexed citations
6.
Bayet‐Robert, Mathilde, Dominique Loiseau, Pascale Rio, et al.. (2010). Quantitative two‐dimensional HRMAS 1H‐NMR spectroscopy‐based metabolite profiling of human cancer cell lines and response to chemotherapy. Magnetic Resonance in Medicine. 63(5). 1172–1183. 44 indexed citations
7.
Bayet‐Robert, Mathilde, et al.. (2010). Biochemical disorders induced by cytotoxic marine natural products in breast cancer cells as revealed by proton NMR spectroscopy-based metabolomics. Biochemical Pharmacology. 80(8). 1170–1179. 27 indexed citations
8.
Bayet‐Robert, Mathilde, Daniel Morvan, P. Chollet, & Chantal Barthomeuf. (2009). Pharmacometabolomics of docetaxel-treated human MCF7 breast cancer cells provides evidence of varying cellular responses at high and low doses. Breast Cancer Research and Treatment. 120(3). 613–626. 37 indexed citations
9.
Loiseau, Dominique, Daniel Morvan, Arnaud Chevrollier, et al.. (2009). Mitochondrial bioenergetic background confers a survival advantage to HepG2 cells in response to chemotherapy. Molecular Carcinogenesis. 48(8). 733–741. 21 indexed citations
10.
Demidem, Aïcha, Daniel Morvan, & J. C. Madelmont. (2006). Bystander effects are induced by CENU treatment and associated with altered protein secretory activity of treated tumor cells A relay for chemotherapy?. International Journal of Cancer. 119(5). 992–1004. 35 indexed citations
11.
Morvan, Daniel, Aïcha Demidem, Janine Papon, & J. C. Madelmont. (2003). Quantitative HRMAS proton total correlation spectroscopy applied to cultured melanoma cells treated by chloroethyl nitrosourea: Demonstration of phospholipid metabolism alterations. Magnetic Resonance in Medicine. 49(2). 241–248. 44 indexed citations
12.
Michelot, J., et al.. (2000). Establishment of IPC 227 cells as human xenografts in rabbits: a model of uveal melanoma. Melanoma Research. 10(5). 445–450. 13 indexed citations
13.
Morvan, Daniel, Bruno Richard, & D Frédy. (1998). Experimental evaluation of nonlinearities of small-sized insertable gradient coils. Magnetic Resonance Imaging. 16(10). 1257–1263. 1 indexed citations
14.
Morvan, Daniel. (1995). In vivo measurement of diffusion and pseudo-diffusion in skeletal muscle at rest and after exercise. Magnetic Resonance Imaging. 13(2). 193–199. 88 indexed citations
15.
Morvan, Daniel & Anne Leroy‐Willig. (1995). Simultaneous measurements of diffusion and transverse relaxation in exercising skeletal muscle. Magnetic Resonance Imaging. 13(7). 943–948. 61 indexed citations
16.
Morvan, Daniel, et al.. (1993). Simultaneous temperature and regional blood volume measurements in human muscle using an MRI fast diffusion technique. Magnetic Resonance in Medicine. 29(3). 371–377. 59 indexed citations
17.
Morvan, Daniel, Michel Komajda, Alexis Brice, et al.. (1992). Cardiomyopathy in Friedreich's ataxia: a Doppler-echocardiographic study. European Heart Journal. 13(10). 1393–1398. 32 indexed citations
18.
Morvan, Daniel, Valérie Vilgrain, Lionel Arrivé, & H Nahum. (1992). Correlation of MR changes with doppler US measurements of blood flow in exercising normal muscle. Journal of Magnetic Resonance Imaging. 2(6). 645–652. 8 indexed citations
19.
Morvan, Daniel, P Jehenson, Denis Duboc, & A. Syrota. (1990). Discriminant factor analysis of 31p nmr spectroscopic data in myopathies. Magnetic Resonance in Medicine. 13(2). 216–227. 7 indexed citations
20.
Rouchaud, J.C., et al.. (1987). Multielement characterization of silicon by nuclear activation and inductively coupled plasma emission spectrometry. Analusis. 15(6). 275–285. 2 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