Daniel Morvan

1.9k citations
91 papers · 1.6k · h-index 22

Impact in

Papers in

Daniel Morvan

86 papers receiving 1.5k citations

Peers

Daniel Morvan
Comparison fields: 5 of 127
  • Complementary and alternative medicine 144
  • Radiology, Nuclear Medicine and Imaging 316
  • Cancer Research 186
  • Molecular Biology 511
  • Cardiology and Cardiovascular Medicine 132
Replace Stephen J. Karlik with:
Stephen J. Karlik Canada
Chunyan Wang China
Yoichi Saitoh Japan
Guang Jia United States
Takayuki Ogawa Japan
Peter H. Lukas Austria
Meng Yang China
Ping‐Chang Lin United States
Bo‐Lennart Johansson Sweden
Jonghee Hwang South Korea
Daniel Morvan relative to Stephen J. Karlik Canada Stephen J. Karlik's profile →
Citations per field
00.5×2×4×6×8.5×
Stephen J. Karlik · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Morvan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Morvan Line = papers co-authored together Daniel Morvan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995167
2 199589
3 200783
4 201467
5 199363
6 199562
7 201358
8
Melanoma tumors acquire a new phospholipid metabolism phenotype under cystemustine as revealed by high-resolution magic angle spinning proton nuclear magnetic resonance spectroscopy of intact tumor samples.
200257
9 200351
10 199149
11 201046
12 200842
13 200941
14 199236
15 200635
16 201031
17 201130
18 200729
19 201727
20 200423

About Daniel Morvan

Daniel Morvan is a scholar working on Cancer Research, Electrical and Electronic Engineering, Mechanics of Materials, Materials Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 91 papers that have together received 1.6k indexed citations. Recurring topics across this work include Silicon and Solar Cell Technologies (16 papers), Cancer, Hypoxia, and Metabolism (13 papers), Metabolomics and Mass Spectrometry Studies (12 papers), Catalytic Processes in Materials Science (11 papers), Laser-induced spectroscopy and plasma (10 papers), Plasma Diagnostics and Applications (9 papers), High-Temperature Coating Behaviors (7 papers) and Thin-Film Transistor Technologies (7 papers). The work is most often cited by research in Complementary and alternative medicine (144 citations), Radiology, Nuclear Medicine and Imaging (316 citations), Cancer Research (186 citations), Molecular Biology (511 citations) and Cardiology and Cardiovascular Medicine (132 citations). Daniel Morvan has collaborated with scholars based in France, United Kingdom and Morocco. Frequent co-authors include Aïcha Demidem, Mathilde Bayet‐Robert, J. Amouroux, Jean Claude Madelmont, Anne Leroy‐Willig, Janine Papon, R Gourgon, Alain Cohen‐Solal, Thierry Laperche and Chantal Barthomeuf. Their work appears in journals such as High Temperature Material Processes An International Quarterly of High-Technology Plasma Processes, Surface and Coatings Technology, Magnetic Resonance in Medicine, Thin Solid Films and Magnetic Resonance Imaging.

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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