D. Léger

48 papers receiving 569 citations

Peers

D. Léger
Comparison fields: 5 of 123
  • Health Informatics 14
  • Health, Toxicology and Mutagenesis 78
  • Pollution 53
  • Nutrition and Dietetics 55
  • Aquatic Science 26
Replace Fong‐In Chou with:
Fong‐In Chou Taiwan
Marek Szymański Poland
Wim de Jong Netherlands
Yoshihiro Nakashima Japan
Yiyang Li China
Muhammad Ali Mumtaz United States
Jin China
Véronique Malard France
Wanyi Zhang China
Sophie-Charlotte Gleber United States
D. Léger relative to Fong‐In Chou Taiwan Fong‐In Chou's profile →
Citations per field
00.5×2×3×4×4.7×
Fong‐In Chou · 1×
Citations per year

Countries citing papers authored by D. Léger

Since Specialization
Citations

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

Fields of papers citing papers by D. Léger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Léger, 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 D. Léger Line = papers co-authored together D. Léger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Scurvy: reemergence of nutritional deficiencies.
200877
2 200853
3 200045
4 201441
5 201038
6 201532
7 199532
8 199230
9 199025
10 202224
11 198721
12 198821
13 201418
14 201718
15
ITER fuel cycle
199115
16 201711
17 198810
18 20028
19 19926
20 19946

About D. Léger

D. Léger is a scholar working on Materials Chemistry, Aerospace Engineering, Atomic and Molecular Physics, and Optics, Molecular Biology and Geophysics, having authored 56 papers that have together received 608 indexed citations. Recurring topics across this work include Fusion materials and technologies (9 papers), Atomic and Molecular Physics (6 papers), High-pressure geophysics and materials (5 papers), Nuclear reactor physics and engineering (5 papers), Nuclear and radioactivity studies (4 papers), Particle accelerators and beam dynamics (4 papers), Thermodynamic and Structural Properties of Metals and Alloys (3 papers) and Pesticide and Herbicide Environmental Studies (3 papers). The work is most often cited by research in Health Informatics (14 citations), Health, Toxicology and Mutagenesis (78 citations), Pollution (53 citations), Nutrition and Dietetics (55 citations) and Aquatic Science (26 citations). D. Léger has collaborated with scholars based in France, Canada and Germany. Frequent co-authors include C. Deutsch, O. C. Vaidya, G. D. Howell, Adrian S. Culf, Souad Harmand, A. Decken, Miroslava Čuperlović‐Culf, Ian C. Chute, Hugh J. O’Neill and M. Descamps. Their work appears in journals such as Fusion Engineering and Design, Blood, Water Quality Research Journal, Physics Letters A and Journal of Agricultural and Food Chemistry.

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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