L. Salmon

2.2k citations
67 papers · 1.8k · h-index 24

Impact in

    • Ultrasonics and Acoustic Wave Propagation
    • Mechanical Behavior of Composites
  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology

Papers in

L. Salmon

66 papers receiving 1.8k citations

Peers

L. Salmon
Comparison fields: 5 of 126
  • Mechanics of Materials 552
  • Physiology 48
  • Biochemistry 75
  • Radiation 87
  • Civil and Structural Engineering 220
Replace Donald L. Hunston with:
Donald L. Hunston United States
Wenxi Li China
Akio Saito Japan
Susumu Nakamura Japan
Alexander Bergmann Austria
Yoshikazu Takahashi Japan
William H. Johnson United States
Makoto Nishimura Japan
Hua Tian United States
Kui Chen China
L. Salmon relative to Donald L. Hunston United States Donald L. Hunston's profile →
Citations per field
00.5×5×12.4×
Donald L. Hunston · 1×
Citations per year

Countries citing papers authored by L. Salmon

Since Specialization
Citations

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

Fields of papers citing papers by L. Salmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002252
2 2003248
3 196499
4 200697
5 200161
6 200148
7 199746
8 200244
9 200741
10 200837
11 200435
12 200634
13 200734
14 199232
15 200631
16 199829
17 200429
18 201127
19 200827
20 200826

About L. Salmon

L. Salmon is a scholar working on Materials Chemistry, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (19 papers), Enzyme Structure and Function (16 papers), Diet, Metabolism, and Disease (13 papers), Biochemical and Molecular Research (11 papers), Pancreatic function and diabetes (9 papers), Nuclear Physics and Applications (8 papers), Nuclear reactor physics and engineering (7 papers) and Porphyrin and Phthalocyanine Chemistry (5 papers). The work is most often cited by research in Mechanics of Materials (552 citations), Physiology (48 citations), Biochemistry (75 citations), Radiation (87 citations) and Civil and Structural Engineering (220 citations). L. Salmon has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Nathalie Godin, R. Gaertner, Renaud Hardré, Constance J. Jeffery, Emmanuel S. Burgos, E. Vors, Jean‐Philip Piquemal, Nohad Gresh, Kenneth L. Brown and Jean‐François Gérard. Their work appears in journals such as Tetrahedron Letters, Spectrochimica Acta Part B Atomic Spectroscopy, Journal of Computational Chemistry, Bioorganic & Medicinal Chemistry and Journal of Molecular Biology.

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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