L. C. Smith
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Metabolism and Genetic Disorders 4
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- Lipid metabolism and biosynthesis 3
- Co-authors
- Henry J. Pownall (2 shared papers)Antonio Gotto (2 shared papers)Lawrence Chan (3 shared papers)Wen‐Hsiung Li (1 shared paper)Chao Yuh Yang (1 shared paper)P. F. Crain (1 shared paper)James A. McCloskey (1 shared paper)Wilfried A. Koenig (1 shared paper)
- Journals
- Experimental Biology and Medicine (6 papers)Journal of Biological Chemistry (2 papers)Biochemical and Biophysical Research Communications (1 paper)Annual Review of Biochemistry (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
L. C. Smith
13 papers receiving 481 citations
Peers
Comparison fields: 5 of 77
- Biochemistry 80
- Endocrinology, Diabetes and Metabolism 120
- Cancer Research 76
- Clinical Biochemistry 36
- Molecular Biology 290
Countries citing papers authored by L. C. Smith
This map shows the geographic impact of L. C. Smith'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. C. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. C. Smith more than expected).
Fields of papers citing papers by L. C. Smith
This network shows the impact of papers produced by L. C. Smith. 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. C. Smith. The network helps show where L. C. Smith may publish in the future.
Co-authors
The 21 scholars most cited alongside L. C. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 316 | |
| 2 | 1985 | 102 | |
| 3 | 1971 | 35 | |
| 4 | 1986 | 23 | |
| 5 | 1995 | 18 | |
| 6 | 1985 | 16 | |
| 7 | 1957 | 9 | |
| 8 | 1958 | 7 | |
| 9 | 2020 | 6 | |
| 10 | 1960 | 3 | |
| 11 | 1958 | 3 | |
| 12 | 1954 | 2 | |
| 13 | 1961 | 1 |
About L. C. Smith
L. C. Smith is a scholar working on Clinical Biochemistry, Biochemistry, Endocrinology, Diabetes and Metabolism, Cell Biology and Molecular Biology, having authored 13 papers that have together received 541 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (4 papers), Lipid metabolism and biosynthesis (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Muscle metabolism and nutrition (2 papers), Diet and metabolism studies (2 papers), Acute Myeloid Leukemia Research (1 paper), Glycogen Storage Diseases and Myoclonus (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Biochemistry (80 citations), Endocrinology, Diabetes and Metabolism (120 citations), Cancer Research (76 citations), Clinical Biochemistry (36 citations) and Molecular Biology (290 citations). L. C. Smith has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Henry J. Pownall, Antonio Gotto, Lawrence Chan, Wen‐Hsiung Li, Chao Yuh Yang, P. F. Crain, James A. McCloskey, Wilfried A. Koenig, Sacha B. Nelson and Peter van Tuinen. Their work appears in journals such as Experimental Biology and Medicine, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Annual Review of Biochemistry and Biochemistry.
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.