Leland L. Smith
- Molecular Biology top 5%
- Surgery top 1%
- Spectroscopy top 1%
- Endocrinology, Diabetes and Metabolism top 2%
- Organic Chemistry top 2%
- Co-authors
- Johan E. van LierMartin J. KuligJon I. TengYong Y. LinG.A.S. AnsariFreddie L. HillTheodore FoellL Sedlaczek
- Topics
- Steroid Chemistry and Biochemistry (51 papers)Cholesterol and Lipid Metabolism (39 papers)Analytical Chemistry and Chromatography (38 papers)
- Cited by
- BiochemistryPharmacology
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryAnalytical Chemistry
- Partner nations
- United StatesChinaPoland
In The Last Decade
Leland L. Smith
151 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 2.3k
- Surgery 1.9k
- Spectroscopy 783
- Endocrinology, Diabetes and Metabolism 767
- Organic Chemistry 752
Countries citing papers authored by Leland L. Smith
This map shows the geographic impact of Leland L. 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 Leland L. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leland L. Smith more than expected).
Fields of papers citing papers by Leland L. Smith
This network shows the impact of papers produced by Leland L. 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 Leland L. Smith. The network helps show where Leland L. Smith may publish in the future.
Co-authorship network of co-authors of Leland L. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Leland L. Smith. A scholar is included among the top collaborators of Leland L. Smith 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 Leland L. Smith. Leland L. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | 15 | |
| 3 | 16 | |
| 4 | 9 | |
| 5 | 135 | |
| 6 | 4 | |
| 7 | 300 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 91 | |
| 11 | 7 | |
| 12 | 24 | |
| 13 | Mutagenicity of autoxidized cholesterol samples | 2 |
| 14 | 45 | |
| 15 | 19 | |
| 16 | 12 | |
| 17 | 6 | |
| 18 | 13 | |
| 19 | 6 | |
| 20 | 6 |
About Leland L. Smith
Leland L. Smith is a scholar working on Spectroscopy, Pharmacology and Chemical Health and Safety, having authored 151 papers that have together received 4.8k indexed citations. Recurring topics across this work include Steroid Chemistry and Biochemistry (51 papers), Cholesterol and Lipid Metabolism (39 papers) and Analytical Chemistry and Chromatography (38 papers). The work is most often cited by research in Biochemistry (592 citations), Biochemistry (410 citations) and Pharmacology (425 citations). Leland L. Smith has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Johan E. van Lier, Martin J. Kulig, Jon I. Teng, Yong Y. Lin, G.A.S. Ansari, Freddie L. Hill, Theodore Foell, L Sedlaczek, W. Stephen Matthews and John C. Price. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Analytical 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.