S. Lin
Impact in
- Pharmacology top 0.5%
- Cannabis and Cannabinoid Research
- Toxicology top 0.5%
- Forensic Toxicology and Drug Analysis
Papers in
- Pharmacology 12
- Cannabis and Cannabinoid Research 12
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- Neurotransmitter Receptor Influence on Behavior 9
- Neuroscience and Neuropharmacology Research 5
- Co-authors
- Alexandros Makriyannis (5 shared papers)Daniele Piomelli (2 shared papers)Massimiliano Beltramo (2 shared papers)Nephi Stella (1 shared paper)Antonio Calignano (1 shared paper)A. Makriyannis (8 shared papers)Andreas Goutopoulos (3 shared papers)Xiang‐Qun Xie (2 shared papers)
- Journals
- Life Sciences (2 papers)Behavioural Pharmacology (2 papers)Psychopharmacology (2 papers)Chemistry and Physics of Lipids (1 paper)Science (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
S. Lin
14 papers receiving 1.3k citations
S. Lin's Hit Papers
Peers
Comparison fields: 5 of 58
- Pharmacology 1.2k
- Toxicology 217
- Cellular and Molecular Neuroscience 819
- Endocrine and Autonomic Systems 125
- Cognitive Neuroscience 229
Countries citing papers authored by S. Lin
This map shows the geographic impact of S. Lin'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 S. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Lin more than expected).
Fields of papers citing papers by S. Lin
This network shows the impact of papers produced by S. Lin. 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 S. Lin. The network helps show where S. Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Lin, 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 | Functional Role of High-Affinity Anandamide Transport, as Revealed by Selective Inhibition Hit paper breakdown → | 1997 | 674 |
| 2 | 1999 | 229 | |
| 3 | 1997 | 116 | |
| 4 | 1996 | 55 | |
| 5 | 1998 | 46 | |
| 6 | 1998 | 38 | |
| 7 | 1991 | 29 | |
| 8 | 2000 | 23 | |
| 9 | 1999 | 21 | |
| 10 | 2003 | 20 | |
| 11 | Effects of delta-9-tetrahydrocannabinol and (R)-methanandamide on open-field behavior in rats. | 1998 | 20 |
| 12 | 1996 | 7 | |
| 13 | 2002 | 1 | |
| 14 | 1998 | 1 |
About S. Lin
S. Lin is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Toxicology, Molecular Biology and Nutrition and Dietetics, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (12 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Forensic Toxicology and Drug Analysis (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neuroscience of respiration and sleep (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), GABA and Rice Research (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Pharmacology (1.2k citations), Toxicology (217 citations), Cellular and Molecular Neuroscience (819 citations), Endocrine and Autonomic Systems (125 citations) and Cognitive Neuroscience (229 citations). S. Lin has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Alexandros Makriyannis, Daniele Piomelli, Massimiliano Beltramo, Nephi Stella, Antonio Calignano, A. Makriyannis, Andreas Goutopoulos, Xiang‐Qun Xie, R. J. Lamb and Kelley L. Morse. Their work appears in journals such as Life Sciences, Behavioural Pharmacology, Psychopharmacology, Chemistry and Physics of Lipids and Science.
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.