Gary Tin
Impact in
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
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- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Computational Drug Discovery Methods 4
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- Protein Degradation and Inhibitors 1
- Co-authors
- Praveen P. N. Rao (6 shared papers)Tarek Mohamed (6 shared papers)Arash Shakeri (3 shared papers)Michael A. Beazely (1 shared paper)Georg E. Winter (2 shared papers)Hana Imrichová (1 shared paper)Kevin Dong (1 shared paper)Elvin D. de Araujo (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)Alzheimer s & Dementia (1 paper)ACS Medicinal Chemistry Letters (1 paper)ACS Chemical Neuroscience (1 paper)Journal of Pharmaceutical and Biomedical Analysis (1 paper)
- Partner nations
- CanadaAustriaUnited States
In The Last Decade
Gary Tin
9 papers receiving 238 citations
Peers
Comparison fields: 5 of 60
- Molecular Medicine 38
- Pharmacology 88
- Physiology 113
- Computational Theory and Mathematics 64
- Biological Psychiatry 10
Countries citing papers authored by Gary Tin
This map shows the geographic impact of Gary Tin'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 Gary Tin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Tin more than expected).
Fields of papers citing papers by Gary Tin
This network shows the impact of papers produced by Gary Tin. 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 Gary Tin. The network helps show where Gary Tin may publish in the future.
Co-authors
The 22 scholars most cited alongside Gary Tin, 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 | 2015 | 105 | |
| 2 | 2015 | 38 | |
| 3 | 2013 | 37 | |
| 4 | 2018 | 20 | |
| 5 | 2016 | 19 | |
| 6 | 2024 | 10 | |
| 7 | 2018 | 7 | |
| 8 | 2023 | 4 | |
| 9 | 2020 | 1 |
About Gary Tin
Gary Tin is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Oncology and Physiology, having authored 9 papers that have together received 241 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Alzheimer's disease research and treatments (2 papers), Electrochemical sensors and biosensors (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Quinazolinone synthesis and applications (1 paper), Protein Degradation and Inhibitors (1 paper) and Curcumin's Biomedical Applications (1 paper). The work is most often cited by research in Molecular Medicine (38 citations), Pharmacology (88 citations), Physiology (113 citations), Computational Theory and Mathematics (64 citations) and Biological Psychiatry (10 citations). Gary Tin has collaborated with scholars based in Canada, Austria and United States. Frequent co-authors include Praveen P. N. Rao, Tarek Mohamed, Arash Shakeri, Michael A. Beazely, Georg E. Winter, Hana Imrichová, Kevin Dong, Elvin D. de Araujo, Matthias Hinterndorfer and Steven P. Gygi. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Alzheimer s & Dementia, ACS Medicinal Chemistry Letters, ACS Chemical Neuroscience and Journal of Pharmaceutical and Biomedical Analysis.
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.