Gary Tin
Impact in
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
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- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
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- Computational Drug Discovery Methods 5
- Genetics 3
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Co-authors
- PRAVEEN Nekkar 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)Matthias Hinterndorfer (1 shared paper)Hana Imrichová (1 shared paper)Gygi Steven P. (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)Cancer Cell (1 paper)Science (1 paper)Cell chemical biology (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- CanadaAustriaUnited States
In The Last Decade
Gary Tin
15 papers receiving 564 citations
Peers
Comparison fields: 5 of 79
- Molecular Medicine 42
- Hematology 76
- Pharmacology 96
- Physiology 118
- Biological Psychiatry 11
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 23 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 | 2018 | 131 | |
| 2 | 2015 | 112 | |
| 3 | 2024 | 66 | |
| 4 | 2019 | 43 | |
| 5 | 2015 | 42 | |
| 6 | 2013 | 41 | |
| 7 | 2024 | 29 | |
| 8 | 2018 | 23 | |
| 9 | 2016 | 21 | |
| 10 | 2024 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2020 | 14 | |
| 13 | 2023 | 9 | |
| 14 | 2018 | 9 | |
| 15 | 2020 | 1 |
About Gary Tin
Gary Tin is a scholar working on Computational Theory and Mathematics, Genetics, Pharmacology, Hematology and Biological Psychiatry, having authored 15 papers that have together received 576 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Protein Degradation and Inhibitors (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Ubiquitin and proteasome pathways (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Alzheimer's disease research and treatments (2 papers) and Tryptophan and brain disorders (1 paper). The work is most often cited by research in Molecular Medicine (42 citations), Hematology (76 citations), Pharmacology (96 citations), Physiology (118 citations) and Biological Psychiatry (11 citations). Gary Tin has collaborated with scholars based in Canada, Austria and United States. Frequent co-authors include PRAVEEN Nekkar Rao, Tarek Mohamed, Arash Shakeri, Michael A. Beazely, Georg E. Winter, Matthias Hinterndorfer, Hana Imrichová, Gygi Steven P., Marko Cigler and Kevin D. Dong. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Cancer Cell, Science, Cell chemical biology and ACS Medicinal Chemistry Letters.
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.