Bryan E. Thacker
Impact in
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Proteoglycans and glycosaminoglycans research 9
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- Glycosylation and Glycoproteins Research 6
- Hedgehog Signaling Pathway Studies 1
- Co-authors
- Jeffrey D. Esko (7 shared papers)Roger Lawrence (2 shared papers)Ding Xu (1 shared paper)Richard L. Lieber (3 shared papers)Samuel R. Ward (3 shared papers)Akihito Tomiya (3 shared papers)Gilad J. Regev (2 shared papers)Choll W. Kim (2 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)ACS Chemical Biology (2 papers)Nature Medicine (1 paper)Journal of Orthopaedic Research® (1 paper)Emerging Topics in Life Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Bryan E. Thacker
16 papers receiving 830 citations
Peers
Comparison fields: 5 of 86
- Cell Biology 286
- Endocrinology, Diabetes and Metabolism 93
- Molecular Biology 372
- Cardiology and Cardiovascular Medicine 107
- Cancer Research 64
Countries citing papers authored by Bryan E. Thacker
This map shows the geographic impact of Bryan E. Thacker'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 Bryan E. Thacker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan E. Thacker more than expected).
Fields of papers citing papers by Bryan E. Thacker
This network shows the impact of papers produced by Bryan E. Thacker. 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 Bryan E. Thacker. The network helps show where Bryan E. Thacker may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan E. Thacker, 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 | 2016 | 204 | |
| 2 | 2013 | 196 | |
| 3 | 2011 | 115 | |
| 4 | 2009 | 110 | |
| 5 | 2016 | 66 | |
| 6 | 2011 | 44 | |
| 7 | 2010 | 26 | |
| 8 | 2010 | 19 | |
| 9 | 2006 | 17 | |
| 10 | 2017 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2023 | 1 |
About Bryan E. Thacker
Bryan E. Thacker is a scholar working on Cell Biology, Molecular Biology, Organic Chemistry, Cellular and Molecular Neuroscience and Surgery, having authored 16 papers that have together received 835 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (9 papers), Glycosylation and Glycoproteins Research (6 papers), Carbohydrate Chemistry and Synthesis (3 papers), Liver physiology and pathology (1 paper), Cancer, Lipids, and Metabolism (1 paper), Axon Guidance and Neuronal Signaling (1 paper), Muscle activation and electromyography studies (1 paper) and Hedgehog Signaling Pathway Studies (1 paper). The work is most often cited by research in Cell Biology (286 citations), Endocrinology, Diabetes and Metabolism (93 citations), Molecular Biology (372 citations), Cardiology and Cardiovascular Medicine (107 citations) and Cancer Research (64 citations). Bryan E. Thacker has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Jeffrey D. Esko, Roger Lawrence, Ding Xu, Richard L. Lieber, Samuel R. Ward, Akihito Tomiya, Gilad J. Regev, Choll W. Kim, Philip L.S.M. Gordts and Adam E. Mullick. Their work appears in journals such as Journal of Biological Chemistry, ACS Chemical Biology, Nature Medicine, Journal of Orthopaedic Research® and Emerging Topics in Life Sciences.
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.