Beatrice M. Tam
- Cell Biology top 2%
- Cellular transport and secretion 9
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- Photoreceptor and optogenetics research 18
- Molecular Biology top 5%
- Retinal Development and Disorders 35
- CRISPR and Genetic Engineering 7
- Advanced biosensing and bioanalysis techniques 5
- Receptor Mechanisms and Signaling 5
- Protein Structure and Dynamics 3
- Ophthalmology top 2%
- Hematology top 5%
- Iron Metabolism and Disorders 6
- Co-authors
- Orson L. MoritzDavid S. PapermasterRoss T. A. MacGillivrayRobert C. WoodworthDusanka DereticAnne B. MasonQing‐Yu HeJohan Peränen
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (3 papers)Journal of Neuroscience (9 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Beatrice M. Tam
55 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 93
- Cell Biology 587
- Cellular and Molecular Neuroscience 648
- Molecular Biology 1.7k
- Ophthalmology 181
- Hematology 202
Countries citing papers authored by Beatrice M. Tam
This map shows the geographic impact of Beatrice M. Tam'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 Beatrice M. Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatrice M. Tam more than expected).
Fields of papers citing papers by Beatrice M. Tam
This network shows the impact of papers produced by Beatrice M. Tam. 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 Beatrice M. Tam. The network helps show where Beatrice M. Tam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Beatrice M. Tam, 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 | 2023 | 1 | |
| 2 | 2020 | 26 | |
| 3 | 2017 | 1 | |
| 4 | 2015 | 10 | |
| 5 | 2014 | 30 | |
| 6 | 2011 | 13 | |
| 7 | 2009 | 14 | |
| 8 | 2007 | 78 | |
| 9 | 2006 | 102 | |
| 10 | 2004 | 87 | |
| 11 | 2003 | 52 | |
| 12 | 2003 | 57 | |
| 13 | 2002 | 16 | |
| 14 | 2001 | 74 | |
| 15 | 2001 | 27 | |
| 16 | 2001 | 18 | |
| 17 | 2000 | 25 | |
| 18 | 1998 | 28 | |
| 19 | 1997 | 23 | |
| 20 | 1996 | 25 |
About Beatrice M. Tam
Beatrice M. Tam is a scholar working on Aging, Cellular and Molecular Neuroscience and Cell Biology, having authored 56 papers that have together received 2.0k indexed citations. Recurring topics across this work include Retinal Development and Disorders (35 papers), Photoreceptor and optogenetics research (18 papers), Cellular transport and secretion (9 papers), CRISPR and Genetic Engineering (7 papers), Iron Metabolism and Disorders (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Receptor Mechanisms and Signaling (5 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Cell Biology (587 citations), Cellular and Molecular Neuroscience (648 citations) and Molecular Biology (1.7k citations). Beatrice M. Tam has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Orson L. Moritz, David S. Papermaster, Ross T. A. MacGillivray, Robert C. Woodworth, Dusanka Deretic, Anne B. Mason, Qing‐Yu He, Johan Peränen, Paul A. Randazzo and Hiroki Inoue. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Neuroscience.
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.