Allison Tam
Impact in
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- Metabolism and Genetic Disorders
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- Amino Acid Enzymes and Metabolism
Papers in
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- RNA modifications and cancer 2
- Genetics 3
- Connective tissue disorders research 1
- Dermatological and Skeletal Disorders 1
- Co-authors
- Daniel L. Rubin (1 shared paper)Fernando Scaglia (1 shared paper)Luis A. Fernandez (1 shared paper)Mary Elizabeth M. Tessier (1 shared paper)Sarah H. Elsea (1 shared paper)Sandesh C.S. Nagamani (3 shared papers)Anthony M. D’Alessandro (1 shared paper)Krupa R. Mysore (1 shared paper)
- Journals
- Medical Physics (1 paper)Human Molecular Genetics (1 paper)Environmental Science & Technology (1 paper)Genetics in Medicine (1 paper)Journal of Medical Genetics (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Arab Emirates
In The Last Decade
Allison Tam
10 papers receiving 102 citations
Peers
Comparison fields: 5 of 45
- Clinical Biochemistry 28
- Biochemistry 17
- Health, Toxicology and Mutagenesis 14
- Rheumatology 11
- Artificial Intelligence 23
Countries citing papers authored by Allison Tam
This map shows the geographic impact of Allison 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 Allison Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allison Tam more than expected).
Fields of papers citing papers by Allison Tam
This network shows the impact of papers produced by Allison 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 Allison Tam. The network helps show where Allison Tam may publish in the future.
Co-authors
The 25 scholars most cited alongside Allison 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 | 2016 | 25 | |
| 2 | 2019 | 25 | |
| 3 | 2021 | 14 | |
| 4 | 2017 | 9 | |
| 5 | 2017 | 8 | |
| 6 | 2020 | 8 | |
| 7 | Detection of Stereotypical Motor Movements in Autism using a Smartwatch-based System. | 2018 | 6 |
| 8 | 2018 | 4 | |
| 9 | 2022 | 2 | |
| 10 | 2013 | 2 |
About Allison Tam
Allison Tam is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Rheumatology and Neurology, having authored 10 papers that have together received 103 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (2 papers), RNA modifications and cancer (2 papers), Digital Imaging for Blood Diseases (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Meningioma and schwannoma management (1 paper), Connective tissue disorders research (1 paper), Dermatological and Skeletal Disorders (1 paper) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Clinical Biochemistry (28 citations), Biochemistry (17 citations), Health, Toxicology and Mutagenesis (14 citations), Rheumatology (11 citations) and Artificial Intelligence (23 citations). Allison Tam has collaborated with scholars based in United States, South Korea and United Arab Emirates. Frequent co-authors include Daniel L. Rubin, Fernando Scaglia, Luis A. Fernandez, Mary Elizabeth M. Tessier, Sarah H. Elsea, Sandesh C.S. Nagamani, Anthony M. D’Alessandro, Krupa R. Mysore, Gregory M. Rice and John A. Goss. Their work appears in journals such as Medical Physics, Human Molecular Genetics, Environmental Science & Technology, Genetics in Medicine and Journal of Medical Genetics.
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.