Boon Lead Tee
Impact in
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research
- Cognitive Neuroscience top 10%
- Neurobiology of Language and Bilingualism
Papers in
-
- Neurobiology of Language and Bilingualism 19
-
- Language Development and Disorders 5
- Reading and Literacy Development 3
- Co-authors
- Maria Luisa Gorno‐Tempini (11 shared papers)Raymond Y. Lo (5 shared papers)Jen‐Hung Wang (2 shared papers)Michael D. Geschwind (1 shared paper)Bruce L. Miller (5 shared papers)Elena Tsoy (3 shared papers)Serggio Lanata (3 shared papers)Charles Windon (3 shared papers)
- Journals
- Alzheimer s & Dementia (10 papers)Brain (3 papers)Journal of Alzheimer s Disease (3 papers)Neurocase (2 papers)Cortex (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Boon Lead Tee
29 papers receiving 412 citations
Peers
Comparison fields: 5 of 93
- Psychiatry and Mental health 149
- Cognitive Neuroscience 106
- Neurology 41
- Geriatrics and Gerontology 18
- Health Informatics 6
Countries citing papers authored by Boon Lead Tee
This map shows the geographic impact of Boon Lead Tee'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 Boon Lead Tee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boon Lead Tee more than expected).
Fields of papers citing papers by Boon Lead Tee
This network shows the impact of papers produced by Boon Lead Tee. 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 Boon Lead Tee. The network helps show where Boon Lead Tee may publish in the future.
Co-authors
The 25 scholars most cited alongside Boon Lead Tee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 95 | |
| 2 | 2018 | 78 | |
| 3 | 2019 | 53 | |
| 4 | 2021 | 43 | |
| 5 | 2018 | 35 | |
| 6 | 2023 | 28 | |
| 7 | 2022 | 13 | |
| 8 | 2024 | 10 | |
| 9 | 2012 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Boon Lead Tee
Boon Lead Tee is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Psychiatry and Mental health, Physiology and General Health Professions, having authored 34 papers that have together received 421 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (19 papers), Dementia and Cognitive Impairment Research (6 papers), Language Development and Disorders (5 papers), Alzheimer's disease research and treatments (4 papers), Reading and Literacy Development (3 papers), Air Quality and Health Impacts (3 papers), Health, Environment, Cognitive Aging (3 papers) and Text Readability and Simplification (3 papers). The work is most often cited by research in Psychiatry and Mental health (149 citations), Cognitive Neuroscience (106 citations), Neurology (41 citations), Geriatrics and Gerontology (18 citations) and Health Informatics (6 citations). Boon Lead Tee has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Maria Luisa Gorno‐Tempini, Raymond Y. Lo, Jen‐Hung Wang, Michael D. Geschwind, Bruce L. Miller, Elena Tsoy, Serggio Lanata, Charles Windon, Karen A. Dorsman and Amy Kind. Their work appears in journals such as Alzheimer s & Dementia, Brain, Journal of Alzheimer s Disease, Neurocase and Cortex.
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.