Linda Lam
- Psychiatry and Mental health top 5%
- Clinical Psychology top 10%
- Cognitive Neuroscience top 10%
- Physiology
- Molecular Medicine top 5%
- Co-authors
- Timothy KwokEric ChenVincent MokSheung‐Tak ChengAda W. T. FungArthur D. P. MakHelen ChiuAgnes S. Chan
- Topics
- Dementia and Cognitive Impairment Research (8 papers)Schizophrenia research and treatment (6 papers)Mental Health Treatment and Access (4 papers)
- Journals
- Biological PsychiatryThe British Journal of PsychiatryJournal of the American Geriatrics Society
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Linda Lam
24 papers receiving 775 citations
Peers
Comparison fields: 5 of 107
- Psychiatry and Mental health 324
- Clinical Psychology 173
- Cognitive Neuroscience 146
- Physiology 122
- Molecular Medicine 83
Countries citing papers authored by Linda Lam
This map shows the geographic impact of Linda Lam'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 Linda Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Lam more than expected).
Fields of papers citing papers by Linda Lam
This network shows the impact of papers produced by Linda Lam. 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 Linda Lam. The network helps show where Linda Lam may publish in the future.
Co-authorship network of co-authors of Linda Lam
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Lam. A scholar is included among the top collaborators of Linda Lam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Linda Lam. Linda Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 68 | |
| 4 | 16 | |
| 5 | 16 | |
| 6 | Auditory-based cognitive training programme for attention and memory in older people at risk of progressive cognitive decline: a randomised controlled trial. | 4 |
| 7 | Validation of the Chinese Version of the Revised Clinical Interview Schedule: Findings from Hong Kong Mental Morbidity Survey. | 10 |
| 8 | 6 | |
| 9 | 103 | |
| 10 | 48 | |
| 11 | 122 | |
| 12 | Neuropsychological Profiles of Elderly Chinese People with Amnestic and Multiple-Domain Mild Cognitive Impairment | 2 |
| 13 | 42 | |
| 14 | 55 | |
| 15 | 48 | |
| 16 | 66 | |
| 17 | 21 | |
| 18 | 12 | |
| 19 | 32 | |
| 20 | 58 |
About Linda Lam
Linda Lam is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Conservation, having authored 26 papers that have together received 804 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (8 papers), Schizophrenia research and treatment (6 papers) and Mental Health Treatment and Access (4 papers). The work is most often cited by research in Psychiatry and Mental health (324 citations), Molecular Medicine (83 citations) and Neuropsychology and Physiological Psychology (13 citations). Linda Lam has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Timothy Kwok, Eric Chen, Vincent Mok, Sheung‐Tak Cheng, Ada W. T. Fung, Arthur D. P. Mak, Helen Chiu, Agnes S. Chan, Larry Baum and Vivian Leung. Their work appears in journals such as Biological Psychiatry, The British Journal of Psychiatry and Journal of the American Geriatrics Society.
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.