Linda Lam

1.9k citations
26 papers · 804 indexed · h-index 16

Linda Lam

24 papers receiving 775 citations

Peers

Linda Lam
Comparison fields: 5 of 107
  • Psychiatry and Mental health 324
  • Molecular Medicine 83
  • Neuropsychology and Physiological Psychology 13
  • Clinical Psychology 173
  • Cognitive Neuroscience 146
Replace Mary Ganguli with:
Mary Ganguli United States
Antonios Politis Greece
E. Mohandas India
Peter Pressman United States
Shahrzad Mazhari Iran
Valentina A. Tesky Germany
Natacha D. Emerson United States
Alison Watson United Kingdom
Chuanchieh Hsu United States
Ágnes Mészáros Hungary
Linda Lam relative to Mary Ganguli United States Mary Ganguli's profile →
Citations per field
00.5×3.8×
Mary Ganguli · 1×
Citations per year

Countries citing papers authored by Linda Lam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Linda Lam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Linda Lam Line = papers co-authored together Linda Lam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20210
3 201968
4 201816
5 201816
6
Auditory-based cognitive training programme for attention and memory in older people at risk of progressive cognitive decline: a randomised controlled trial.
20174
7
Validation of the Chinese Version of the Revised Clinical Interview Schedule: Findings from Hong Kong Mental Morbidity Survey.
201710
8 20146
9 2012103
10 201248
11 2007122
12
Neuropsychological Profiles of Elderly Chinese People with Amnestic and Multiple-Domain Mild Cognitive Impairment
20062
13 200642
14 200555
15 200048
16 199866
17 199721
18 199612
19 199632
20 199658

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), Mental Health Treatment and Access (4 papers), Psychosomatic Disorders and Their Treatments (3 papers), Alzheimer's disease research and treatments (3 papers), Functional Brain Connectivity Studies (3 papers), Mental Health and Psychiatry (3 papers) and Family Caregiving in Mental Illness (2 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 Schizophrenia Research, American Journal of Geriatric Psychiatry, Journal of the American Geriatrics Society, Biological Psychiatry and International Journal of Social Psychiatry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026