Benjamin Lam

1.4k citations
32 papers · 756 · h-index 13

Impact in

Papers in

    • Long-Term Effects of COVID-19 5
    • Neurological disorders and treatments 2
    • Obstructive Sleep Apnea Research 5
    • Alzheimer's disease research and treatments 2

Benjamin Lam

29 papers receiving 739 citations

Peers

Benjamin Lam
Comparison fields: 5 of 91
  • Psychiatry and Mental health 203
  • Neurology 118
  • Physiology 194
  • Rehabilitation 42
  • Neurology 50
Replace Miguel Tábuas‐Pereira with:
Miguel Tábuas‐Pereira Portugal
О С Левин Russia
Charles DeCarli United States
Johan Goeman Belgium
Pai‐Yi Chiu Taiwan
Frederik W. Wilmink Netherlands
Szofia Bullain United States
Shengxiang Liang China
Marion Houot France
Anna Pedrinolla Italy
Benjamin Lam relative to Miguel Tábuas‐Pereira Portugal Miguel Tábuas‐Pereira's profile →
Citations per field
00.5×
Miguel Tábuas‐Pereira · 1×
Citations per year

Countries citing papers authored by Benjamin Lam

Since Specialization
Citations

This map shows the geographic impact of Benjamin 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 Benjamin Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Lam more than expected).

Fields of papers citing papers by Benjamin Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin 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 Benjamin Lam. The network helps show where Benjamin Lam may publish in the future.

Co-authors

The 25 scholars most cited alongside Benjamin 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 Benjamin Lam Line = papers co-authored together Benjamin Lam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013275
2 2013100
3 200777
4 201463
5 200928
6
Obstructive sleep apnea syndrome: an experience in Chinese adults in Hong Kong.
199824
7 202323
8 202220
9 202319
10 201817
11 202216
12 201613
13 202213
14 201812
15 202012
16 20219
17 20208
18 20214
19 20244
20 20233

About Benjamin Lam

Benjamin Lam is a scholar working on Neurology, Physiology, Psychiatry and Mental health, Economics and Econometrics and Surgery, having authored 32 papers that have together received 756 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (5 papers), Long-Term Effects of COVID-19 (5 papers), Dementia and Cognitive Impairment Research (3 papers), Alzheimer's disease research and treatments (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Neurological disorders and treatments (2 papers), Advanced MRI Techniques and Applications (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Psychiatry and Mental health (203 citations), Neurology (118 citations), Physiology (194 citations), Rehabilitation (42 citations) and Neurology (50 citations). Benjamin Lam has collaborated with scholars based in Canada, Norway and Australia. Frequent co-authors include Sandra E. Black, Mario Masellis, Donald T. Stuss, Morris Freedman, Laura E. Middleton, Alex Kiss, Cynthia J. Danells, Jon Erik Ween, William E. McIlroy and Gary R. Turner. Their work appears in journals such as Diabetic Medicine, Frontiers in Psychiatry, Alzheimer s & Dementia, Frontiers in Neurology and Behavioural Brain Research.

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.

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