CM Lum

1.1k citations
21 papers · 884 · h-index 15

Impact in

Papers in

CM Lum

21 papers receiving 841 citations

Peers

CM Lum
Comparison fields: 5 of 87
  • Geriatrics and Gerontology 103
  • Rehabilitation 96
  • Psychiatry and Mental health 151
  • Neuropsychology and Physiological Psychology 13
  • Neurology 101
Replace Suresh Sahadevan with:
Suresh Sahadevan Singapore
Jane Bear‐Lehman United States
P. K. Kwong Hong Kong
Mika Sugiyama Japan
Laura Mónica Pérez Spain
Antonia K. Coppin United States
Chiaki Ura Japan
Ryan A. Mace United States
Peter R. Gutierrez United States
Jodi D. Nadler United States
CM Lum relative to Suresh Sahadevan Singapore Suresh Sahadevan's profile →
Citations per field
00.5×1.5×2.2×
Suresh Sahadevan · 1×
Citations per year

Countries citing papers authored by CM Lum

Since Specialization
Citations

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

Fields of papers citing papers by CM Lum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998189
2 2000157
3 201784
4 200070
5 199568
6 200557
7 201641
8 201330
9 199729
10 200228
11 201026
12 200620
13 200820
14 201919
15 200518
16
Potentially inappropriate medication in elderly patients in outpatient clinics
200810
17
Use of nutritional health supplements and associated factors among parents with children at kindergartens in Hong Kong.
20115
18 20055
19 20154
20 19953

About CM Lum

CM Lum is a scholar working on Rehabilitation, Geriatrics and Gerontology, Psychiatry and Mental health, Pulmonary and Respiratory Medicine and Family Practice, having authored 21 papers that have together received 884 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Nutrition and Health in Aging (2 papers), Frailty in Older Adults (2 papers), Dementia and Cognitive Impairment Research (2 papers), Health, psychology, and well-being (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper) and Pharmaceutical studies and practices (1 paper). The work is most often cited by research in Geriatrics and Gerontology (103 citations), Rehabilitation (96 citations), Psychiatry and Mental health (151 citations), Neuropsychology and Physiological Psychology (13 citations) and Neurology (101 citations). CM Lum has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Jean Woo, Helen F.K. Chiu, Wai Kwong Tang, Gabor Sandor Ungvari, Yun Kwok Wing, Chien Ho, TF Leung, Elsie Hui, K. H. Sze and Eric Wong. Their work appears in journals such as Journal of the American Medical Directors Association, Stroke, SLEEP, Alcoholism Clinical and Experimental Research and Neurology.

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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