Kenneth Lam

21 papers receiving 919 citations

Kenneth Lam's Hit Papers

Assessing Telemedicine Unreadiness Among Older Adults in the United States During the COVID-19 Pandemic 2020 · 465 citations
4650+2+4Years since publication100200300400

Peers

Kenneth Lam
Comparison fields: 5 of 99
  • Geriatrics and Gerontology 49
  • Public Health, Environmental and Occupational Health 325
  • General Health Professions 162
  • Endocrinology, Diabetes and Metabolism 91
  • Family Practice 9
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Citations per year

Countries citing papers authored by Kenneth Lam

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Assessing Telemedicine Unreadiness Among Older Adults in the United States During the COVID-19 Pandemic
Hit paper breakdown →
2020465
2 2019129
3 2021117
4 202083
5 201733
6 202120
7 201816
8 201913
9 200212
10 202011
11 202110
12 20236
13 20224
14 20224
15 20163
16 20252
17 20182
18 20212
19 20241
20 20231

About Kenneth Lam

Kenneth Lam is a scholar working on General Health Professions, Geriatrics and Gerontology, Oncology, Public Health, Environmental and Occupational Health and Occupational Therapy, having authored 22 papers that have together received 935 indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (3 papers), Telemedicine and Telehealth Implementation (2 papers), COVID-19 and healthcare impacts (2 papers), Mobile Health and mHealth Applications (2 papers), Frailty in Older Adults (2 papers), Disaster Response and Management (1 paper), Aging and Gerontology Research (1 paper) and Clinical Reasoning and Diagnostic Skills (1 paper). The work is most often cited by research in Geriatrics and Gerontology (49 citations), Public Health, Environmental and Occupational Health (325 citations), General Health Professions (162 citations), Endocrinology, Diabetes and Metabolism (91 citations) and Family Practice (9 citations). Kenneth Lam has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Kenneth E. Covinsky, Ying Shi, Amy D. Lu, Ramya Thota, Ana María López, Susan E. Bronskill, Nathan M. Stall, Paula A. Rochon, Andrea Gruneir and Lisa McCarthy. Their work appears in journals such as Journal of the American Geriatrics Society, JAMA Internal Medicine, Canadian Journal of Emergency Medicine, Age and Ageing and The Gerontologist.

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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