Yuk‐Lam Ho

10.2k citations
57 papers · 1.3k indexed · 1 hit paper · h-index 15

Impact in

Papers in

Yuk‐Lam Ho

54 papers receiving 1.2k citations

Hit Papers

Diabetes Mellitus–Related All‐Cause and Cardiovascular Mortality in a National Cohort of Adults 2019 · 363 citations
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Peers

Yuk‐Lam Ho
Comparison fields: 5 of 116
  • Geriatrics and Gerontology 142
  • Endocrinology, Diabetes and Metabolism 302
  • Cardiology and Cardiovascular Medicine 318
  • Health Informatics 14
  • Behavioral Neuroscience 29
Replace Toba Kazemi with:
Toba Kazemi Iran
Xiaojuan Mi United States
Chia‐Ing Li Taiwan
Lizzy M. Brewster Netherlands
Hena Patel United States
Hieronymus J. Derijks Netherlands
Jeffrey Schein United States
Billy S. Collins United States
Margrét Leósdóttir Sweden
Judith Simons Australia
Yuk‐Lam Ho relative to Toba Kazemi Iran Toba Kazemi's profile →
Citations per field
00.5×
Toba Kazemi · 1×
Citations per year

Countries citing papers authored by Yuk‐Lam Ho

Since Specialization
Citations

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

Fields of papers citing papers by Yuk‐Lam Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20247
3 20243
4 20237
5 20236
6 202312
7 202313
8 20234
9 202319
10 20221
11 20223
12 20224
13 2021108
14 202117
15 20195
16 201911
17 20194
18
Genetics of blood lipids among similar to 300,000 multi-ethnic participants of the Million Veteran Program
20180
19 201831
20
Abstract 18809: Development of an Electronic Health Record-Based Algorithm for Smoking Status Using the Million Veteran Program (MVP) Cohort Survey Response
20169

About Yuk‐Lam Ho

Yuk‐Lam Ho is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine, Health Information Management, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (12 papers), Cardiovascular Health and Risk Factors (9 papers), Biomedical Text Mining and Ontologies (7 papers), Obesity, Physical Activity, Diet (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Consumer Attitudes and Food Labeling (6 papers), Machine Learning in Healthcare (5 papers) and Diabetes Treatment and Management (5 papers). The work is most often cited by research in Geriatrics and Gerontology (142 citations), Endocrinology, Diabetes and Metabolism (302 citations), Cardiology and Cardiovascular Medicine (318 citations), Health Informatics (14 citations) and Behavioral Neuroscience (29 citations). Yuk‐Lam Ho has collaborated with scholars based in United States, Australia and Estonia. Frequent co-authors include Kelly Cho, David Gagnon, Peter W.F. Wilson, Jason L. Vassy, Sridharan Raghavan, Lawrence S. Phillips, Rebecca J. Song, Luc Djoussé, J. Michael Gaziano and Ariela R. Orkaby. Their work appears in journals such as JAMA Network Open, Journal of the American Heart Association, Circulation, Nutrients and Clinical Nutrition.

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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2026