Chun Yee Lau

438 citations
3 papers · 42 indexed · h-index 2
Topics
Electronic Health Records Systems (2 papers)Data Quality and Management (1 paper)Pituitary Gland Disorders and Treatments (1 paper)
Partner nations
United States

In The Last Decade

Chun Yee Lau

2 papers receiving 42 citations

Peers

Chun Yee Lau
Comparison fields: 5 of 19
  • Endocrinology, Diabetes and Metabolism 31
  • Surgery 22
  • Genetics 19
  • Epidemiology 8
  • Health Information Management 6
Replace Gulnar Vagapova with:
Gulnar Vagapova Russia
Irene López Delgado Spain
Nadia Shafi United Kingdom
Mohammed Yassaad Oudrhiri Morocco
Maricela Vidrio-Velázquez Mexico
M.L. Nunès France
Soo‐Heon Kwak South Korea
Tomás Lucas Morante Spain
Yaw Appiagyei-Dankah United States
Lijun Kuang China
Chun Yee Lau relative to Gulnar Vagapova Russia Gulnar Vagapova's profile →
Citations per field
00.5×1.6×
Gulnar Vagapova · 1×
Citations per year

Countries citing papers authored by Chun Yee Lau

Since Specialization
Citations

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

Fields of papers citing papers by Chun Yee Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun Yee Lau. 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 Chun Yee Lau. The network helps show where Chun Yee Lau may publish in the future.

Co-authorship network of co-authors of Chun Yee Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Yee Lau. A scholar is included among the top collaborators of Chun Yee Lau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chun Yee Lau. Chun Yee Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1 0
2
EHR Data Quality Assessment Tools and Issue Reporting Workflows for the 'All of Us' Research Program Clinical Data Research Network.
10
3 32

About Chun Yee Lau

Chun Yee Lau is a scholar working on Health Information Management, Health and Organizational Behavior and Human Resource Management, having authored 3 papers that have together received 42 indexed citations. Recurring topics across this work include Electronic Health Records Systems (2 papers), Data Quality and Management (1 paper) and Pituitary Gland Disorders and Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (31 citations), Genetics (19 citations) and Health Information Management (6 citations). Chun Yee Lau has collaborated with scholars based in United States. Frequent co-authors include Joshua B. Bederson, Joaquín Villar, Patricia Taik, Kai Ying, Huan Wang, Kalmon D. Post, Michael Donovan, Rong Chen, Andrew F. Stewart and Marc Y. Fink. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of the American Medical Informatics Association and PubMed.

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