Angela Cheng-Lai
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism
- Molecular Biology
- Internal Medicine top 10%
- Co-authors
- William H. FrishmanWilbert S. AronowJames J. NawarskasJulie ChenJason R. ChanHenny H. BillettBhaumik B. PatelHillel W. Cohen
- Topics
- Lipoproteins and Cardiovascular Health (9 papers)Computational Drug Discovery Methods (4 papers)Atrial Fibrillation Management and Outcomes (4 papers)
- Journals
- Pharmacotherapy The Journal of Human Pharmacology and Drug TherapyAnnals of PharmacotherapyAmerican Journal of Health-System Pharmacy
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Angela Cheng-Lai
32 papers receiving 379 citations
Peers
Comparison fields: 5 of 81
- Cardiology and Cardiovascular Medicine 160
- Surgery 117
- Endocrinology, Diabetes and Metabolism 69
- Molecular Biology 60
- Internal Medicine 49
Countries citing papers authored by Angela Cheng-Lai
This map shows the geographic impact of Angela Cheng-Lai'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 Angela Cheng-Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angela Cheng-Lai more than expected).
Fields of papers citing papers by Angela Cheng-Lai
This network shows the impact of papers produced by Angela Cheng-Lai. 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 Angela Cheng-Lai. The network helps show where Angela Cheng-Lai may publish in the future.
Co-authorship network of co-authors of Angela Cheng-Lai
This figure shows the co-authorship network connecting the top 25 collaborators of Angela Cheng-Lai. A scholar is included among the top collaborators of Angela Cheng-Lai 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 Angela Cheng-Lai. Angela Cheng-Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 18 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 9 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 24 | |
| 11 | 10 | |
| 12 | 10 | |
| 13 | 15 | |
| 14 | 6 | |
| 15 | 11 | |
| 16 | 30 | |
| 17 | 22 | |
| 18 | 12 | |
| 19 | 29 | |
| 20 | 3 |
About Angela Cheng-Lai
Angela Cheng-Lai is a scholar working on Family Practice, Internal Medicine and Geriatrics and Gerontology, having authored 32 papers that have together received 398 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Computational Drug Discovery Methods (4 papers) and Atrial Fibrillation Management and Outcomes (4 papers). The work is most often cited by research in Internal Medicine (49 citations), Geriatrics and Gerontology (32 citations) and Family Practice (17 citations). Angela Cheng-Lai has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include William H. Frishman, Wilbert S. Aronow, James J. Nawarskas, Julie Chen, Jason R. Chan, Henny H. Billett, Bhaumik B. Patel, Hillel W. Cohen, Philip Chung and Serena Wong. Their work appears in journals such as Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy, Annals of Pharmacotherapy and American Journal of Health-System Pharmacy.
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.