Honghuang Lin
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- Atrial Fibrillation Management and Outcomes 17
- Molecular Biology top 5%
- Machine Learning in Bioinformatics 14
- Epigenetics and DNA Methylation 10
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- Computational Drug Discovery Methods 13
- Aging top 10%
- Immunology top 10%
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- Genetic Associations and Epidemiology 20
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- Dementia and Cognitive Impairment Research 19
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- Health, Environment, Cognitive Aging 11
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- Mobile Health and mHealth Applications 10
- Co-authors
- Yu ChenEmelia J. BenjaminLianyi HanPatrick T. EllinorVladimir BrusićEllis L. ReinherzSongsak TongchusakDavid D. McManus
- Cited by
- Cardiology and Cardiovascular MedicineMolecular BiologyComputational Theory and Mathematics
- Journals
- Alzheimer s & Dementia (11 papers)Journal of Medical Internet Research (10 papers)Journal of the American Heart Association (9 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Honghuang Lin
177 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 174
- Cardiology and Cardiovascular Medicine 913
- Molecular Biology 2.0k
- Computational Theory and Mathematics 400
- Aging 35
- Immunology 405
Countries citing papers authored by Honghuang Lin
This map shows the geographic impact of Honghuang Lin'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 Honghuang Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Honghuang Lin more than expected).
Fields of papers citing papers by Honghuang Lin
This network shows the impact of papers produced by Honghuang Lin. 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 Honghuang Lin. The network helps show where Honghuang Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Honghuang Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 23 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 15 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 42 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 1 | |
| 18 | 2020 | 28 | |
| 19 | 2019 | 11 | |
| 20 | 2016 | 23 |
About Honghuang Lin
Honghuang Lin is a scholar working on Cardiology and Cardiovascular Medicine, Applied Psychology and Psychiatry and Mental health, having authored 195 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (20 papers), Dementia and Cognitive Impairment Research (19 papers), Atrial Fibrillation Management and Outcomes (17 papers), Machine Learning in Bioinformatics (14 papers), Computational Drug Discovery Methods (13 papers), Health, Environment, Cognitive Aging (11 papers), Mobile Health and mHealth Applications (10 papers) and Epigenetics and DNA Methylation (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (913 citations), Molecular Biology (2.0k citations) and Computational Theory and Mathematics (400 citations). Honghuang Lin has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Yu Chen, Emelia J. Benjamin, Lianyi Han, Patrick T. Ellinor, Vladimir Brusić, Ellis L. Reinherz, Songsak Tongchusak, David D. McManus, Steven A. Lubitz and Martin G. Larson. Their work appears in journals such as Alzheimer s & Dementia, Journal of Medical Internet Research, Journal of the American Heart Association, Scientific Reports and Heart Rhythm.
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.