Honghuang Lin
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Immunology top 10%
- Computational Theory and Mathematics top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Yu ChenEmelia J. BenjaminLianyi HanPatrick T. EllinorVladimir BrusićEllis L. ReinherzSongsak TongchusakDavid D. McManus
- Topics
- Genetic Associations and Epidemiology (20 papers)Dementia and Cognitive Impairment Research (19 papers)Atrial Fibrillation Management and Outcomes (17 papers)
- Cited by
- Cardiology and Cardiovascular MedicineMolecular BiologyComputational Theory and Mathematics
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Honghuang Lin
177 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 174
- Molecular Biology 2.0k
- Cardiology and Cardiovascular Medicine 913
- Immunology 405
- Computational Theory and Mathematics 400
- Radiology, Nuclear Medicine and Imaging 313
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 of co-authors of Honghuang Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Honghuang Lin. A scholar is included among the top collaborators of Honghuang Lin 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 Honghuang Lin. Honghuang Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 23 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 15 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 0 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 42 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | 28 | |
| 19 | 11 | |
| 20 | 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) and Atrial Fibrillation Management and Outcomes (17 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 JAMA, Nucleic Acids Research and Journal of Biological Chemistry.
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.