Yen‐Hung Lin
- Surgery top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Cardiology and Cardiovascular Medicine top 1%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Co-authors
- Vin‐Cent WuYi‐Lwun HoKwan‐Dun WuShih‐Chieh ChuehYung‐Ming ChenChi‐Sheng HungLian‐Yu LinHsien‐Li Kao
- Topics
- Hormonal Regulation and Hypertension (130 papers)Adrenal and Paraganglionic Tumors (90 papers)Blood Pressure and Hypertension Studies (54 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yen‐Hung Lin
261 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Surgery 2.3k
- Endocrinology, Diabetes and Metabolism 2.3k
- Cardiology and Cardiovascular Medicine 1.8k
- Pulmonary and Respiratory Medicine 681
- Molecular Biology 568
Countries citing papers authored by Yen‐Hung Lin
This map shows the geographic impact of Yen‐Hung 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 Yen‐Hung Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen‐Hung Lin more than expected).
Fields of papers citing papers by Yen‐Hung Lin
This network shows the impact of papers produced by Yen‐Hung 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 Yen‐Hung Lin. The network helps show where Yen‐Hung Lin may publish in the future.
Co-authorship network of co-authors of Yen‐Hung Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Yen‐Hung Lin. A scholar is included among the top collaborators of Yen‐Hung 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 Yen‐Hung Lin. Yen‐Hung 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 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | Genetics, prevalence, screening and confirmation of primary aldosteronism: a position statement and consensus of the Working Group on Endocrine Hypertension of The European Society of Hypertension ∗breakdown → | 180 |
| 15 | 18 | |
| 16 | 10 | |
| 17 | 11 | |
| 18 | 65 | |
| 19 | The Serum Concentrations of Procollagen Propeptides in Hypertensive Patients with or Without Diabetes | 3 |
| 20 | Coronary Stent Strut Avulsion and Cutting Balloon Fracture in Treating In-stent Restenosis | 3 |
About Yen‐Hung Lin
Yen‐Hung Lin is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 278 papers that have together received 5.2k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (130 papers), Adrenal and Paraganglionic Tumors (90 papers) and Blood Pressure and Hypertension Studies (54 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Cardiology and Cardiovascular Medicine (1.8k citations) and Nephrology (387 citations). Yen‐Hung Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Vin‐Cent Wu, Yi‐Lwun Ho, Kwan‐Dun Wu, Shih‐Chieh Chueh, Yung‐Ming Chen, Chi‐Sheng Hung, Lian‐Yu Lin, Hsien‐Li Kao, Shuo‐Meng Wang and Yen‐Wen Wu. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
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.