Te‐Yu Lin
Impact in
- Internal Medicine top 10%
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus
- Antifungal resistance and susceptibility
Papers in
-
- Antifungal resistance and susceptibility 3
- Tuberculosis Research and Epidemiology 3
- Epidemiology 14
- Fungal Infections and Studies 3
- Co-authors
- Chia‐Hung Kao (18 shared papers)Cheng‐Li Lin (12 shared papers)Ning‐Chi Wang (21 shared papers)Jung‐Chung Lin (10 shared papers)Yuguang Chen (11 shared papers)Feng‐Yee Chang (12 shared papers)Feng‐Cheng Liu (8 shared papers)Kuo‐Ming Yeh (7 shared papers)
In The Last Decade
Te‐Yu Lin
68 papers receiving 897 citations
Peers
Comparison fields: 5 of 63
- Internal Medicine 28
- Infectious Diseases 157
- Endocrinology 30
- Molecular Medicine 36
- Hepatology 49
Countries citing papers authored by Te‐Yu Lin
This map shows the geographic impact of Te‐Yu 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 Te‐Yu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te‐Yu Lin more than expected).
Fields of papers citing papers by Te‐Yu Lin
This network shows the impact of papers produced by Te‐Yu 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 Te‐Yu Lin. The network helps show where Te‐Yu Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Te‐Yu 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
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 41 | |
| 2 | 2016 | 39 | |
| 3 | 2017 | 37 | |
| 4 | 2016 | 36 | |
| 5 | 2015 | 35 | |
| 6 | Cryptococcal disease in patients with or without human immunodeficiency virus: clinical presentation and monitoring of serum cryptococcal antigen titers. | 2009 | 34 |
| 7 | 2013 | 34 | |
| 8 | 2014 | 34 | |
| 9 | 2018 | 34 | |
| 10 | Vancomycin-resistant enterococcal bacteremia: comparison of clinical features and outcome between Enterococcus faecium and Enterococcus faecalis. | 2008 | 33 |
| 11 | 2015 | 31 | |
| 12 | 2015 | 30 | |
| 13 | 2015 | 29 | |
| 14 | 2017 | 25 | |
| 15 | 2016 | 24 | |
| 16 | 2021 | 21 | |
| 17 | 2018 | 19 | |
| 18 | 2019 | 19 | |
| 19 | 2013 | 18 | |
| 20 | 2019 | 18 |
About Te‐Yu Lin
Te‐Yu Lin is a scholar working on Infectious Diseases, Epidemiology, Internal Medicine, Virology and Genetics, having authored 74 papers that have together received 926 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (3 papers), Orthopedic Infections and Treatments (3 papers), HIV Research and Treatment (3 papers), Tuberculosis Research and Epidemiology (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Fungal Infections and Studies (3 papers), Hemoglobinopathies and Related Disorders (3 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Internal Medicine (28 citations), Infectious Diseases (157 citations), Endocrinology (30 citations), Molecular Medicine (36 citations) and Hepatology (49 citations). Te‐Yu Lin has collaborated with scholars based in Taiwan, China and Singapore. Frequent co-authors include Chia‐Hung Kao, Cheng‐Li Lin, Ning‐Chi Wang, Jung‐Chung Lin, Yuguang Chen, Feng‐Yee Chang, Feng‐Cheng Liu, Kuo‐Ming Yeh, Wen‐Yen Huang and Chih‐Hao Shen. Their work appears in journals such as Medicine, Journal of Microbiology Immunology and Infection, PLoS ONE, The American Journal of the Medical Sciences and Respiratory Care.
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.