Po‐Yu Liu
- Molecular Biology
- Epidemiology top 10%
- Genetics top 10%
- Infectious Diseases top 5%
- Molecular Medicine top 1%
- Co-authors
- Yao‐Ting HuangYan‐Chiao MaoZhi‐Yuan ShiZong‐Yen WuPo‐Ren HsuehKwong‐Chung TungChin-Fu LinLiao-Chun Chiang
- Topics
- Antibiotic Resistance in Bacteria (24 papers)Rabies epidemiology and control (17 papers)Venomous Animal Envenomation and Studies (17 papers)
- Partner nations
- TaiwanUnited StatesIndonesia
In The Last Decade
Po‐Yu Liu
121 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 498
- Epidemiology 415
- Genetics 328
- Infectious Diseases 321
- Molecular Medicine 315
Countries citing papers authored by Po‐Yu Liu
This map shows the geographic impact of Po‐Yu Liu'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 Po‐Yu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Po‐Yu Liu more than expected).
Fields of papers citing papers by Po‐Yu Liu
This network shows the impact of papers produced by Po‐Yu Liu. 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 Po‐Yu Liu. The network helps show where Po‐Yu Liu may publish in the future.
Co-authorship network of co-authors of Po‐Yu Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Po‐Yu Liu. A scholar is included among the top collaborators of Po‐Yu Liu 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 Po‐Yu Liu. Po‐Yu Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | The Impact of the COVID-19 Pandemic on Respiratory Syncytial Virus Infection: A Narrative Reviewbreakdown → | 84 |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | COVID-19 Associated Bacteremia with Chryseobacterium indologenes Co-Harboring blaIND-2, blaCIA and blaCcrA | 3 |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 25 | |
| 14 | The Implementation of a Real-time Monitoring and Prediction System of PM2.5 and Influenza-Like Illness Using Deep Learning | 1 |
| 15 | 0 | |
| 16 | 4 | |
| 17 | 31 | |
| 18 | Collagen deposition assessment in burn scar tissue using second harmonic generation and multi-photon microscopy | 1 |
| 19 | 71 | |
| 20 | A case of extreme and general cutaneous light sensitivity in combination with so-called 'screen dermatitis' and 'electrosensitivity' - a successful rehabilitation after vitamin A treatment - a case report | 1 |
About Po‐Yu Liu
Po‐Yu Liu is a scholar working on Endocrinology, Molecular Medicine and Virology, having authored 135 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (24 papers), Rabies epidemiology and control (17 papers) and Venomous Animal Envenomation and Studies (17 papers). The work is most often cited by research in Molecular Medicine (315 citations), Virology (250 citations) and Endocrinology (258 citations). Po‐Yu Liu has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include Yao‐Ting Huang, Yan‐Chiao Mao, Zhi‐Yuan Shi, Zong‐Yen Wu, Po‐Ren Hsueh, Kwong‐Chung Tung, Chin-Fu Lin, Liao-Chun Chiang, Chien-Hao Tseng and Min‐Chi Lu. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood 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.