Hsu‐Feng Lu
Impact in
- Drug Discovery top 10%
- Pharmacology top 5%
- Flavonoids in Medical Research
Papers in
-
- Infections and bacterial resistance 9
- Pharmacology 10
- Flavonoids in Medical Research 7
- Co-authors
- Jing‐Gung Chung (25 shared papers)Jai‐Sing Yang (7 shared papers)Hung‐Sheng Shang (8 shared papers)Yung‐Luen Shih (15 shared papers)Po‐Yuan Chen (3 shared papers)Chia‐Yu Ma (2 shared papers)Rick Sai‐Chuen Wu (4 shared papers)Ming‐Jen Fan (2 shared papers)
- Journals
- Environmental Toxicology (15 papers)Microbiology Spectrum (3 papers)BMC Microbiology (3 papers)Journal of the Science of Food and Agriculture (2 papers)Journal of Microbiology Immunology and Infection (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Hsu‐Feng Lu
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Drug Discovery 9
- Pharmacology 207
- Biochemistry 85
- Endocrinology 39
- Molecular Medicine 57
Countries citing papers authored by Hsu‐Feng Lu
This map shows the geographic impact of Hsu‐Feng Lu'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 Hsu‐Feng Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsu‐Feng Lu more than expected).
Fields of papers citing papers by Hsu‐Feng Lu
This network shows the impact of papers produced by Hsu‐Feng Lu. 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 Hsu‐Feng Lu. The network helps show where Hsu‐Feng Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsu‐Feng Lu, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 146 | |
| 2 | 2011 | 117 | |
| 3 | 2011 | 106 | |
| 4 | 2018 | 87 | |
| 5 | 2012 | 76 | |
| 6 | 2012 | 57 | |
| 7 | 2000 | 52 | |
| 8 | 2017 | 41 | |
| 9 | 2006 | 35 | |
| 10 | 1999 | 31 | |
| 11 | 2010 | 31 | |
| 12 | 2016 | 30 | |
| 13 | 2024 | 29 | |
| 14 | 2019 | 26 | |
| 15 | 2018 | 24 | |
| 16 | 2016 | 23 | |
| 17 | 2015 | 22 | |
| 18 | 2019 | 22 | |
| 19 | 2015 | 21 | |
| 20 | 2019 | 20 |
About Hsu‐Feng Lu
Hsu‐Feng Lu is a scholar working on Endocrinology, Pharmacology, Molecular Medicine, Toxicology and Molecular Biology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Infections and bacterial resistance (9 papers), Cell death mechanisms and regulation (7 papers), Bacterial Genetics and Biotechnology (7 papers), Flavonoids in Medical Research (7 papers), Immunotoxicology and immune responses (6 papers), Bioactive Compounds and Antitumor Agents (4 papers), Curcumin's Biomedical Applications (4 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). The work is most often cited by research in Drug Discovery (9 citations), Pharmacology (207 citations), Biochemistry (85 citations), Endocrinology (39 citations) and Molecular Medicine (57 citations). Hsu‐Feng Lu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jing‐Gung Chung, Jai‐Sing Yang, Hung‐Sheng Shang, Yung‐Luen Shih, Po‐Yuan Chen, Chia‐Yu Ma, Rick Sai‐Chuen Wu, Ming‐Jen Fan, Wenwen Huang and Yung‐Lin Chu. Their work appears in journals such as Environmental Toxicology, Microbiology Spectrum, BMC Microbiology, Journal of the Science of Food and Agriculture and Journal of Microbiology Immunology and Infection.
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.