Feng Lü
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Bacterial biofilms and quorum sensing 7
- RNA modifications and cancer 5
- Circular RNAs in diseases 4
-
- Ferroptosis and cancer prognosis 4
- Co-authors
- Shu‐Qiang Zhu (8 shared papers)Bai‐Quan Qiu (8 shared papers)Xiang Long (7 shared papers)Yongbing Wu (8 shared papers)Kun Lin (6 shared papers)Xu Pei (5 shared papers)Xinlong He (8 shared papers)Shiwei Chen (4 shared papers)
- Journals
- Aging (3 papers)Microbiology Spectrum (2 papers)Microbial Pathogenesis (2 papers)Frontiers in Genetics (2 papers)Molecular Cancer (2 papers)
- Partner nations
- ChinaUnited KingdomSouth Korea
In The Last Decade
Feng Lü
69 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Molecular Medicine 161
- Cancer Research 313
- Endocrinology 87
- Microbiology 65
- Molecular Biology 634
Countries citing papers authored by Feng Lü
This map shows the geographic impact of Feng Lü'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 Feng Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Lü more than expected).
Fields of papers citing papers by Feng Lü
This network shows the impact of papers produced by Feng Lü. 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 Feng Lü. The network helps show where Feng Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Lü, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 199 | |
| 2 | 2015 | 156 | |
| 3 | 2022 | 88 | |
| 4 | 2016 | 63 | |
| 5 | 2020 | 60 | |
| 6 | 2020 | 53 | |
| 7 | 2007 | 50 | |
| 8 | 2017 | 43 | |
| 9 | 2016 | 38 | |
| 10 | 2020 | 33 | |
| 11 | 2019 | 23 | |
| 12 | 2022 | 22 | |
| 13 | 2021 | 17 | |
| 14 | 2022 | 17 | |
| 15 | 2019 | 16 | |
| 16 | 2021 | 14 | |
| 17 | 2022 | 13 | |
| 18 | 2021 | 12 | |
| 19 | Fatty acid desaturase 1 polymorphisms are associated with coronary heart disease in a Chinese population. | 2012 | 12 |
| 20 | 2020 | 11 |
About Feng Lü
Feng Lü is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 77 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (7 papers), RNA modifications and cancer (5 papers), Climate Change and Health Impacts (5 papers), Circular RNAs in diseases (4 papers), Dermatologic Treatments and Research (4 papers), Ferroptosis and cancer prognosis (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Molecular Medicine (161 citations), Cancer Research (313 citations), Endocrinology (87 citations), Microbiology (65 citations) and Molecular Biology (634 citations). Feng Lü has collaborated with scholars based in China, United Kingdom and South Korea. Frequent co-authors include Shu‐Qiang Zhu, Bai‐Quan Qiu, Xiang Long, Yongbing Wu, Kun Lin, Xu Pei, Xinlong He, Shiwei Chen, Jianjun Xu and Jun Cao. Their work appears in journals such as Aging, Microbiology Spectrum, Microbial Pathogenesis, Frontiers in Genetics and Molecular Cancer.
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.