Fang Lü
Impact in
- Oncology top 2%
- Viral-associated cancers and disorders
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Oncology 43
- Viral-associated cancers and disorders 24
- Co-authors
- Paul M. Lieberman (28 shared papers)Anthony M. Dart (23 shared papers)Xiao‐Lei Moore (9 shared papers)Xiao‐Jun Du (9 shared papers)Helen Kiriazis (8 shared papers)Andrew J. Taylor (6 shared papers)Andrew Murphy (4 shared papers)Zhong Deng (5 shared papers)
- Journals
- Journal of Virology (16 papers)Scientific Reports (6 papers)PLoS Pathogens (6 papers)Frontiers in Pharmacology (6 papers)Frontiers in Psychiatry (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Fang Lü
240 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 180
- Oncology 1.2k
- Cancer Research 590
- Cardiology and Cardiovascular Medicine 696
- Immunology 676
- Epidemiology 975
Countries citing papers authored by Fang Lü
This map shows the geographic impact of Fang 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 Fang Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Lü more than expected).
Fields of papers citing papers by Fang Lü
This network shows the impact of papers produced by Fang 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 Fang Lü. The network helps show where Fang Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Fang 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 260 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 190 | |
| 2 | 2015 | 188 | |
| 3 | 2010 | 184 | |
| 4 | 2004 | 159 | |
| 5 | 2003 | 150 | |
| 6 | 2006 | 121 | |
| 7 | 2008 | 121 | |
| 8 | 2007 | 120 | |
| 9 | 2015 | 116 | |
| 10 | 2017 | 109 | |
| 11 | 2007 | 104 | |
| 12 | 2010 | 99 | |
| 13 | Systemic inflammation is associated with myocardial fibrosis, diastolic dysfunction, and cardiac hypertrophy in patients with hypertrophic cardiomyopathy. | 2017 | 97 |
| 14 | 2011 | 97 | |
| 15 | 2009 | 91 | |
| 16 | 2017 | 78 | |
| 17 | 2007 | 77 | |
| 18 | 2010 | 73 | |
| 19 | 2008 | 73 | |
| 20 | 2019 | 68 |
About Fang Lü
Fang Lü is a scholar working on Oncology, Molecular Biology, Epidemiology, Immunology and Electrical and Electronic Engineering, having authored 260 papers that have together received 5.7k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (24 papers), Cytomegalovirus and herpesvirus research (14 papers), Statistical Methods and Inference (11 papers), Semiconductor materials and interfaces (11 papers), Integrated Circuits and Semiconductor Failure Analysis (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Cardiac Fibrosis and Remodeling (8 papers) and Silicon and Solar Cell Technologies (8 papers). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (590 citations), Cardiology and Cardiovascular Medicine (696 citations), Immunology (676 citations) and Epidemiology (975 citations). Fang Lü has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Paul M. Lieberman, Anthony M. Dart, Xiao‐Lei Moore, Xiao‐Jun Du, Helen Kiriazis, Andrew J. Taylor, Andrew Murphy, Zhong Deng, A. Ellims and Horng-Shen Chen. Their work appears in journals such as Journal of Virology, Scientific Reports, PLoS Pathogens, Frontiers in Pharmacology and Frontiers in Psychiatry.
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.