Jun Lü
Impact in
- Aging top 1%
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Epigenetics and DNA Methylation 27
- Histone Deacetylase Inhibitors Research 19
- RNA modifications and cancer 18
- Cancer-related gene regulation 16
- Genomics and Chromatin Dynamics 15
- Oncology 19
- Co-authors
- Baiqu Huang (75 shared papers)Yu Zhang (33 shared papers)John K. Tomfohr (1 shared paper)Thomas B. Kepler (1 shared paper)Zhongwei Li (10 shared papers)Ruosi Yao (6 shared papers)Dongxu Liu (7 shared papers)Pingfu Hou (10 shared papers)
- Journals
- Human Molecular Genetics (7 papers)PLoS ONE (6 papers)Biochemical and Biophysical Research Communications (5 papers)Scientific Reports (4 papers)Journal of Cellular Biochemistry (4 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Jun Lü
168 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 148
- Aging 164
- Cancer Research 1.1k
- Biological Psychiatry 122
- Molecular Biology 3.3k
- Behavioral Neuroscience 117
Countries citing papers authored by Jun Lü
This map shows the geographic impact of Jun 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 Jun Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lü more than expected).
Fields of papers citing papers by Jun Lü
This network shows the impact of papers produced by Jun 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 Jun Lü. The network helps show where Jun Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 303 | |
| 2 | 2005 | 294 | |
| 3 | 2016 | 272 | |
| 4 | 2012 | 218 | |
| 5 | 2011 | 168 | |
| 6 | 1996 | 149 | |
| 7 | 2020 | 132 | |
| 8 | 2014 | 118 | |
| 9 | 2013 | 111 | |
| 10 | 2005 | 109 | |
| 11 | 2016 | 97 | |
| 12 | 2017 | 96 | |
| 13 | 2019 | 94 | |
| 14 | 2010 | 85 | |
| 15 | 2011 | 82 | |
| 16 | 2017 | 74 | |
| 17 | 2007 | 68 | |
| 18 | 2007 | 66 | |
| 19 | 2008 | 65 | |
| 20 | 2002 | 64 |
About Jun Lü
Jun Lü is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 180 papers that have together received 5.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (27 papers), Histone Deacetylase Inhibitors Research (19 papers), RNA modifications and cancer (18 papers), Cancer-related gene regulation (16 papers), Genomics and Chromatin Dynamics (15 papers), Cancer-related molecular mechanisms research (10 papers), Stress Responses and Cortisol (10 papers) and Tryptophan and brain disorders (10 papers). The work is most often cited by research in Aging (164 citations), Cancer Research (1.1k citations), Biological Psychiatry (122 citations), Molecular Biology (3.3k citations) and Behavioral Neuroscience (117 citations). Jun Lü has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Baiqu Huang, Yu Zhang, John K. Tomfohr, Thomas B. Kepler, Zhongwei Li, Ruosi Yao, Dongxu Liu, Pingfu Hou, Lina Pan and Lingxia Liu. Their work appears in journals such as Human Molecular Genetics, PLoS ONE, Biochemical and Biophysical Research Communications, Scientific Reports and Journal of Cellular Biochemistry.
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.