Jing Qu
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 0.5%
Papers in ⓘ
- Aging 19
- Genetics, Aging, and Longevity in Model Organisms 19
- Co-authors
- Guang‐Hui Liu (116 shared papers)Weiqi Zhang (85 shared papers)Juan Carlos Izpisúa Belmonte (51 shared papers)Xun Shen (2 shared papers)Moshi Song (30 shared papers)Jian Ye (17 shared papers)Si Wang (61 shared papers)Zunpeng Liu (28 shared papers)
- Journals
- Protein & Cell (39 papers)Nucleic Acids Research (8 papers)Cell Research (5 papers)Biotechnology for Biofuels (4 papers)Science China Life Sciences (4 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Jing Qu
210 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Aging 630
- Geriatrics and Gerontology 391
- Molecular Biology 5.5k
- Physiology 1.5k
- Cancer Research 704
Countries citing papers authored by Jing Qu
This map shows the geographic impact of Jing Qu'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 Jing Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Qu more than expected).
Fields of papers citing papers by Jing Qu
This network shows the impact of papers produced by Jing Qu. 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 Jing Qu. The network helps show where Jing Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Qu, 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 225 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | NF-κB/p65 antagonizes Nrf2-ARE pathway by depriving CBP from Nrf2 and facilitating recruitment of HDAC3 to MafK Hit paper breakdown → | 2008 | 589 |
| 2 | Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2 Hit paper breakdown → | 2020 | 557 |
| 3 | 2011 | 414 | |
| 4 | 2016 | 378 | |
| 5 | The ageing epigenome and its rejuvenation Hit paper breakdown → | 2020 | 318 |
| 6 | 2007 | 244 | |
| 7 | 2020 | 231 | |
| 8 | 2020 | 208 | |
| 9 | 2014 | 207 | |
| 10 | 2018 | 201 | |
| 11 | 2011 | 170 | |
| 12 | 2019 | 157 | |
| 13 | 2011 | 156 | |
| 14 | 2021 | 151 | |
| 15 | 2020 | 131 | |
| 16 | 2019 | 123 | |
| 17 | 2018 | 122 | |
| 18 | 2021 | 119 | |
| 19 | 2021 | 108 | |
| 20 | 2020 | 105 |
About Jing Qu
Jing Qu is a scholar working on Aging, Geriatrics and Gerontology, Molecular Biology, Otorhinolaryngology and Physiology, having authored 225 papers that have together received 9.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (29 papers), Pluripotent Stem Cells Research (27 papers), Epigenetics and DNA Methylation (21 papers), Genetics, Aging, and Longevity in Model Organisms (19 papers), Telomeres, Telomerase, and Senescence (19 papers), RNA Research and Splicing (15 papers), Single-cell and spatial transcriptomics (13 papers) and RNA modifications and cancer (12 papers). The work is most often cited by research in Aging (630 citations), Geriatrics and Gerontology (391 citations), Molecular Biology (5.5k citations), Physiology (1.5k citations) and Cancer Research (704 citations). Jing Qu has collaborated with scholars based in China, United States and India. Frequent co-authors include Guang‐Hui Liu, Weiqi Zhang, Juan Carlos Izpisúa Belmonte, Xun Shen, Moshi Song, Jian Ye, Si Wang, Zunpeng Liu, Zeming Wu and Rongxiang Fang. Their work appears in journals such as Protein & Cell, Nucleic Acids Research, Cell Research, Biotechnology for Biofuels and Science China Life Sciences.
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.