Jing Qu
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 0.5%
Papers in
-
- CRISPR and Genetic Engineering 28
- Pluripotent Stem Cells Research 27
- Epigenetics and DNA Methylation 21
- RNA Research and Splicing 15
- Single-cell and spatial transcriptomics 13
- Nuclear Structure and Function 11
- Physiology 35
- Telomeres, Telomerase, and Senescence 19
- Co-authors
- Guang‐Hui Liu (117 shared papers)Weiqi Zhang (87 shared papers)Juan Carlos Izpisúa Belmonte (57 shared papers)Xun Shen (2 shared papers)Moshi Song (30 shared papers)Jian Ye (17 shared papers)Si Wang (62 shared papers)Zeming Wu (21 shared papers)
- Journals
- Protein & Cell (39 papers)Nucleic Acids Research (8 papers)Nature Aging (5 papers)Science China Life Sciences (5 papers)Cell Research (5 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Jing Qu
216 papers receiving 9.5k citations
Jing Qu's Hit Papers
Peers
Comparison fields: 5 of 169
- Aging 618
- Geriatrics and Gerontology 390
- Molecular Biology 5.3k
- Physiology 1.4k
- Cancer Research 636
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 232 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 | 603 |
| 2 | Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2 Hit paper breakdown → | 2020 | 558 |
| 3 | 2011 | 419 | |
| 4 | 2016 | 385 | |
| 5 | The ageing epigenome and its rejuvenation Hit paper breakdown → | 2020 | 326 |
| 6 | 2007 | 244 | |
| 7 | 2020 | 244 | |
| 8 | 2020 | 232 | |
| 9 | 2014 | 215 | |
| 10 | 2018 | 209 | |
| 11 | Mitochondrial sirtuins, metabolism, and aging Hit paper breakdown → | 2021 | 172 |
| 12 | 2011 | 170 | |
| 13 | 2019 | 165 | |
| 14 | 2011 | 159 | |
| 15 | 2020 | 139 | |
| 16 | 2021 | 130 | |
| 17 | 2018 | 126 | |
| 18 | 2019 | 124 | |
| 19 | 2021 | 113 | |
| 20 | 2020 | 110 |
About Jing Qu
Jing Qu is a scholar working on Molecular Biology, Physiology, Plant Science, Aging and Immunology, having authored 232 papers that have together received 9.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (28 papers), Pluripotent Stem Cells Research (27 papers), Epigenetics and DNA Methylation (21 papers), Telomeres, Telomerase, and Senescence (19 papers), Genetics, Aging, and Longevity in Model Organisms (19 papers), RNA Research and Splicing (15 papers), Single-cell and spatial transcriptomics (13 papers) and Nuclear Structure and Function (11 papers). The work is most often cited by research in Aging (618 citations), Geriatrics and Gerontology (390 citations), Molecular Biology (5.3k citations), Physiology (1.4k citations) and Cancer Research (636 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, Zeming Wu, Zunpeng Liu and Rongxiang Fang. Their work appears in journals such as Protein & Cell, Nucleic Acids Research, Nature Aging, Science China Life Sciences and Cell Research.
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.