Jing Qu

210 papers receiving 9.1k citations

Hit Papers

Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2 2020 · 557 citations
5572008202620142020100200300400500

Peers

Jing Qu
Comparison fields: 5 of 170
  • Aging 630
  • Geriatrics and Gerontology 391
  • Molecular Biology 5.5k
  • Physiology 1.5k
  • Cancer Research 704
Replace Eeva‐Liisa Eskelinen with:
Eeva‐Liisa Eskelinen Finland
Isei Tanida Japan
Adrienne M. Gorman Ireland
Guo-Fan Cao China
Zvulun Elazar Israel
Takashi Ueno Japan
Benjamin A. García United States
Sergio Lavandero Chile
Satoshi Waguri Japan
Tomoki Chiba Japan
Jing Qu relative to Eeva‐Liisa Eskelinen Finland Eeva‐Liisa Eskelinen's profile →
Citations per field
00.5×2.5×
Eeva‐Liisa Eskelinen · 1×
Citations per year

Countries citing papers authored by Jing Qu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jing Qu Line = papers co-authored together Jing Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2008589
2
Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2
Hit paper breakdown →
2020557
3 2011414
4 2016378
5
The ageing epigenome and its rejuvenation
Hit paper breakdown →
2020318
6 2007244
7 2020231
8 2020208
9 2014207
10 2018201
11 2011170
12 2019157
13 2011156
14 2021151
15 2020131
16 2019123
17 2018122
18 2021119
19 2021108
20 2020105

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.

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