Jia-Hua Qu
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
-
- Ubiquitin and proteasome pathways 3
- ATP Synthase and ATPases Research 3
- 14-3-3 protein interactions 2
- Mitochondrial Function and Pathology 2
- Congenital heart defects research 2
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- Cardiac Fibrosis and Remodeling 3
- Co-authors
- Sichong Ren (2 shared papers)Xiaoqiang Tang (2 shared papers)Xiaofeng Chen (2 shared papers)De‐Pei Liu (2 shared papers)Jian-Fei Pei (2 shared papers)Xiaoman Wang (2 shared papers)De‐Long Hao (2 shared papers)Hou‐Zao Chen (2 shared papers)
- Journals
- Biophysical Journal (2 papers)eLife (2 papers)iScience (1 paper)The FASEB Journal (1 paper)Human Genetics (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Jia-Hua Qu
15 papers receiving 237 citations
Peers
Comparison fields: 5 of 65
- Aging 19
- Endocrine and Autonomic Systems 37
- Geriatrics and Gerontology 18
- Biological Psychiatry 6
- Physiology 57
Countries citing papers authored by Jia-Hua Qu
This map shows the geographic impact of Jia-Hua 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 Jia-Hua Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia-Hua Qu more than expected).
Fields of papers citing papers by Jia-Hua Qu
This network shows the impact of papers produced by Jia-Hua 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 Jia-Hua Qu. The network helps show where Jia-Hua Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia-Hua 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 91 | |
| 2 | 2023 | 47 | |
| 3 | 2019 | 38 | |
| 4 | 2022 | 26 | |
| 5 | 2022 | 12 | |
| 6 | 2023 | 8 | |
| 7 | 2024 | 7 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2022 | 0 | |
| 19 | 2023 | 0 |
About Jia-Hua Qu
Jia-Hua Qu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Aging and Epidemiology, having authored 19 papers that have together received 239 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Ubiquitin and proteasome pathways (3 papers), Cardiac Fibrosis and Remodeling (3 papers), ATP Synthase and ATPases Research (3 papers), 14-3-3 protein interactions (2 papers), Mitochondrial Function and Pathology (2 papers), Congenital heart defects research (2 papers) and Diet and metabolism studies (1 paper). The work is most often cited by research in Aging (19 citations), Endocrine and Autonomic Systems (37 citations), Geriatrics and Gerontology (18 citations), Biological Psychiatry (6 citations) and Physiology (57 citations). Jia-Hua Qu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Sichong Ren, Xiaoqiang Tang, Xiaofeng Chen, De‐Pei Liu, Jian-Fei Pei, Xiaoman Wang, De‐Long Hao, Hou‐Zao Chen, Md. Shenuarin Bhuiyan and Yang-Nan Ding. Their work appears in journals such as Biophysical Journal, eLife, iScience, The FASEB Journal and Human Genetics.
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.