Cunqi Ye
Impact in
- Aging top 10%
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
-
- Mitochondrial Function and Pathology 10
- ATP Synthase and ATPases Research 5
- Epigenetics and DNA Methylation 4
- Photosynthetic Processes and Mechanisms 4
- RNA modifications and cancer 4
- Fungal and yeast genetics research 3
-
- Lipid metabolism and biosynthesis 5
- Co-authors
- Benjamin P. Tu (4 shared papers)Miriam L. Greenberg (8 shared papers)Zheng Kuang (3 shared papers)Benjamin M. Sutter (2 shared papers)Yun Wang (1 shared paper)Cassie L. Behrendt (1 shared paper)Yuhao Wang (1 shared paper)Kelly A. Ruhn (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Nature Communications (3 papers)Cell Reports (3 papers)Molecular Cell (3 papers)Nature Chemical Biology (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Cunqi Ye
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 104
- Aging 34
- Biochemistry 123
- Clinical Biochemistry 93
- Endocrine and Autonomic Systems 84
- Biological Psychiatry 29
Countries citing papers authored by Cunqi Ye
This map shows the geographic impact of Cunqi Ye'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 Cunqi Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cunqi Ye more than expected).
Fields of papers citing papers by Cunqi Ye
This network shows the impact of papers produced by Cunqi Ye. 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 Cunqi Ye. The network helps show where Cunqi Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Cunqi Ye, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 245 | |
| 2 | 2017 | 185 | |
| 3 | 2021 | 139 | |
| 4 | 2018 | 102 | |
| 5 | 2014 | 84 | |
| 6 | 2015 | 81 | |
| 7 | 2020 | 60 | |
| 8 | 2022 | 56 | |
| 9 | 2013 | 54 | |
| 10 | 2019 | 42 | |
| 11 | 2013 | 39 | |
| 12 | 2024 | 32 | |
| 13 | 2023 | 30 | |
| 14 | 2016 | 23 | |
| 15 | 2020 | 20 | |
| 16 | 2024 | 18 | |
| 17 | 2024 | 18 | |
| 18 | 2024 | 16 | |
| 19 | 2022 | 16 | |
| 20 | 2022 | 14 |
About Cunqi Ye
Cunqi Ye is a scholar working on Molecular Biology, Biochemistry, Cell Biology, Physiology and Plant Science, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (10 papers), ATP Synthase and ATPases Research (5 papers), Lipid metabolism and biosynthesis (5 papers), Epigenetics and DNA Methylation (4 papers), Photosynthetic Processes and Mechanisms (4 papers), RNA modifications and cancer (4 papers), Fungal and yeast genetics research (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Aging (34 citations), Biochemistry (123 citations), Clinical Biochemistry (93 citations), Endocrine and Autonomic Systems (84 citations) and Biological Psychiatry (29 citations). Cunqi Ye has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Benjamin P. Tu, Miriam L. Greenberg, Zheng Kuang, Benjamin M. Sutter, Yun Wang, Cassie L. Behrendt, Yuhao Wang, Kelly A. Ruhn, Lora V. Hooper and Eric N. Olson. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Cell Reports, Molecular Cell and Nature Chemical Biology.
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.