Xin Qi
Impact in
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders
- Molecular Biology top 2%
- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
Papers in
-
- Mitochondrial Function and Pathology 38
- ATP Synthase and ATPases Research 12
- Physiology 19
- Alzheimer's disease research and treatments 15
- Co-authors
- Daria Mochly‐Rosen (12 shared papers)Yu-Chin Su (4 shared papers)Marie‐Hélène Disatnik (6 shared papers)Xing Guo (6 shared papers)Nir Qvit (2 shared papers)Yu Luo (6 shared papers)Rajesh Ramachandran (8 shared papers)Di Hu (13 shared papers)
- Journals
- International Journal of Molecular Sciences (6 papers)Nature Communications (6 papers)Theriogenology (4 papers)Scientific Reports (4 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xin Qi
149 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Clinical Biochemistry 595
- Molecular Biology 3.5k
- Cell Biology 674
- Neurology 322
- Neurology 574
Countries citing papers authored by Xin Qi
This map shows the geographic impact of Xin Qi'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 Xin Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Qi more than expected).
Fields of papers citing papers by Xin Qi
This network shows the impact of papers produced by Xin Qi. 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 Xin Qi. The network helps show where Xin Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Qi, 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 386 | |
| 2 | 2013 | 292 | |
| 3 | 2013 | 278 | |
| 4 | 2004 | 242 | |
| 5 | 2010 | 223 | |
| 6 | 2013 | 186 | |
| 7 | 2016 | 160 | |
| 8 | 2020 | 137 | |
| 9 | 2016 | 131 | |
| 10 | 2015 | 130 | |
| 11 | 2014 | 129 | |
| 12 | 2003 | 96 | |
| 13 | 2014 | 96 | |
| 14 | 2015 | 81 | |
| 15 | 2008 | 81 | |
| 16 | 2004 | 79 | |
| 17 | 2019 | 78 | |
| 18 | 2015 | 78 | |
| 19 | 2015 | 78 | |
| 20 | 2015 | 76 |
About Xin Qi
Xin Qi is a scholar working on Molecular Biology, Physiology, Plant Science, Cellular and Molecular Neuroscience and Cell Biology, having authored 161 papers that have together received 5.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (38 papers), Alzheimer's disease research and treatments (15 papers), Endoplasmic Reticulum Stress and Disease (14 papers), Genetic Neurodegenerative Diseases (12 papers), ATP Synthase and ATPases Research (12 papers), Autophagy in Disease and Therapy (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Clinical Biochemistry (595 citations), Molecular Biology (3.5k citations), Cell Biology (674 citations), Neurology (322 citations) and Neurology (574 citations). Xin Qi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Daria Mochly‐Rosen, Yu-Chin Su, Marie‐Hélène Disatnik, Xing Guo, Nir Qvit, Yu Luo, Rajesh Ramachandran, Di Hu, Toru Hosoi and Yasunobu Okuma. Their work appears in journals such as International Journal of Molecular Sciences, Nature Communications, Theriogenology, Scientific Reports and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
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.