Xiaoke Chi
Impact in
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- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- Lipid Membrane Structure and Behavior
- Protein Degradation and Inhibitors
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- Cancer-related Molecular Pathways
Papers in
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- Cell death mechanisms and regulation 7
- RNA Interference and Gene Delivery 5
- ATP Synthase and ATPases Research 4
- Mitochondrial Function and Pathology 3
- Lipid Membrane Structure and Behavior 2
- CRISPR and Genetic Engineering 1
- Pluripotent Stem Cells Research 1
- Co-authors
- David William Andrews (9 shared papers)Brian F. Leber (7 shared papers)Justin Kale (3 shared papers)Kristopher A. Sarosiek (1 shared paper)Luv Patel (1 shared paper)Peter Karl Sorger (1 shared paper)Anthony G. Letai (1 shared paper)Joan Montero (1 shared paper)
- Journals
- eLife (2 papers)Molecular Cell (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)Journal of Biological Chemistry (1 paper)Biochemical Journal (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Xiaoke Chi
11 papers receiving 533 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 428
- Oncology 66
- Immunology 50
- Cancer Research 32
- Psychiatry and Mental health 29
Countries citing papers authored by Xiaoke Chi
This map shows the geographic impact of Xiaoke Chi'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 Xiaoke Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoke Chi more than expected).
Fields of papers citing papers by Xiaoke Chi
This network shows the impact of papers produced by Xiaoke Chi. 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 Xiaoke Chi. The network helps show where Xiaoke Chi may publish in the future.
Co-authors
The 22 scholars most cited alongside Xiaoke Chi, 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 | 2013 | 206 | |
| 2 | 2014 | 60 | |
| 3 | 2015 | 60 | |
| 4 | 2019 | 50 | |
| 5 | 2016 | 41 | |
| 6 | 2020 | 35 | |
| 7 | 2020 | 31 | |
| 8 | 2014 | 27 | |
| 9 | 2007 | 14 | |
| 10 | 2016 | 10 | |
| 11 | 2013 | 4 |
About Xiaoke Chi
Xiaoke Chi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Psychiatry and Mental health and Spectroscopy, having authored 11 papers that have together received 538 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (7 papers), RNA Interference and Gene Delivery (5 papers), ATP Synthase and ATPases Research (4 papers), Mitochondrial Function and Pathology (3 papers), Lipid Membrane Structure and Behavior (2 papers), CRISPR and Genetic Engineering (1 paper), Pluripotent Stem Cells Research (1 paper) and Carcinogens and Genotoxicity Assessment (1 paper). The work is most often cited by research in Molecular Biology (428 citations), Oncology (66 citations), Immunology (50 citations), Cancer Research (32 citations) and Psychiatry and Mental health (29 citations). Xiaoke Chi has collaborated with scholars based in Canada, United States and China. Frequent co-authors include David William Andrews, Brian F. Leber, Justin Kale, Kristopher A. Sarosiek, Luv Patel, Peter Karl Sorger, Anthony G. Letai, Joan Montero, John A. Bachman and Joshua J. Sims. Their work appears in journals such as eLife, Molecular Cell, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Journal of Biological Chemistry and Biochemical Journal.
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.