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
Papers in
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- Cell death mechanisms and regulation 6
- ATP Synthase and ATPases Research 4
- RNA Interference and Gene Delivery 4
- Mitochondrial Function and Pathology 3
- Lipid Membrane Structure and Behavior 2
- Metabolomics and Mass Spectrometry Studies 1
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- Neuroscience and Neuropharmacology Research 1
- Co-authors
- David W. Andrews (8 shared papers)Brian Leber (6 shared papers)Justin Kale (3 shared papers)Luv Patel (1 shared paper)Kristopher A. Sarosiek (1 shared paper)Peter K. Sorger (1 shared paper)John A. Bachman (1 shared paper)Anthony Letai (1 shared paper)
- Journals
- Molecular Cell (2 papers)eLife (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Xiaoke Chi
9 papers receiving 450 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 385
- Toxicology 8
- Oncology 59
- Cell Biology 34
- Cancer Research 30
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 | 188 | |
| 2 | 2014 | 55 | |
| 3 | 2015 | 53 | |
| 4 | 2019 | 48 | |
| 5 | 2020 | 32 | |
| 6 | 2020 | 28 | |
| 7 | 2014 | 26 | |
| 8 | 2007 | 14 | |
| 9 | 2016 | 10 |
About Xiaoke Chi
Xiaoke Chi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Spectroscopy and Cancer Research, having authored 9 papers that have together received 454 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), ATP Synthase and ATPases Research (4 papers), RNA Interference and Gene Delivery (4 papers), Mitochondrial Function and Pathology (3 papers), Lipid Membrane Structure and Behavior (2 papers), PARP inhibition in cancer therapy (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Molecular Biology (385 citations), Toxicology (8 citations), Oncology (59 citations), Cell Biology (34 citations) and Cancer Research (30 citations). Xiaoke Chi has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include David W. Andrews, Brian Leber, Justin Kale, Luv Patel, Kristopher A. Sarosiek, Peter K. Sorger, John A. Bachman, Anthony Letai, Joan Montero and Joshua J. Sims. Their work appears in journals such as Molecular Cell, eLife, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Methods in enzymology on CD-ROM/Methods in enzymology and Journal of Biological Chemistry.
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.