Xiaoke Chi

646 total citations
9 papers, 454 citations indexed

About

Xiaoke Chi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Xiaoke Chi has authored 9 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Oncology. Recurrent topics in Xiaoke Chi's work include Cell death mechanisms and regulation (6 papers), RNA Interference and Gene Delivery (4 papers) and ATP Synthase and ATPases Research (4 papers). Xiaoke Chi is often cited by papers focused on Cell death mechanisms and regulation (6 papers), RNA Interference and Gene Delivery (4 papers) and ATP Synthase and ATPases Research (4 papers). Xiaoke Chi collaborates with scholars based in Canada, United States and Germany. Xiaoke Chi's co-authors include David W. Andrews, Brian Leber, Justin Kale, John A. Bachman, Joan Montero, Anthony Letai, Luv Patel, Joshua J. Sims, Peter K. Sorger and Kristopher A. Sarosiek and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Biochemical Journal.

In The Last Decade

Xiaoke Chi

9 papers receiving 450 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Xiaoke Chi Canada	9	385	59	48	42	34	9	454
Ahmed S.A. Mady United States	9	341 0.9×	114 1.9×	25 0.5×	52 1.2×	25 0.7×	13	444
Antje Dittmann Switzerland	9	295 0.8×	80 1.4×	46 1.0×	28 0.7×	38 1.1×	23	466
Jenny J. Fischer Germany	12	550 1.4×	40 0.7×	65 1.4×	25 0.6×	30 0.9×	15	643
Bodvaël Pennarun Netherlands	9	259 0.7×	69 1.2×	45 0.9×	60 1.4×	24 0.7×	12	321
Chen-Ting Ma United States	16	582 1.5×	45 0.8×	35 0.7×	24 0.6×	61 1.8×	23	665
Zenggang Li United States	10	322 0.8×	77 1.3×	26 0.5×	128 3.0×	35 1.0×	17	457
Susan Lukas United States	12	279 0.7×	74 1.3×	22 0.5×	62 1.5×	46 1.4×	14	441
Andreas U. Lindner Ireland	10	248 0.6×	102 1.7×	35 0.7×	34 0.8×	27 0.8×	21	345
Annegret Boge United States	7	376 1.0×	65 1.1×	20 0.4×	43 1.0×	59 1.7×	12	479
Victoria Izumi United States	13	432 1.1×	137 2.3×	50 1.0×	56 1.3×	56 1.6×	22	601

Countries citing papers authored by Xiaoke Chi

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Xiaoke Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoke Chi. A scholar is included among the top collaborators of Xiaoke Chi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoke Chi. Xiaoke Chi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Bogner, Christian, Justin Kale, Xiaoke Chi, et al.. (2020). Allosteric Regulation of BH3 Proteins in Bcl-xL Complexes Enables Switch-like Activation of Bax. Molecular Cell. 77(4). 901–912.e9. 28 indexed citations

2.

Chi, Xiaoke, Dang Nguyen, Elizabeth J. Osterlund, et al.. (2020). The carboxyl-terminal sequence of bim enables bax activation and killing of unprimed cells. eLife. 9. 32 indexed citations

3.

Liu, Qian, et al.. (2019). Bim escapes displacement by BH3-mimetic anti-cancer drugs by double-bolt locking both Bcl-XL and Bcl-2. eLife. 8. 48 indexed citations

4.

Chi, Xiaoke, et al.. (2016). Using Förster-Resonance Energy Transfer to Measure Protein Interactions Between Bcl-2 Family Proteins on Mitochondrial Membranes. Methods in molecular biology. 1419. 197–212. 10 indexed citations

5.

Shamas‐Din, Aisha, et al.. (2015). Distinct lipid effects on tBid and Bim activation of membrane permeabilization by pro-apoptotic Bax. Biochemical Journal. 467(3). 495–505. 53 indexed citations

6.

Kale, Justin, Xiaoke Chi, Brian Leber, & David W. Andrews. (2014). Examining the Molecular Mechanism of Bcl-2 Family Proteins at Membranes by Fluorescence Spectroscopy. Methods in enzymology on CD-ROM/Methods in enzymology. 544. 1–23. 26 indexed citations

7.

Chi, Xiaoke, Justin Kale, Brian Leber, & David W. Andrews. (2014). Regulating cell death at, on, and in membranes. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(9). 2100–2113. 55 indexed citations

8.

Sarosiek, Kristopher A., Xiaoke Chi, John A. Bachman, et al.. (2013). BID Preferentially Activates BAK while BIM Preferentially Activates BAX, Affecting Chemotherapy Response. Molecular Cell. 51(6). 751–765. 188 indexed citations

9.

Wang, Zhe, Tianhua Ma, Xiaoke Chi, & Duanqing Pei. (2007). Aromatic Residues in the C-terminal Domain 2 Are Required for Nanog to Mediate LIF-independent Self-renewal of Mouse Embryonic Stem Cells. Journal of Biological Chemistry. 283(8). 4480–4489. 14 indexed citations

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.

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