Xiping Cheng

6.1k total citations · 3 hit papers
37 papers, 3.9k citations indexed

About

Xiping Cheng is a scholar working on Physiology, Molecular Biology and Sensory Systems. According to data from OpenAlex, Xiping Cheng has authored 37 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 10 papers in Molecular Biology and 8 papers in Sensory Systems. Recurrent topics in Xiping Cheng's work include Calcium signaling and nucleotide metabolism (11 papers), Ion Channels and Receptors (8 papers) and Cellular transport and secretion (4 papers). Xiping Cheng is often cited by papers focused on Calcium signaling and nucleotide metabolism (11 papers), Ion Channels and Receptors (8 papers) and Cellular transport and secretion (4 papers). Xiping Cheng collaborates with scholars based in United States, China and Sweden. Xiping Cheng's co-authors include Haoxing Xu, Xian‐Ping Dong, Markus Delling, Dongbiao Shen, Xiaoli Zhang, Mohammad Samie, Xiang Wang, Qiong Gao, Fudi Wang and Tino Kurz and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Xiping Cheng

34 papers receiving 3.9k citations

Hit Papers

PI(3,5)P2 controls membrane trafficking by direct activat... 2010 2026 2015 2020 2010 2016 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiping Cheng United States 21 1.8k 1.2k 964 866 720 37 3.9k
Katja Rietdorf United Kingdom 18 1.2k 0.7× 1.0k 0.8× 622 0.6× 491 0.6× 323 0.4× 32 2.5k
Ehud Goldin United States 31 741 0.4× 1.2k 1.0× 326 0.3× 1.2k 1.3× 405 0.6× 70 3.4k
Yandong Zhou United States 26 699 0.4× 1.1k 0.9× 1.1k 1.2× 299 0.3× 198 0.3× 49 2.7k
Brij B. Singh United States 45 431 0.2× 3.1k 2.5× 3.1k 3.3× 737 0.9× 288 0.4× 116 6.3k
Steven U. Walkley United States 44 1.2k 0.7× 2.0k 1.6× 164 0.2× 1.8k 2.1× 1.3k 1.8× 109 6.3k
Jonathan Soboloff United States 37 369 0.2× 3.0k 2.4× 4.1k 4.2× 373 0.4× 163 0.2× 86 6.2k
Xiang Luo United States 33 386 0.2× 2.2k 1.8× 243 0.3× 521 0.6× 557 0.8× 47 4.0k
Geert Callewaert Belgium 39 390 0.2× 2.5k 2.1× 362 0.4× 669 0.8× 256 0.4× 90 4.1k
Anant B. Parekh United Kingdom 31 531 0.3× 3.5k 2.8× 2.7k 2.8× 388 0.4× 79 0.1× 70 5.5k
Erik Gylfe Sweden 48 635 0.3× 3.5k 2.8× 188 0.2× 512 0.6× 159 0.2× 202 6.8k

Countries citing papers authored by Xiping Cheng

Since Specialization
Citations

This map shows the geographic impact of Xiping Cheng'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 Xiping Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiping Cheng more than expected).

Fields of papers citing papers by Xiping Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiping Cheng. 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 Xiping Cheng. The network helps show where Xiping Cheng may publish in the future.

Co-authorship network of co-authors of Xiping Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiping Cheng. A scholar is included among the top collaborators of Xiping Cheng 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 Xiping Cheng. Xiping Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Su, Qi, Sun Y. Kim, Ye Zhou, et al.. (2021). Single-cell RNA transcriptome landscape of hepatocytes and non-parenchymal cells in healthy and NAFLD mouse liver. iScience. 24(11). 103233–103233. 72 indexed citations
4.
Liu, Changhong, Yingnan Sun, Xiaoling She, et al.. (2017). CASC2c as an unfavorable prognosis factor interacts with miR-101 to mediate astrocytoma tumorigenesis. Cell Death and Disease. 8(3). e2639–e2639. 29 indexed citations
5.
Li, Xinran, Nicholas R. Rydzewski, Ahmad Hider, et al.. (2016). A molecular mechanism to regulate lysosome motility for lysosome positioning and tubulation. Nature Cell Biology. 18(4). 404–417. 292 indexed citations
6.
Zhang, Xiaoli, Xiping Cheng, Lu Yu, et al.. (2016). MCOLN1 is a ROS sensor in lysosomes that regulates autophagy. Nature Communications. 7(1). 12109–12109. 433 indexed citations breakdown →
7.
Xu, Gang, Rong Wang, Zeyou Wang, et al.. (2015). NGL-2 Is a New Partner of PAR Complex in Axon Differentiation. Journal of Neuroscience. 35(18). 7153–7164. 13 indexed citations
8.
Cheng, Xiping, Xiaoli Zhang, Lu Yu, & Haoxing Xu. (2015). Calcium signaling in membrane repair. Seminars in Cell and Developmental Biology. 45. 24–31. 72 indexed citations
9.
Cheng, Xiping, Xiaoli Zhang, Qiong Gao, et al.. (2014). The intracellular Ca2+ channel MCOLN1 is required for sarcolemma repair to prevent muscular dystrophy. Nature Medicine. 20(10). 1187–1192. 97 indexed citations
10.
Wang, Xiang, Xiaoli Zhang, Xian‐Ping Dong, et al.. (2012). TPC Proteins Are Phosphoinositide- Activated Sodium-Selective Ion Channels in Endosomes and Lysosomes. Cell. 151(2). 372–383. 419 indexed citations breakdown →
11.
Dong, Xian‐Ping, Dongbiao Shen, Xiang Wang, et al.. (2010). PI(3,5)P2 controls membrane trafficking by direct activation of mucolipin Ca2+ release channels in the endolysosome. Nature Communications. 1(1). 38–38. 484 indexed citations breakdown →
12.
Cheng, Xiping, Dongbiao Shen, Mohammad Samie, & Haoxing Xu. (2010). Mucolipins: Intracellular TRPML1‐3 channels. FEBS Letters. 584(10). 2013–2021. 202 indexed citations
13.
Cheng, Xiping, Jie Jin, Dongbiao Shen, et al.. (2010). TRP Channel Regulates EGFR Signaling in Hair Morphogenesis and Skin Barrier Formation. Cell. 141(2). 331–343. 253 indexed citations
14.
Dong, Xian‐Ping, Xiping Cheng, Markus Delling, et al.. (2009). The Type IV Mucolipidosis-Associated Protein TRPML1 is an Endolysosomal Iron Release Channel. Biophysical Journal. 96(3). 266a–266a. 16 indexed citations
15.
Yang, Hao, Xiping Cheng, Jingwen Li, Yao Qin, & Gong Ju. (2009). De-differentiation Response of Cultured Astrocytes to Injury Induced by Scratch or Conditioned Culture Medium of Scratch-Insulted Astrocytes. Cellular and Molecular Neurobiology. 29(4). 455–473. 56 indexed citations
16.
Dong, Xian‐Ping, Xiang Wang, Dongbiao Shen, et al.. (2009). Activating Mutations of the TRPML1 Channel Revealed by Proline-scanning Mutagenesis. Journal of Biological Chemistry. 284(46). 32040–32052. 98 indexed citations
17.
Song, Chaojun, Xiping Cheng, Xuesong Liu, et al.. (2003). [Preparation and characterization of monoclonal antibodies against rat Nogo molecule].. PubMed. 19(6). 567–9. 2 indexed citations
18.
Xiao, Huasheng, Qiuhua Huang, Fang‐Xiong Zhang, et al.. (2002). Identification of gene expression profile of dorsal root ganglion in the rat peripheral axotomy model of neuropathic pain. Proceedings of the National Academy of Sciences. 99(12). 8360–8365. 417 indexed citations
19.
Cheng, Xiping, Christian Broberger, Yong‐Guang Tong, et al.. (1998). Regulation of expression of neuropeptide Y Y1 and Y2 receptors in the arcuate nucleus of fasted rats. Brain Research. 792(1). 89–96. 32 indexed citations
20.
Xu, Qing, Tiejun Shi, Marc Landry, et al.. (1998). Regulation of Expression of Galanin and Galanin Receptors in Dorsal Root Ganglia and Spinal Cord after Axotomy and Inflammation a. Annals of the New York Academy of Sciences. 863(1). 402–413. 80 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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