Shang‐Zhong Xu

4.8k total citations
98 papers, 4.0k citations indexed

About

Shang‐Zhong Xu is a scholar working on Molecular Biology, Sensory Systems and Genetics. According to data from OpenAlex, Shang‐Zhong Xu has authored 98 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 27 papers in Sensory Systems and 17 papers in Genetics. Recurrent topics in Shang‐Zhong Xu's work include Ion Channels and Receptors (27 papers), Neurobiology and Insect Physiology Research (10 papers) and Genetic and phenotypic traits in livestock (10 papers). Shang‐Zhong Xu is often cited by papers focused on Ion Channels and Receptors (27 papers), Neurobiology and Insect Physiology Research (10 papers) and Genetic and phenotypic traits in livestock (10 papers). Shang‐Zhong Xu collaborates with scholars based in China, United Kingdom and United States. Shang‐Zhong Xu's co-authors include David J. Beech, Damian McHugh, Fanning Zeng, Xue Gao, Bo Zeng, Guylain Boulay, Junya Li, R. Flemming, Stephen L. Atkin and Maria F. Gomez and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Circulation.

In The Last Decade

Shang‐Zhong Xu

95 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shang‐Zhong Xu China 35 1.9k 1.8k 861 484 415 98 4.0k
Pierre Launay France 42 1.9k 1.0× 1.9k 1.1× 430 0.5× 877 1.8× 431 1.0× 71 5.8k
Ulrich Wissenbach Germany 34 3.4k 1.8× 2.3k 1.3× 1.4k 1.6× 1.1k 2.2× 484 1.2× 64 4.8k
Brij B. Singh United States 45 3.1k 1.7× 3.1k 1.7× 1.6k 1.8× 867 1.8× 709 1.7× 116 6.3k
Tim Plant Germany 24 1.9k 1.0× 1.6k 0.9× 985 1.1× 482 1.0× 510 1.2× 36 3.4k
Gabriel Bidaux France 28 1.5k 0.8× 1.7k 0.9× 650 0.8× 357 0.7× 327 0.8× 75 3.1k
José J. López Spain 32 1.5k 0.8× 1.1k 0.6× 664 0.8× 166 0.3× 295 0.7× 98 3.0k
Sonal Srikanth United States 29 4.0k 2.1× 2.9k 1.6× 1.9k 2.2× 411 0.8× 479 1.2× 52 6.3k
Jonathan Soboloff United States 37 4.1k 2.2× 3.0k 1.7× 1.9k 2.2× 457 0.9× 583 1.4× 86 6.2k
Zoltán Oláh Hungary 32 1.2k 0.6× 1.6k 0.9× 660 0.8× 209 0.4× 1.0k 2.4× 81 3.5k
Maud Frieden Switzerland 30 698 0.4× 2.1k 1.1× 647 0.8× 98 0.2× 587 1.4× 61 3.0k

Countries citing papers authored by Shang‐Zhong Xu

Since Specialization
Citations

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

Fields of papers citing papers by Shang‐Zhong Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shang‐Zhong Xu. 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 Shang‐Zhong Xu. The network helps show where Shang‐Zhong Xu may publish in the future.

Co-authorship network of co-authors of Shang‐Zhong Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Shang‐Zhong Xu. A scholar is included among the top collaborators of Shang‐Zhong Xu 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 Shang‐Zhong Xu. Shang‐Zhong Xu 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
1.
Zhang, Yi, Boxun Li, Minghua Wang, et al.. (2025). High modulation depth 3-bit graphene encoder and multi-channel optical switch based on double plasmon-induced transparency. Diamond and Related Materials. 159. 112926–112926.
2.
Chen, Guilan, et al.. (2023). Ca2+ Influx through TRPC Channels Is Regulated by Homocysteine–Copper Complexes. Biomolecules. 13(6). 952–952. 3 indexed citations
3.
Rollason, Ruth, Daniel J. Whitcomb, Lan Ni, et al.. (2019). TRPC6 Binds to and Activates Calpain, Independent of Its Channel Activity, and Regulates Podocyte Cytoskeleton, Cell Adhesion, and Motility. Journal of the American Society of Nephrology. 30(10). 1910–1924. 62 indexed citations
4.
5.
Zhou, Qi, et al.. (2016). Correlation analysis of different calcified thyroid nodules with age and gender by contrast-enhanced ultrasound. Zhonghua chaosheng yingxiangxue zazhi. 25(4). 313–317. 1 indexed citations
6.
Jiang, Jue, et al.. (2015). Diagnostic value of contrast‐enhanced ultrasound in thyroid nodules with calcification. The Kaohsiung Journal of Medical Sciences. 31(3). 138–144. 36 indexed citations
7.
Chen, Cui, Zhengrong Yuan, Xiaojie Chen, et al.. (2013). Genetic polymorphisms of Mc4R and IGF2 gene association with feed conversion efficiency traits in beef cattle.. Pakistan Veterinary Journal. 33(4). 418–422. 8 indexed citations
8.
Zeng, Bo, Guilan Chen, & Shang‐Zhong Xu. (2012). Divalent copper is a potent extracellular blocker for TRPM2 channel. Biochemical and Biophysical Research Communications. 424(2). 279–284. 27 indexed citations
9.
Wang, Xingping, et al.. (2008). Cloning and SNP screening of the TLR4 gene and the association between its polymorphism and somatic cell score in dairy cattle. South African Journal of Animal Science. 38(2). 101–109. 24 indexed citations
10.
Zhang, Lupei, Shang‐Zhong Xu, Hengde Li, et al.. (2008). Association of LXRA gene variants with carcass and meat quality traits in beef cattle. AFRICAN JOURNAL OF BIOTECHNOLOGY. 7(20). 3546–3549. 3 indexed citations
11.
Wang, Xingping, Shang‐Zhong Xu, Tenghe Ma, et al.. (2007). Genetic Polymorphism of TLR4 Gene and Correlation with Mastitis in Bovine. 38(2). 120–124. 1 indexed citations
12.
Li, Qiuling, Shang‐Zhong Xu, & Linsen Zan. (2007). Study on the Polymorphism of UCP3 Gene and Its Correlation with Biochemical Index in Blood Serum in Bovine. 2 indexed citations
13.
Kumar, Bhaskar, Karl Dreja, Samir S. Shah, et al.. (2006). Upregulated TRPC1 Channel in Vascular Injury In Vivo and Its Role in Human Neointimal Hyperplasia. Circulation Research. 98(4). 557–563. 168 indexed citations
14.
Yoo, Shin, Halina Dobrzynski, Vadim V. Fedorov, et al.. (2006). Localization of Na + Channel Isoforms at the Atrioventricular Junction and Atrioventricular Node in the Rat. Circulation. 114(13). 1360–1371. 58 indexed citations
15.
Gao, Xue, et al.. (2006). Effects of the K232A substitution at DGAT1 gene on some economic traits in 3 Chinese dairy cattle. Xibei Nong-Lin Keji Daxue xuebao. Ziran kexue ban. 1 indexed citations
16.
Zhang, Limei, et al.. (2005). Phosphorus nutrient characteristics of different maize ({\sl Zeamays} L.) inbreds for tolerance to low--P stress. Agricultural Sciences in China. 4(4). 281–287. 2 indexed citations
17.
Zeng, Fanning, Shang‐Zhong Xu, Damian McHugh, et al.. (2004). Human TRPC5 channel activated by a multiplicity of signals in a single cell. The Journal of Physiology. 559(3). 739–750. 107 indexed citations
18.
Xu, Shang‐Zhong, et al.. (2004). Genetic Variation in Intron2 of H-FABP Gene in Three Bovine Hybrids and the Relationships with Meat Quality Traits. Xumu shouyi xuebao. 35(3). 252–255. 2 indexed citations
19.
McHugh, Damian, et al.. (2003). Critical Intracellular Ca2+ Dependence of Transient Receptor Potential Melastatin 2 (TRPM2) Cation Channel Activation. Journal of Biological Chemistry. 278(13). 11002–11006. 245 indexed citations
20.
Li, Jiansheng, et al.. (2002). Rhizoctonia spp associated with corn sheath blight in Hubei Province. 21(3). 419–424. 2 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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