Zhangchuan Xia

583 total citations · 1 hit paper
15 papers, 411 citations indexed

About

Zhangchuan Xia is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Zhangchuan Xia has authored 15 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Zhangchuan Xia's work include interferon and immune responses (7 papers), Immune Response and Inflammation (3 papers) and Cancer-related molecular mechanisms research (3 papers). Zhangchuan Xia is often cited by papers focused on interferon and immune responses (7 papers), Immune Response and Inflammation (3 papers) and Cancer-related molecular mechanisms research (3 papers). Zhangchuan Xia collaborates with scholars based in China, United States and Germany. Zhangchuan Xia's co-authors include Ying Zhu, Nanfang Peng, Gang Xu, Zhikui Cheng, Shi Liu, Xiaodan Yang, Wei Gu, Shi Liu, Richard L Stevens and DS Friend and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Zhangchuan Xia

14 papers receiving 409 citations

Hit Papers

Nociceptive neurons promo... 2025 2026 2025 5 10 15 20 25
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nociceptive neurons promote gastric tumour progression via a CGRP–RAMP1 axis
    2025 29 citations Xiaofei Zhi, Ermanno Malagola et al. Nature profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zhangchuan Xia 180 174 95 58 51 15 411
Shen Dai 322 1.8× 173 1.0× 182 1.9× 35 0.6× 69 1.4× 18 640
Songcheng Ying 218 1.2× 179 1.0× 113 1.2× 69 1.2× 74 1.5× 28 485
María Inmaculada Domínguez‐Mozo 168 0.9× 129 0.7× 163 1.7× 22 0.4× 139 2.7× 40 575
Florence Le Roy 430 2.4× 110 0.6× 55 0.6× 61 1.1× 125 2.5× 19 630
Netta Golenberg 161 0.9× 85 0.5× 87 0.9× 40 0.7× 25 0.5× 7 337
Yoshimi Fukushima 383 2.1× 209 1.2× 80 0.8× 180 3.1× 60 1.2× 14 615
Roli Mandhana 156 0.9× 225 1.3× 53 0.6× 66 1.1× 103 2.0× 7 383
Wenping Kao 167 0.9× 219 1.3× 50 0.5× 96 1.7× 65 1.3× 16 431
Leike Li 155 0.9× 123 0.7× 135 1.4× 40 0.7× 55 1.1× 24 498
Taeyun A. Lee 189 1.1× 174 1.0× 157 1.7× 45 0.8× 23 0.5× 13 389

Countries citing papers authored by Zhangchuan Xia

Since Specialization
Citations

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

Fields of papers citing papers by Zhangchuan Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhangchuan Xia

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

All Works

15 of 15 papers shown
1.
Xia, Zhangchuan, Ning Kon, Zhenyi Su, et al.. (2025). The PURB–HOTAIR complex regulates p53-dependent promoter-specific transcriptional activation. Nature Structural & Molecular Biology. 32(9). 1669–1682.
2.
Zhi, Xiaofei, Ermanno Malagola, Biyun Zheng, et al.. (2025). Nociceptive neurons promote gastric tumour progression via a CGRP–RAMP1 axis. Nature. 640(8059). 802–810. 29 indexed citations breakdown →
3.
Su, Zhenyi, Yanqing Liu, Zhangchuan Xia, Anil K. Rustgi, & Wei Gu. (2024). An unexpected role for the ketogenic diet in triggering tumor metastasis by modulating BACH1-mediated transcription. Science Advances. 10(23). eadm9481–eadm9481. 11 indexed citations
4.
Xia, Zhangchuan, et al.. (2022). Deciphering the acetylation code of p53 in transcription regulation and tumor suppression. Oncogene. 41(22). 3039–3050. 36 indexed citations
5.
Xu, Gang, Zhangchuan Xia, Fei‐Yan Deng, et al.. (2019). Inducible LGALS3BP/90K activates antiviral innate immune responses by targeting TRAF6 and TRAF3 complex. PLoS Pathogens. 15(8). e1008002–e1008002. 50 indexed citations
6.
Xia, Zhangchuan, Gang Xu, Nanfang Peng, et al.. (2019). NAC1 Potentiates Cellular Antiviral Signaling by Bridging MAVS and TBK1. The Journal of Immunology. 203(4). 1001–1011. 16 indexed citations
7.
Xia, Zhangchuan, Zhikui Cheng, Gang Xu, et al.. (2018). Inducible microRNA-590-5p inhibits host antiviral response by targeting the soluble interleukin-6 (IL6) receptor. Journal of Biological Chemistry. 293(47). 18168–18179. 14 indexed citations
8.
He, Qiaoqiao, et al.. (2018). Fibronectin Facilitates Enterovirus 71 Infection by Mediating Viral Entry. Journal of Virology. 92(9). 39 indexed citations
9.
Xia, Zhangchuan, Gang Xu, Xiaodan Yang, et al.. (2017). Inducible TAP1 Negatively Regulates the Antiviral Innate Immune Response by Targeting the TAK1 Complex. The Journal of Immunology. 198(9). 3690–3704. 22 indexed citations
10.
Zhu, Shengli, Li Wang, Zhongying Cao, et al.. (2016). Inducible CYP4F12 enhances Hepatitis C virus infection via association with viral nonstructural protein 5B. Biochemical and Biophysical Research Communications. 471(1). 95–102. 9 indexed citations
11.
Cao, Zhongying, Zhangchuan Xia, Xiaodan Yang, et al.. (2016). Methylcrotonoyl-CoA carboxylase 1 potentiates RLR-induced NF-κB signaling by targeting MAVS complex. Scientific Reports. 6(1). 33557–33557. 21 indexed citations
12.
Yang, Xiaodan, Hua Hao, Zhangchuan Xia, et al.. (2016). Soluble IL-6 Receptor and IL-27 Subunit p28 Protein Complex Mediate the Antiviral Response through the Type III IFN Pathway. The Journal of Immunology. 197(6). 2369–2381. 14 indexed citations
13.
Peng, Nanfang, Shi Liu, Zhangchuan Xia, et al.. (2016). Inducible Major Vault Protein Plays a Pivotal Role in Double-Stranded RNA– or Virus-Induced Proinflammatory Response. The Journal of Immunology. 196(6). 2753–2766. 33 indexed citations
14.
Liu, Shi, Nanfang Peng, Jiajia Xie, et al.. (2014). Human hepatitis B virus surface and e antigens inhibit major vault protein signaling in interferon induction pathways. Journal of Hepatology. 62(5). 1015–1023. 59 indexed citations
15.
Eklund, Kari K., Donald E. Humphries, Zhangchuan Xia, et al.. (1997). Glucocorticoids inhibit the cytokine-induced proliferation of mast cells, the high affinity IgE receptor-mediated expression of TNF-alpha, and the IL-10-induced expression of chymases. The Journal of Immunology. 158(9). 4373–4380. 58 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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