Jingxia Wu

1.6k total citations
20 papers, 1.2k citations indexed

About

Jingxia Wu is a scholar working on Physiology, Immunology and Pharmacology. According to data from OpenAlex, Jingxia Wu has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 7 papers in Immunology and 4 papers in Pharmacology. Recurrent topics in Jingxia Wu's work include Immune Cell Function and Interaction (7 papers), Adipose Tissue and Metabolism (5 papers) and Sirtuins and Resveratrol in Medicine (4 papers). Jingxia Wu is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Adipose Tissue and Metabolism (5 papers) and Sirtuins and Resveratrol in Medicine (4 papers). Jingxia Wu collaborates with scholars based in China, Germany and United States. Jingxia Wu's co-authors include Qiwei Zhai, Fang Zhang, Guoliang Cui, Susan M. Kaech, Ping‐Chih Ho, Matthew Staron, Robert A. Amezquita, Simon M. Gray, Ben Zhou and Hyung J. Chun and has published in prestigious journals such as Cell, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jingxia Wu

19 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingxia Wu China 14 427 320 310 222 185 20 1.2k
Bing Luan China 13 778 1.8× 261 0.8× 196 0.6× 219 1.0× 104 0.6× 24 1.2k
Gordon P. Meares United States 24 800 1.9× 387 1.2× 246 0.8× 137 0.6× 259 1.4× 34 1.8k
Cong Tang China 15 916 2.1× 267 0.8× 431 1.4× 203 0.9× 294 1.6× 30 1.6k
Philippe Delerive France 19 540 1.3× 170 0.5× 221 0.7× 139 0.6× 283 1.5× 29 1.2k
Bing‐Mei Zhu China 22 553 1.3× 164 0.5× 172 0.6× 138 0.6× 88 0.5× 72 1.4k
Bounleut Phanavanh United States 16 828 1.9× 284 0.9× 578 1.9× 179 0.8× 148 0.8× 23 1.7k
Cheryl L. Clauson United States 11 783 1.8× 234 0.7× 321 1.0× 225 1.0× 83 0.4× 11 1.4k
El‐Bdaoui Haddad United Kingdom 26 427 1.0× 358 1.1× 674 2.2× 101 0.5× 98 0.5× 39 1.5k
Sylvie Durant France 20 405 0.9× 213 0.7× 328 1.1× 82 0.4× 321 1.7× 46 1.4k
Amir Gamliel United States 10 1.2k 2.7× 272 0.8× 251 0.8× 214 1.0× 146 0.8× 17 1.5k

Countries citing papers authored by Jingxia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jingxia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingxia Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingxia Wu. A scholar is included among the top collaborators of Jingxia Wu 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 Jingxia Wu. Jingxia Wu 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.
Yang, Wenjuan, et al.. (2025). Metabolites beyond metabolism: Exploring their atypical roles in protein modification and signaling transduction. Chinese Medical Journal. 139(3). 341–361.
2.
Wu, Jingxia, Sicong Ma, Nina Weisshaar, et al.. (2022). Regulatory T cell‐derived interleukin‐15 promotes the diversity of immunological memory. European Journal of Immunology. 53(1). e2149400–e2149400. 4 indexed citations
3.
Weisshaar, Nina, Gernot Poschet, Sicong Ma, et al.. (2022). CD8 agonism functionally activates memory T cells and enhances antitumor immunity. International Journal of Cancer. 151(5). 797–808. 7 indexed citations
4.
Wu, Jingxia, Agnes Hotz‐Wagenblatt, Nina Weisshaar, et al.. (2020). T Cell Factor 1 Suppresses CD103+ Lung Tissue-Resident Memory T Cell Development. Cell Reports. 31(1). 107484–107484. 48 indexed citations
5.
Wu, Jingxia, Nina Weisshaar, Agnes Hotz‐Wagenblatt, et al.. (2020). Skeletal muscle antagonizes antiviral CD8 + T cell exhaustion. Science Advances. 6(24). eaba3458–eaba3458. 41 indexed citations
6.
Wu, Jingxia, Sicong Ma, Agnes Hotz‐Wagenblatt, et al.. (2019). Regulatory T cells sense effector T‐cell activation through synchronized JunB expression. FEBS Letters. 593(10). 1020–1029. 11 indexed citations
7.
Stolp, Bettina, Nikolaos Tsopoulidis, Ina Ambiel, et al.. (2018). HIV-1 Nef Disrupts CD4+ T Lymphocyte Polarity, Extravasation, and Homing to Lymph Nodes via Its Nef-Associated Kinase Complex Interface. The Journal of Immunology. 201(9). 2731–2743. 11 indexed citations
8.
Hwangbo, Cheol, Jingxia Wu, Irinna Papangeli, et al.. (2017). Endothelial APLNR regulates tissue fatty acid uptake and is essential for apelin’s glucose-lowering effects. Science Translational Medicine. 9(407). 66 indexed citations
9.
Cui, Guoliang, Matthew Staron, Simon M. Gray, et al.. (2015). IL-7-Induced Glycerol Transport and TAG Synthesis Promotes Memory CD8+ T Cell Longevity. Cell. 161(4). 750–761. 267 indexed citations
10.
Zhou, Ben, Yi Zhang, Fang Zhang, et al.. (2014). CLOCK/BMAL1 regulates circadian change of mouse hepatic insulin sensitivity by SIRT1. Hepatology. 59(6). 2196–2206. 121 indexed citations
11.
Wu, Jingxia, et al.. (2013). Endothelium as a gatekeeper of fatty acid transport. Trends in Endocrinology and Metabolism. 25(2). 99–106. 50 indexed citations
12.
Kang, Yujung, Jongmin Kim, Joshua P. Anderson, et al.. (2013). Apelin-APJ Signaling Is a Critical Regulator of Endothelial MEF2 Activation in Cardiovascular Development. Circulation Research. 113(1). 22–31. 127 indexed citations
13.
Yan, Menghong, Yuangao Wang, Yanan Hu, et al.. (2013). A High-Throughput Quantitative Approach Reveals More Small RNA Modifications in Mouse Liver and Their Correlation with Diabetes. Analytical Chemistry. 85(24). 12173–12181. 47 indexed citations
14.
Kim, Jun‐Dae, Yujung Kang, Jong Min Kim, et al.. (2013). Essential Role of Apelin Signaling During Lymphatic Development in Zebrafish. Arteriosclerosis Thrombosis and Vascular Biology. 34(2). 338–345. 40 indexed citations
15.
Zhang, Yi, Ben Zhou, Fang Zhang, et al.. (2012). Amyloid-β Induces Hepatic Insulin Resistance by Activating JAK2/STAT3/SOCS-1 Signaling Pathway. Diabetes. 61(6). 1434–1443. 84 indexed citations
16.
Liu, Yang, Daizhan Zhou, Fang Zhang, et al.. (2012). Liver Patt1 deficiency protects male mice from age-associated but not high-fat diet-induced hepatic steatosis. Journal of Lipid Research. 53(3). 358–367. 19 indexed citations
17.
Zhou, Bin, Chengyu Li, Wei Qi, et al.. (2012). Downregulation of miR-181a upregulates sirtuin-1 (SIRT1) and improves hepatic insulin sensitivity. Diabetologia. 55(7). 2032–2043. 184 indexed citations
18.
Zhang, Yi, Ben Zhou, Bo Deng, et al.. (2012). Amyloid-β Induces Hepatic Insulin Resistance In Vivo via JAK2. Diabetes. 62(4). 1159–1166. 71 indexed citations
19.
Yu, Qiujing, Ting Wang, Jingxia Wu, et al.. (2011). WldS Reduces Paraquat-Induced Cytotoxicity via SIRT1 in Non-Neuronal Cells by Attenuating the Depletion of NAD. PLoS ONE. 6(7). e21770–e21770. 11 indexed citations
20.
Wu, Jingxia, Fang Zhang, Menghong Yan, et al.. (2011). WldS Enhances Insulin Transcription and Secretion via a SIRT1-Dependent Pathway and Improves Glucose Homeostasis. Diabetes. 60(12). 3197–3207. 23 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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