Hangxing Yu

455 total citations
20 papers, 333 citations indexed

About

Hangxing Yu is a scholar working on Nephrology, Immunology and Molecular Biology. According to data from OpenAlex, Hangxing Yu has authored 20 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nephrology, 7 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Hangxing Yu's work include HIV Research and Treatment (5 papers), Renal Diseases and Glomerulopathies (4 papers) and Immune Cell Function and Interaction (3 papers). Hangxing Yu is often cited by papers focused on HIV Research and Treatment (5 papers), Renal Diseases and Glomerulopathies (4 papers) and Immune Cell Function and Interaction (3 papers). Hangxing Yu collaborates with scholars based in China, Germany and United States. Hangxing Yu's co-authors include Frank Kirchhoff, Daniel Sauter, Dominik Hotter, Christina M. Stürzel, Beatrice H. Hahn, Jean‐Christophe Plantier, Carine Van Lint, Silvia F. Kluge, Thomas Wirth and Marie Leoz and has published in prestigious journals such as Nature Communications, Journal of Virology and Infection and Immunity.

In The Last Decade

Hangxing Yu

19 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hangxing Yu China 12 153 136 89 85 72 20 333
Chengjin Huang China 11 118 0.8× 40 0.3× 173 1.9× 71 0.8× 61 0.8× 18 415
Khader Ghneim United States 8 74 0.5× 314 2.3× 108 1.2× 127 1.5× 98 1.4× 12 530
Angela Grant United States 8 108 0.7× 139 1.0× 68 0.8× 120 1.4× 52 0.7× 12 369
Riccardo Freguja Italy 10 145 0.9× 84 0.6× 114 1.3× 44 0.5× 88 1.2× 14 341
Noelle A. Hutchins United States 6 98 0.6× 199 1.5× 173 1.9× 159 1.9× 85 1.2× 6 455
Yan‐Mei Jiao China 13 161 1.1× 167 1.2× 94 1.1× 83 1.0× 164 2.3× 48 425
Djénéba Dabitao United States 9 90 0.6× 133 1.0× 58 0.7× 95 1.1× 78 1.1× 21 364
Shunji Matsuda Japan 11 113 0.7× 120 0.9× 83 0.9× 48 0.6× 84 1.2× 28 346
R. Whitney Edwards United States 9 70 0.5× 107 0.8× 106 1.2× 69 0.8× 36 0.5× 13 275
Francisca Portero Spain 9 46 0.3× 117 0.9× 286 3.2× 48 0.6× 76 1.1× 15 491

Countries citing papers authored by Hangxing Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hangxing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hangxing Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hangxing Yu. A scholar is included among the top collaborators of Hangxing Yu 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 Hangxing Yu. Hangxing Yu 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.
Li, Jing, Y. Xu, Tianhao Sun, et al.. (2024). Exploration of the pathogenesis of nephrotic syndrome and traditional Chinese medicine intervention based on gut microbiota. Frontiers in Immunology. 15. 1430356–1430356. 6 indexed citations
2.
Li, Jiaqi, Hangxing Yu, Bo Yang, et al.. (2024). Specific gut microbiome and metabolome changes in patients with continuous ambulatory peritoneal dialysis and comparison between patients with different dialysis vintages. Frontiers in Medicine. 10. 1302352–1302352. 12 indexed citations
3.
Tang, Jing, et al.. (2024). Emodin inhibits M1 macrophage activation that related to acute and chronic kidney injury through EGFR/MAPK pathway. Functional & Integrative Genomics. 24(4). 131–131. 1 indexed citations
4.
5.
Wang, Yanni, Hua Miao, Junzheng Yang, et al.. (2023). Moshen granule ameliorates membranous nephropathy by blocking intrarenal renin-angiotensin system signalling via the Wnt1/β-catenin pathway. Phytomedicine. 114. 154763–154763. 25 indexed citations
6.
Li, Huijuan, Leilei Ma, Hangxing Yu, et al.. (2022). MicroRNAs as Potential Biomarkers for the Diagnosis of Chronic Kidney Disease: A Systematic Review and Meta-Analysis. Frontiers in Medicine. 8. 782561–782561. 13 indexed citations
7.
Yu, Hangxing, Zhe Feng, Kang Yang, et al.. (2022). Ongoing Clinical Trials in Aging-Related Tissue Fibrosis and New Findings Related to AhR Pathways. Aging and Disease. 13(3). 732–732. 6 indexed citations
8.
Yang, Zhihua, et al.. (2022). Predicting diagnostic gene expression profiles associated with immune infiltration in patients with lupus nephritis. Frontiers in Immunology. 13. 839197–839197. 12 indexed citations
9.
Jiang, Chen, Hangxing Yu, Lingling Wang, et al.. (2021). The effects of Fushen Granule on the composition and function of the gut microbiota during Peritoneal Dialysis–Related Peritonitis. Phytomedicine. 86. 153561–153561. 7 indexed citations
10.
Yu, Hangxing, Kang Yang, Lijuan Wei, et al.. (2021). Transcriptome-Based Network Analysis Reveals Hirudin Potentiates Anti-Renal Fibrosis Efficacy in UUO Rats. Frontiers in Pharmacology. 12. 741801–741801. 18 indexed citations
11.
Yu, Hangxing, et al.. (2021). A Network Pharmacology-Based Approach to Investigating the Mechanisms of Fushen Granule Effects on Intestinal Barrier Injury in Chronic Renal Failure. Evidence-based Complementary and Alternative Medicine. 2021. 1–15. 1 indexed citations
12.
13.
Sauter, Daniel, Florian A. Horenkamp, Hangxing Yu, et al.. (2017). Endocytic sorting motif interactions involved in Nef-mediated downmodulation of CD4 and CD3. Nature Communications. 8(1). 442–442. 23 indexed citations
14.
Sauter, Daniel, Dominik Hotter, Benoît Van Driessche, et al.. (2015). Differential Regulation of NF-κB-Mediated Proviral and Antiviral Host Gene Expression by Primate Lentiviral Nef and Vpu Proteins. Cell Reports. 10(4). 586–599. 88 indexed citations
15.
Yu, Hangxing, Mohammad Khalid, Anke Heigele, et al.. (2014). Lentiviral Nef Proteins Manipulate T Cells in a Subset-Specific Manner. Journal of Virology. 89(4). 1986–2001. 8 indexed citations
16.
Li, Hui, Hangxing Yu, Matthias Geyer, et al.. (2013). Link between Primate Lentiviral Coreceptor Usage and Nef Function. Cell Reports. 5(4). 997–1009. 11 indexed citations
17.
Yu, Hangxing, Shariq M. Usmani, Christina M. Stürzel, et al.. (2013). The efficiency of Vpx-mediated SAMHD1 antagonism does not correlate with the potency of viral control in HIV-2-infected individuals. Retrovirology. 10(1). 27–27. 21 indexed citations
18.
Khalid, Mohammad, Hangxing Yu, Daniel Sauter, et al.. (2012). Efficient Nef-Mediated Downmodulation of TCR-CD3 and CD28 Is Associated with High CD4 + T Cell Counts in Viremic HIV-2 Infection. Journal of Virology. 86(9). 4906–4920. 28 indexed citations
19.
20.
Yu, Hangxing, Martin Förster, Olaf Kniemeyer, et al.. (2010). Role of High-Mobility Group Box 1 Protein and Poly(ADP-Ribose) Polymerase 1 Degradation inChlamydia trachomatis-Induced Cytopathicity. Infection and Immunity. 78(7). 3288–3297. 22 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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