Qing Cheng

1.1k total citations · 1 hit paper
23 papers, 722 citations indexed

About

Qing Cheng is a scholar working on Dermatology, Immunology and Molecular Biology. According to data from OpenAlex, Qing Cheng has authored 23 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Dermatology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Qing Cheng's work include Dermatologic Treatments and Research (3 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). Qing Cheng is often cited by papers focused on Dermatologic Treatments and Research (3 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). Qing Cheng collaborates with scholars based in China, United States and Brunei. Qing Cheng's co-authors include Zeng‐Hong Wu, Yun Tang, Cheng‐Cheng Deng, Bin Yang, Zhili Rong, Dingheng Zhu, Lixue Zhang, Jingjing Gu, Yongfei Hu and Yingping Xu and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

Qing Cheng

19 papers receiving 709 citations

Hit Papers

Single-cell RNA-seq reveals fibroblast heterogeneity and ... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Cheng China 9 230 169 134 99 94 23 722
Anna Haemel United States 14 259 1.1× 224 1.3× 143 1.1× 35 0.4× 347 3.7× 40 1.0k
Van Anh Nguyen Austria 16 128 0.6× 193 1.1× 202 1.5× 59 0.6× 309 3.3× 44 863
Helen Benham Australia 13 287 1.2× 105 0.6× 141 1.1× 69 0.7× 787 8.4× 31 1.3k
Anisha B. Patel United States 16 166 0.7× 571 3.4× 220 1.6× 29 0.3× 118 1.3× 88 1.1k
Edwin Boelke Germany 13 94 0.4× 284 1.7× 47 0.4× 65 0.7× 130 1.4× 39 694
Jérôme Cornillon France 19 320 1.4× 293 1.7× 166 1.2× 145 1.5× 126 1.3× 90 1.2k
A Laffón Spain 17 163 0.7× 102 0.6× 17 0.1× 52 0.5× 281 3.0× 30 1.1k
Christine Warren United States 15 168 0.7× 66 0.4× 135 1.0× 36 0.4× 56 0.6× 40 668
Peter Häusermann Switzerland 22 128 0.6× 133 0.8× 467 3.5× 61 0.6× 312 3.3× 49 1.1k
Jonathan S. Leventhal United States 20 252 1.1× 718 4.2× 374 2.8× 30 0.3× 290 3.1× 84 1.5k

Countries citing papers authored by Qing Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Qing Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Cheng. A scholar is included among the top collaborators of Qing 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 Qing Cheng. Qing 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
1.
Wang, Da, Xinyue Zhang, Xiaoyan Tang, et al.. (2025). Generation of human nucleus basalis organoids with functional nbM-cortical cholinergic projections in transplanted assembloids. Cell stem cell. 32(12). 1833–1848.e7.
2.
Huang, Shuying, et al.. (2024). Neutrophil lncRNA ZNF100-6:2 is a potential diagnostic marker for active pulmonary tuberculosis. European journal of medical research. 29(1). 162–162. 3 indexed citations
3.
Jiang, Weiqin, Xiang Zhang, Ziye Xu, et al.. (2024). High‐Throughput Single‐Nucleus RNA Profiling of Minimal Puncture FFPE Samples Reveals Spatiotemporal Heterogeneity of Cancer. Advanced Science. 12(4). e2410713–e2410713. 1 indexed citations
4.
Wang, Meng, Qing Cheng, Zehong Wu, et al.. (2024). Multidimensional assessment of the biological effects of electronic cigarettes on lung bronchial epithelial cells. Scientific Reports. 14(1). 4445–4445.
5.
Gu, Jingjing, Cheng‐Cheng Deng, Jun Liu, et al.. (2023). Relief of Extracellular Matrix Deposition Repression by Downregulation of IRF1-Mediated TWEAK/Fn14 Signaling in Keloids. Journal of Investigative Dermatology. 143(7). 1208–1219.e6. 7 indexed citations
6.
Nie, Lin, et al.. (2023). Effect of preoperative cluster care nursing on patient compliance during preoperative isolation of pediatric patients before cochlear implant surgery. International Journal of Pediatric Otorhinolaryngology. 175. 111752–111752.
8.
Deng, Cheng‐Cheng, Lixue Zhang, Dingheng Zhu, et al.. (2022). Risk single-nucleotide polymorphism-mediated enhancer–promoter interaction drives keloids through long noncoding RNA down expressed in keloids. British Journal of Dermatology. 188(1). 84–93. 9 indexed citations
9.
Deng, Cheng‐Cheng, Yongfei Hu, Dingheng Zhu, et al.. (2021). Single-cell RNA-seq reveals fibroblast heterogeneity and increased mesenchymal fibroblasts in human fibrotic skin diseases. Nature Communications. 12(1). 3709–3709. 280 indexed citations breakdown →
10.
Sauer, Scott J., et al.. (2021). Hymenolepis diminuta-based helminth therapy in C3(1)-TAg mice does not alter breast tumor onset or progression. Evolution Medicine and Public Health. 9(1). 131–138. 4 indexed citations
11.
Wu, Zeng‐Hong, Yun Tang, & Qing Cheng. (2020). Diabetes increases the mortality of patients with COVID-19: a meta-analysis. Acta Diabetologica. 58(2). 139–144. 110 indexed citations
12.
Sun, Yu, et al.. (2020). Diagnosis and treatment of emergency surgeries in otorhinolaryngology, head and neck surgery during the covid‐19 outbreak: A single center experience. World Journal of Otorhinolaryngology - Head and Neck Surgery. 6(S1). S16–S21.
13.
Cheng, Qing, Yanjun Wang, Weijia Kong, et al.. (2020). [Safety comparison of omalizumab and glucocorticoid in rush allergen immunotherapy].. PubMed. 34(7). 610–614. 3 indexed citations
14.
Yu, Gang, Yupeng Guan, Lin Liu, et al.. (2018). The protective effect of low-energy shock wave on testicular ischemia-reperfusion injury is mediated by the PI3K/AKT/NRF2 pathway. Life Sciences. 213. 142–148. 11 indexed citations
15.
Li, Hui‐Jia, Qing Cheng, & Lin Wang. (2016). Understanding spatial spread of emerging infectious diseases in contemporary populations. Physics of Life Reviews. 19. 95–97. 5 indexed citations
16.
Xia, Wenle, Sumin Zhao, Lei-Hua Liu, et al.. (2013). An heregulin-EGFR-HER3 autocrine signaling axis can mediate acquired lapatinib resistance in HER2+ breast cancer models. Breast Cancer Research. 15(5). R85–R85. 113 indexed citations
17.
Nair, Smita K., Amy J. Aldrich, Eoin McDonnell, et al.. (2013). Immunologic Targeting of FOXP3 in Inflammatory Breast Cancer Cells. PLoS ONE. 8(1). e53150–e53150. 16 indexed citations
19.
Kager, Leo, Meyling Cheok, Wenjian Yang, et al.. (2005). Folate pathway gene expression differs in subtypes of acute lymphoblastic leukemia and influences methotrexate pharmacodynamics. Journal of Clinical Investigation. 115(1). 110–117. 109 indexed citations
20.
Cheng, Qing, et al.. (1995). Characterization of Tumor-Specific Cytotoxic Effector Cells with a Novel CD3−/Thy-1+Phenotype. Cellular Immunology. 166(1). 141–153. 4 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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