Yongling Ning

625 total citations
18 papers, 525 citations indexed

About

Yongling Ning is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Yongling Ning has authored 18 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 11 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in Yongling Ning's work include Immunotherapy and Immune Responses (8 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Immune cells in cancer (4 papers). Yongling Ning is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Immune cells in cancer (4 papers). Yongling Ning collaborates with scholars based in China, Sweden and United States. Yongling Ning's co-authors include Chunjian Qi, Xiao Sun, Yu Bai, Qiyong Wu, Kai Shen, Jie Pan, Keqing Qian, Jun Ding, Yong Wang and Tongbao Feng and has published in prestigious journals such as International Journal of Cancer, Journal of Ethnopharmacology and Frontiers in Pharmacology.

In The Last Decade

Yongling Ning

18 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongling Ning China 10 320 234 157 135 48 18 525
Ahad Khalilnezhad Iran 12 289 0.9× 267 1.1× 58 0.4× 177 1.3× 50 1.0× 17 583
Aikaterini Emmanouilidi Australia 9 241 0.8× 156 0.7× 115 0.7× 146 1.1× 27 0.6× 13 449
Mitsuharu Aga Japan 11 397 1.2× 146 0.6× 251 1.6× 201 1.5× 24 0.5× 19 683
Mario Kuttke Austria 10 280 0.9× 184 0.8× 52 0.3× 76 0.6× 31 0.6× 16 513
Kuntal Kanti Goswami India 12 252 0.8× 344 1.5× 93 0.6× 202 1.5× 44 0.9× 16 619
Israel Cañadas United States 9 389 1.2× 201 0.9× 209 1.3× 159 1.2× 109 2.3× 16 722
Peng Cao China 3 364 1.1× 167 0.7× 163 1.0× 60 0.4× 77 1.6× 7 523
Shuangze Han China 9 273 0.9× 134 0.6× 71 0.5× 113 0.8× 23 0.5× 20 399
Shixin Xiang China 12 271 0.8× 136 0.6× 121 0.8× 217 1.6× 26 0.5× 17 540
Yanyang Liu China 13 336 1.1× 80 0.3× 231 1.5× 100 0.7× 36 0.8× 28 524

Countries citing papers authored by Yongling Ning

Since Specialization
Citations

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

Fields of papers citing papers by Yongling Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongling Ning

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

All Works

18 of 18 papers shown
1.
Hao, Hongying, Shu Li, Yongling Ning, et al.. (2024). B cell c-Maf signaling promotes tumor progression in animal models of pancreatic cancer and melanoma. Journal for ImmunoTherapy of Cancer. 12(11). e009861–e009861. 2 indexed citations
2.
Shao, Fang, Jun Ding, Yongling Ning, et al.. (2023). Whole β-glucan particle attenuates AOM/DSS-induced colorectal tumorigenesis in mice via inhibition of intestinal inflammation. Frontiers in Pharmacology. 14. 1017475–1017475. 7 indexed citations
3.
Ning, Yongling, Qing Wang, Jia He, et al.. (2023). Epigallocatechin‐3‐gallate promotes wound healing response in diabetic mice by activating keratinocytes and promoting re‐epithelialization. Phytotherapy Research. 38(2). 1013–1027. 9 indexed citations
4.
Bai, Yu, Wenyu Zhu, Lei Xia, et al.. (2022). β-Glucan Combined With PD-1/PD-L1 Checkpoint Blockade for Immunotherapy in Patients With Advanced Cancer. Frontiers in Pharmacology. 13. 887457–887457. 9 indexed citations
5.
Xie, Xinxin, Jingxiao Chen, Da Wo, et al.. (2021). Babao Dan is a robust anti-tumor agent via inhibiting wnt/β-catenin activation and cancer cell stemness. Journal of Ethnopharmacology. 280. 114449–114449. 7 indexed citations
6.
Ning, Yongling, Jun Ding, Xiao Sun, et al.. (2020). HDAC9 deficiency promotes tumor progression by decreasing the CD8+ dendritic cell infiltration of the tumor microenvironment. Journal for ImmunoTherapy of Cancer. 8(1). e000529–e000529. 30 indexed citations
7.
Su, Mingming, et al.. (2019). Key genes and pathways in tumor‐educated dendritic cells by bioinformatical analysis. Microbiology and Immunology. 64(1). 63–71. 7 indexed citations
8.
Ding, Jun, Yongling Ning, Yu Bai, et al.. (2018). β-Glucan induces autophagy in dendritic cells and influences T-cell differentiation. Medical Microbiology and Immunology. 208(1). 39–48. 25 indexed citations
9.
Ning, Yongling, Kai Shen, Qiyong Wu, et al.. (2018). Tumor exosomes block dendritic cells maturation to decrease the T cell immune response. Immunology Letters. 199. 36–43. 198 indexed citations
10.
Zhang, Shuwen, Tongbao Feng, Yongling Ning, Xiaohang Zhang, & Chunjian Qi. (2017). [Guanylate-binding protein 2 regulates the maturation of mouse dendritic cells induced by β-glucan].. PubMed. 33(9). 1153–1159. 3 indexed citations
11.
Ning, Yongling, Dongqin Xu, Xiaohang Zhang, et al.. (2016). β‐glucan restores tumor‐educated dendritic cell maturation to enhance antitumor immune responses. International Journal of Cancer. 138(11). 2713–2723. 51 indexed citations
12.
Ding, Jun, Tongbao Feng, Yongling Ning, et al.. (2015). β-Glucan enhances cytotoxic T lymphocyte responses by activation of human monocyte-derived dendritic cells via the PI3K/AKT pathway. Human Immunology. 76(2-3). 146–154. 33 indexed citations
13.
Feng, Tongbao, Dongqin Xu, Wenjing Li, et al.. (2015). miR-124 inhibits cell proliferation in breast cancer through downregulation of CDK4. Tumor Biology. 36(8). 5987–5997. 60 indexed citations
14.
Qi, Chunjian, et al.. (2012). Autologous dendritic cell vaccine for estrogen receptor (ER)/progestin receptor (PR) double-negative breast cancer. Cancer Immunology Immunotherapy. 61(9). 1415–1424. 48 indexed citations
15.
Ning, Yongling, et al.. (2011). RKIP inhibits the migration and invasion of human prostate cancer PC-3M cells through regulation of extracellular matrix. Molecular Biology. 45(6). 921–928. 16 indexed citations
16.
Ning, Yongling, Keqing Qian, & Chunjian Qi. (2010). Role of vascular endothelial growth factor receptor in the pro-proliferation activity of CD40-CD40L in AGS gastric cancer cells. Asian Biomedicine. 4(5). 797–802. 3 indexed citations
17.
Qi, Chunjian, et al.. (2009). In vitro chemosensitivity in breast cancer using ATP-tumor chemosensitivity assay. Archives of Pharmacal Research. 32(12). 1737–1742. 11 indexed citations
18.
Qi, Chunjian, Keqing Qian, Yongling Ning, et al.. (2009). Ligation or cross-linking of CD40 has different effects on AGS gastric cancer cells. Cellular Immunology. 259(2). 135–140. 6 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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