Shifeng Yang

539 total citations · 1 hit paper
15 papers, 359 citations indexed

About

Shifeng Yang is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Shifeng Yang has authored 15 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Shifeng Yang's work include Immune cells in cancer (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers) and Epigenetics and DNA Methylation (3 papers). Shifeng Yang is often cited by papers focused on Immune cells in cancer (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers) and Epigenetics and DNA Methylation (3 papers). Shifeng Yang collaborates with scholars based in China. Shifeng Yang's co-authors include Hao Yang, Nana Li, Xiaoming Zou, Zhen Ma, Jiacheng Li, Boshi Sun, Xiaoming Zou, Lei Zhu, Jiaqi Jin and Wenjing Li and has published in prestigious journals such as Frontiers in Immunology, World Journal of Gastroenterology and Oncotarget.

In The Last Decade

Shifeng Yang

14 papers receiving 359 citations

Hit Papers

align trajectories

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.

Identification of lactylation related model to predict prognostic, tumor infiltrating immunocytes and response of immunotherapy in gastric cancer

2023 88 citations Hao Yang, Xiaoming Zou et al. Frontiers in Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shifeng Yang China	10	181	166	116	80	73	15	359
Da Qian China	9	166 0.9×	168 1.0×	78 0.7×	73 0.9×	50 0.7×	36	366
Yelong Chen China	9	168 0.9×	62 0.4×	87 0.8×	79 1.0×	44 0.6×	11	274
Caroline Hego France	7	131 0.7×	112 0.7×	178 1.5×	156 1.9×	77 1.1×	8	394
Wan-Ru Ning China	5	131 0.7×	203 1.2×	99 0.9×	113 1.4×	55 0.8×	5	349
Mark Owyong United States	8	122 0.7×	73 0.4×	79 0.7×	107 1.3×	43 0.6×	10	270
Jun Osugi Japan	11	164 0.9×	131 0.8×	110 0.9×	209 2.6×	104 1.4×	31	412
Judit López‐Luque Spain	8	179 1.0×	80 0.5×	70 0.6×	95 1.2×	56 0.8×	8	368
Wenqing Feng China	10	204 1.1×	66 0.4×	125 1.1×	169 2.1×	84 1.2×	25	385
Adam B. Sendor United States	3	130 0.7×	161 1.0×	99 0.9×	134 1.7×	53 0.7×	4	322

Countries citing papers authored by Shifeng Yang

Since Specialization

Citations

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

Fields of papers citing papers by Shifeng Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shifeng Yang

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

All Works

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15 of 15 papers shown

Yang, Shifeng, X. Shirley Liu, Qun Han, et al.. (2025). MUC1 drives ferroptosis resistance in ICC via Src‐mediated FSP1 deubiquitination and myristoylation. Clinical and Translational Medicine. 15(10). e70495–e70495.

Li, Jiacheng, Jia Liu, Shifeng Yang, et al.. (2025). PD-L1 positive platelets mediate resistance to immune checkpoint inhibitors in patients with colorectal cancer. Cell Communication and Signaling. 23(1). 29–29. 4 indexed citations

Li, Xiaolin, et al.. (2025). Molecular Mechanisms of Neutrophil Extracellular Traps in Promoting Gastric Cancer Epithelial–Mesenchymal Transition Through SERPINE‐1 Expression. Journal of Biochemical and Molecular Toxicology. 39(3). e70157–e70157. 1 indexed citations

Li, Jiacheng, Yu Xia, Biying Sun, et al.. (2023). Neutrophil extracellular traps induced by the hypoxic microenvironment in gastric cancer augment tumour growth. Cell Communication and Signaling. 21(1). 86–86. 50 indexed citations

Yang, Hao, et al.. (2023). Identification of lactylation related model to predict prognostic, tumor infiltrating immunocytes and response of immunotherapy in gastric cancer. Frontiers in Immunology. 14. 1149989–1149989. 88 indexed citations breakdown →

Yang, Hao, et al.. (2023). Glucose transporter 3 (GLUT3) promotes lactylation modifications by regulating lactate dehydrogenase A (LDHA) in gastric cancer. Cancer Cell International. 23(1). 303–303. 29 indexed citations

Yang, Shifeng, Boshi Sun, Jiacheng Li, et al.. (2023). Neutrophil extracellular traps promote angiogenesis in gastric cancer. Cell Communication and Signaling. 21(1). 176–176. 46 indexed citations

Zou, Xiaoming, et al.. (2023). Effect of NETs/COX-2 pathway on immune microenvironment and metastasis in gastric cancer. Frontiers in Immunology. 14. 1177604–1177604. 18 indexed citations

Yang, Shifeng, Boshi Sun, Wenjing Li, et al.. (2022). Fatty acid metabolism is related to the immune microenvironment changes of gastric cancer and RGS2 is a new tumor biomarker. Frontiers in Immunology. 13. 1065927–1065927. 35 indexed citations

10.

Zou, Xiaoming, et al.. (2022). Comprehensive Expression Profile Analysis of Neutrophil Extracellular Trap-Affected Genes in Gastric Cancer Cells and the Clinical Significance of lncRNA NEAT1-Related Signaling. Frontiers in Oncology. 12. 798531–798531. 9 indexed citations

11.

Li, Jiacheng, Xiaoming Zou, Shifeng Yang, et al.. (2022). Neutrophil extracellular traps participate in the development of cancer-associated thrombosis in patients with gastric cancer. World Journal of Gastroenterology. 28(26). 3132–3149. 33 indexed citations

12.

Yang, Shifeng, Xiaoming Zou, Jiacheng Li, et al.. (2022). Immunoregulation and clinical significance of neutrophils/NETs-ANGPT2 in tumor microenvironment of gastric cancer. Frontiers in Immunology. 13. 1010434–1010434. 19 indexed citations

13.

Yang, Shifeng, Xiaoming Zou, Hao Yang, et al.. (2022). Identification of Enhancer RNA CDK6-AS1 as a Potential Novel Prognostic Biomarker in Gastric Cancer. Frontiers in Genetics. 13. 854211–854211. 7 indexed citations

14.

Kong, Rui, Guangming Sun, Linfeng Wu, et al.. (2020). Small Molecule Inhibitor C188-9 Synergistically Enhances the Demethylated Activity of Low-Dose 5-Aza-2′-Deoxycytidine Against Pancreatic Cancer. Frontiers in Oncology. 10. 612–612. 9 indexed citations

15.

Wang, Yupei, Qinzheng Hou, Shifeng Yang, et al.. (2017). Selective ATP hydrolysis inhibition in F1Fo ATP synthase enhances radiosensitivity in non-small-cell lung cancer cells (A549). Oncotarget. 8(32). 53602–53612. 11 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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