Guangning Yan

669 total citations · 1 hit paper
14 papers, 507 citations indexed

About

Guangning Yan is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Guangning Yan has authored 14 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Guangning Yan's work include Cancer Cells and Metastasis (5 papers), Epigenetics and DNA Methylation (4 papers) and Hedgehog Signaling Pathway Studies (2 papers). Guangning Yan is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Epigenetics and DNA Methylation (4 papers) and Hedgehog Signaling Pathway Studies (2 papers). Guangning Yan collaborates with scholars based in China, United States and India. Guangning Yan's co-authors include Yangfan Lv, Qiao‐Nan Guo, Gang Meng, Xi Zhang, Xiu‐Wu Bian, Huanzi Dai, Deyu Guo, Xiaohong Yao, Lang Yang and You‐Hong Cui and has published in prestigious journals such as PLoS ONE, Scientific Reports and Science Advances.

In The Last Decade

Guangning Yan

14 papers receiving 505 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.

Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model

2025 33 citations Jike Wang, Yu Kang et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guangning Yan China	11	330	182	175	84	54	14	507
Dorine Bellanger France	11	330 1.0×	199 1.1×	201 1.1×	79 0.9×	60 1.1×	15	586
Despina Televantou Greece	12	255 0.8×	166 0.9×	184 1.1×	71 0.8×	100 1.9×	18	492
Junyi Ju China	12	441 1.3×	217 1.2×	95 0.5×	72 0.9×	44 0.8×	15	578
Laura Rodón United States	6	447 1.4×	109 0.6×	212 1.2×	67 0.8×	40 0.7×	12	552
Areumnuri Kim South Korea	13	250 0.8×	97 0.5×	160 0.9×	52 0.6×	49 0.9×	22	404
Ilenia Segatto Italy	14	290 0.9×	198 1.1×	251 1.4×	99 1.2×	29 0.5×	23	536
James Huber United States	7	382 1.2×	194 1.1×	159 0.9×	54 0.6×	37 0.7×	10	564
Xiaohua Jie China	12	300 0.9×	110 0.6×	168 1.0×	64 0.8×	43 0.8×	17	474
Elsie White United States	7	443 1.3×	153 0.8×	187 1.1×	42 0.5×	61 1.1×	7	613
Nolan Priedigkeit United States	13	344 1.0×	253 1.4×	256 1.5×	220 2.6×	36 0.7×	16	665

Countries citing papers authored by Guangning Yan

Since Specialization

Citations

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

Fields of papers citing papers by Guangning Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangning Yan

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Wang, Jike, Yu Kang, Peichen Pan, et al.. (2025). Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model. Science Advances. 11(10). eads8932–eads8932. 33 indexed citations breakdown →

Hu, Hao, et al.. (2024). Identification and validation of interferon-stimulated gene 15 as a biomarker for dermatomyositis by integrated bioinformatics analysis and machine learning. Frontiers in Immunology. 15. 1429817–1429817. 3 indexed citations

Wang, Wei, Xuecong Zhang, Guangning Yan, et al.. (2022). Seven DNA Methylation Biomarker Prediction Models for Monitoring the Malignant Progression From Advanced Adenoma to Colorectal Cancer. Frontiers in Oncology. 12. 827811–827811. 2 indexed citations

Yan, Guangning, et al.. (2019). Identification of Different Form Tim-3 Proteins by a Unique Set of Tim-3 Monoclonal Antibodies. Journal of Immunotherapy. 43(2). 43–47. 2 indexed citations

Yan, Guangning, Xuefeng Tang, Xianchao Zhang, et al.. (2017). TSSC3 represses self-renewal of osteosarcoma stem cells and Nanog expression by inhibiting the Src/Akt pathway. Oncotarget. 8(49). 85628–85641. 14 indexed citations

Dai, Huanzi, Yangfan Lv, Guangning Yan, et al.. (2016). RanBP9/TSSC3 complex cooperates to suppress anoikis resistance and metastasis via inhibiting Src-mediated Akt signaling in osteosarcoma. Cell Death and Disease. 7(12). e2572–e2572. 30 indexed citations

Lv, Yangfan, Huanzi Dai, Guangning Yan, et al.. (2016). Downregulation of tumor suppressing STF cDNA 3 promotes epithelial-mesenchymal transition and tumor metastasis of osteosarcoma by the Wnt/GSK-3β/β-catenin/Snail signaling pathway. Cancer Letters. 373(2). 164–173. 55 indexed citations

Lv, Yangfan, Xian Chang, Rui‐Xi Hua, et al.. (2016). The risk of new‐onset cancer associated with HFE C282Y and H63D mutations: evidence from 87,028 participants. Journal of Cellular and Molecular Medicine. 20(7). 1219–1233. 19 indexed citations

Yan, Guangning, Yangfan Lv, & Qiao‐Nan Guo. (2015). Advances in osteosarcoma stem cell research and opportunities for novel therapeutic targets. Cancer Letters. 370(2). 268–274. 128 indexed citations

10.

Lv, Yangfan, Guangning Yan, Gang Meng, Xi Zhang, & Qiao‐Nan Guo. (2015). Enhancer of zeste homolog 2 silencing inhibits tumor growth and lung metastasis in osteosarcoma. Scientific Reports. 5(1). 12999–12999. 46 indexed citations

11.

He, Ting, Jiongyu Hu, Guangning Yan, et al.. (2015). Pigment epithelium-derived factor regulates microvascular permeability through adipose triglyceride lipase in sepsis. Clinical Science. 129(1). 49–61. 23 indexed citations

12.

Wu, Hong, et al.. (2014). Is CD133 Expression a Prognostic Biomarker of Non-Small-Cell Lung Cancer? A Systematic Review and Meta-Analysis. PLoS ONE. 9(6). e100168–e100168. 35 indexed citations

13.

Yan, Guangning, Lang Yang, Yangfan Lv, et al.. (2014). Endothelial cells promote stem‐like phenotype of glioma cells through activating the Hedgehog pathway. The Journal of Pathology. 234(1). 11–22. 99 indexed citations

14.

Yan, Guangning, Yangfan Lv, Lang Yang, et al.. (2013). Glioma stem cells enhance endothelial cell migration and proliferation via the Hedgehog pathway. Oncology Letters. 6(5). 1524–1530. 18 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.

Explore authors with similar magnitude of impact