Ge Yan

689 total citations · 1 hit paper
26 papers, 407 citations indexed

About

Ge Yan is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Ge Yan has authored 26 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Artificial Intelligence and 5 papers in Cancer Research. Recurrent topics in Ge Yan's work include MicroRNA in disease regulation (4 papers), Extracellular vesicles in disease (4 papers) and Visual Attention and Saliency Detection (2 papers). Ge Yan is often cited by papers focused on MicroRNA in disease regulation (4 papers), Extracellular vesicles in disease (4 papers) and Visual Attention and Saliency Detection (2 papers). Ge Yan collaborates with scholars based in China, Macao and Sweden. Ge Yan's co-authors include Li‐Hua Peng, Hao Chen, Yang Xu, Xiaoyu Hou, Baoshan Ma, Fangtian Ying, Cheng Yao, Lijuan Liu, Thomas Brush and Anne Ottenbreit‐Leftwich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Chemical Engineering Journal.

In The Last Decade

Ge Yan

25 papers receiving 398 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.

Brucea javanica derived exosome-like nanovesicles deliver miRNAs for cancer therapy

2024 84 citations Ge Yan, Hao Chen et al. Journal of Controlled Release profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ge Yan China	10	161	75	61	51	36	26	407
Quanbo Liu China	11	125 0.8×	67 0.9×	11 0.2×	42 0.8×	54 1.5×	41	389
Sijie Wang China	11	83 0.5×	19 0.3×	128 2.1×	56 1.1×	16 0.4×	40	563
Andrew C. Payne United States	8	156 1.0×	22 0.3×	21 0.3×	22 0.4×	9 0.3×	13	485
Meilin Chen China	13	100 0.6×	27 0.4×	48 0.8×	83 1.6×	8 0.2×	36	498
Xiaofan Liu China	13	70 0.4×	44 0.6×	13 0.2×	15 0.3×	50 1.4×	53	440
Zijian Ding China	13	245 1.5×	160 2.1×	28 0.5×	73 1.4×	12 0.3×	37	573
Roberto Velazquez Australia	5	51 0.3×	13 0.2×	19 0.3×	31 0.6×	18 0.5×	12	253
Michael Spitzer Austria	11	74 0.5×	19 0.3×	57 0.9×	17 0.3×	10 0.3×	48	385
David M. Reed United States	15	146 0.9×	22 0.3×	41 0.7×	66 1.3×	94 2.6×	38	812
Yanlin Zheng China	10	45 0.3×	7 0.1×	38 0.6×	40 0.8×	32 0.9×	48	277

Countries citing papers authored by Ge Yan

Since Specialization

Citations

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

Fields of papers citing papers by Ge Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Yan. A scholar is included among the top collaborators of Ge 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 Ge Yan. Ge 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:

20 of 20 papers shown

Yan, Ge, et al.. (2025). Revolutionizing lung cancer treatment: harnessing exosomes as early diagnostic biomarkers, therapeutics and nano-delivery platforms. Journal of Nanobiotechnology. 23(1). 232–232. 7 indexed citations

Zhao, Xuan, Yanfen Liu, Guohui Qin, et al.. (2025). Pseudoprogression in CAR-T cell therapy for solid tumor: Case report. Frontiers in Immunology. 15. 1504104–1504104. 1 indexed citations

Fan, J. H., et al.. (2024). An unsupervised video anomaly detection method via Optical Flow decomposition and Spatio-Temporal feature learning. Pattern Recognition Letters. 185. 239–246. 6 indexed citations

Cheng, Jian, Ge Yan, Jianbing Xu, Yinghua Ye, & Ruiqi Shen. (2024). “Fireworks” ignition and combustion of metal nanoparticles: Based on the rapid conversion and transmission of microwave energy by energetic ionic liquids. Chemical Engineering Journal. 496. 154099–154099. 3 indexed citations

Liu, Yuda, Yang Xu, Ge Yan, et al.. (2024). Plant-Derived Exosomes as Novel Nanotherapeutics Contrive Glycolysis Reprogramming-Mediated Angiogenesis for Diabetic Ulcer Healing. Biomaterials Research. 28. 35–35. 32 indexed citations

Xu, Yang, et al.. (2024). Plant-derived exosomes as cell homogeneous nanoplatforms for brain biomacromolecules delivery ameliorate mitochondrial dysfunction against Parkinson’s disease. Nano Today. 58. 102438–102438. 39 indexed citations

Yan, Ge, et al.. (2024). Brucea javanica derived exosome-like nanovesicles deliver miRNAs for cancer therapy. Journal of Controlled Release. 367. 425–440. 84 indexed citations breakdown →

Xu, Weizhong, et al.. (2023). Oriented artificial niche provides physical-biochemical stimulations for rapid nerve regeneration. Materials Today Bio. 22. 100736–100736. 2 indexed citations

Wang, Mao‐Ze, et al.. (2023). Iontophoresis‐Driven Microneedle Arrays Delivering Transgenic Outer Membrane Vesicles in Program that Stimulates Transcutaneous Vaccination for Cancer Immunotherapy. SHILAP Revista de lepidopterología. 3(11). 2300126–2300126. 9 indexed citations

10.

Ji, Wei, Ge Yan, Jingjing Li, et al.. (2022). DMRA: Depth-Induced Multi-Scale Recurrent Attention Network for RGB-D Saliency Detection. IEEE Transactions on Image Processing. 31. 2321–2336. 45 indexed citations

11.

Miao, Feng, et al.. (2022). Comparative proteomics analysis of Schistosoma japonicum developed in different Oncomelania snails as intermediate hosts. Frontiers in Cellular and Infection Microbiology. 12. 959766–959766. 2 indexed citations

12.

Yuan, Tiejun, et al.. (2022). Phytochemicals as new therapeutic candidates simultaneously stimulate proliferation and counteract senescence of stem cells. Biomedicine & Pharmacotherapy. 151. 113170–113170. 5 indexed citations

13.

Yan, Ge, et al.. (2022). Emerging pharmaceutical therapeutics and delivery technologies for osteoarthritis therapy. Frontiers in Pharmacology. 13. 945876–945876. 12 indexed citations

14.

Zhang, Chao, et al.. (2022). StoryDrawer. CHI Conference on Human Factors in Computing Systems. 1–15. 47 indexed citations

15.

Kwon, Kyungbin, et al.. (2021). Computational thinking practices: Lessons learned from a problem-based curriculum in primary education. Journal of Research on Technology in Education. 55(4). 590–607. 6 indexed citations

16.

Ma, Baoshan, et al.. (2021). XGBLC: an improved survival prediction model based on XGBoost. Bioinformatics. 38(2). 410–418. 35 indexed citations

17.

Zhang, Shu, Ge Yan, Yu Li, & Jia Liu. (2019). Evaluation of Judicial Imprisonment Term Prediction Model Based on Text Mutation. abs 1807 2478. 62–65. 5 indexed citations

18.

Yan, Ge, et al.. (2019). Law Article Prediction Based on Deep Learning. 281–284. 7 indexed citations

19.

Liu, Juan, et al.. (2011). Can Subliminal Signal Affect Human's Judgment and Decision-making? A Helpful Study for Designing Computerized Decision Support Systems. 29. 1026–1029. 1 indexed citations

20.

Wang, Lu, et al.. (2008). [The development and application of lie detection in forensic science].. PubMed. 24(5). 365–8.

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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