Ye He

4.3k total citations · 1 hit paper
81 papers, 3.0k citations indexed

About

Ye He is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Ye He has authored 81 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 11 papers in Cancer Research. Recurrent topics in Ye He's work include Stress Responses and Cortisol (10 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neuroendocrine regulation and behavior (8 papers). Ye He is often cited by papers focused on Stress Responses and Cortisol (10 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neuroendocrine regulation and behavior (8 papers). Ye He collaborates with scholars based in China, United States and United Kingdom. Ye He's co-authors include Patrizia Casaccia‐Bonnefil, Bing‐Xing Pan, Patrizia Casaccia, Wenhua Zhang, Yuh Nung Jan, Lily Yeh Jan, Junyu Zhang, Jin Young Kim, Jeffrey L. Dupree and Jiadong Li and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Ye He

77 papers receiving 2.9k citations

Hit Papers

Identification of a prefr... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ye He 1.4k 714 370 363 285 81 3.0k
Chingwen Yang 1.3k 1.0× 723 1.0× 323 0.9× 259 0.7× 235 0.8× 15 3.3k
Vivi M. Heine 1.6k 1.2× 683 1.0× 840 2.3× 183 0.5× 595 2.1× 66 3.3k
Kazuko Sakata 1.1k 0.8× 1.3k 1.8× 666 1.8× 155 0.4× 195 0.7× 64 2.9k
Qi Xu 1.3k 0.9× 637 0.9× 114 0.3× 239 0.7× 232 0.8× 133 2.9k
Ling Pan 2.0k 1.5× 1.2k 1.7× 156 0.4× 471 1.3× 185 0.6× 41 3.6k
Jianwei Jiao 1.8k 1.3× 569 0.8× 676 1.8× 317 0.9× 95 0.3× 124 3.2k
Eva Benito 1.7k 1.3× 705 1.0× 211 0.6× 412 1.1× 84 0.3× 78 3.6k
Motoko Maekawa 1.3k 0.9× 541 0.8× 441 1.2× 174 0.5× 70 0.2× 60 2.2k
Kathy Keyvani 1.1k 0.8× 536 0.8× 278 0.8× 301 0.8× 162 0.6× 103 3.3k
Yan Shen 2.1k 1.6× 863 1.2× 131 0.4× 309 0.9× 175 0.6× 109 4.2k

Countries citing papers authored by Ye He

Since Specialization
Citations

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

Fields of papers citing papers by Ye He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye He

This figure shows the co-authorship network connecting the top 25 collaborators of Ye He. A scholar is included among the top collaborators of Ye He 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 Ye He. Ye He 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.
Chen, Ying, et al.. (2025). The GLI3 may be involved in the damage process of Eimeria tenella to chicken cecal tissue. Veterinary Parasitology. 337. 110473–110473.
2.
Liu, Jingmin, Haoxiao Zheng, Ye He, et al.. (2025). RhoA Enhances Schwann Cell Microtubule Dynamics and Myelination via a YAP1 / TEAD3 / CDK2 / ASPM /p60‐Katanin Axis. Glia. 74(2). e70093–e70093.
3.
Huang, Pin‐I, Ying Xiao, & Ye He. (2025). The causal relationships between gut microbiota and venous thromboembolism: a Mendelian randomization study. Hereditas. 162(1). 25–25.
4.
Wang, Jing, Ye He, Mengyuan Zhang, et al.. (2024). The degree of risk factor and accumulation effect for large niche in individuals after cesarean section. BMC Pregnancy and Childbirth. 24(1). 38–38. 2 indexed citations
5.
Sánchez, Vanessa, Peining Xu, Thomas Roulé, et al.. (2024). Altered lipid homeostasis is associated with cerebellar neurodegeneration in SNX14 deficiency. JCI Insight. 9(10). 7 indexed citations
6.
Hu, Xiao, Ying Zou, Ye He, et al.. (2024). MicroRNA-301a knockout attenuates peripheral nerve regeneration by delaying Wallerian degeneration. Neural Regeneration Research. 21(6). 2580–2589. 5 indexed citations
7.
Pruvost, Mathilde, Julia Patzig, Marylens Hernandez, et al.. (2023). The stability of the myelinating oligodendrocyte transcriptome is regulated by the nuclear lamina. Cell Reports. 42(8). 112848–112848. 4 indexed citations
8.
Soliman, Ghada A., Ye He, & Rinat R. Abzalimov. (2023). Mechanistic Insights into the Metabolic Pathways Using High-Resolution Mass Spectrometry and Predictive Models in Pancreatic β-Cell Lines (β-TC-6). SHILAP Revista de lepidopterología. 16–16.
9.
Zhang, Cheng, Wulong Zhang, Chao Wang, et al.. (2022). Depicting Developing Trend and Core Knowledge of Primary Open-Angle Glaucoma: A Bibliometric and Visualized Analysis. Frontiers in Medicine. 9. 922527–922527. 10 indexed citations
10.
Zhou, Xuezhi, Ye He, Jing-Jie Peng, et al.. (2021). CXC Chemokines as Therapeutic Targets and Prognostic Biomarkers in Skin Cutaneous Melanoma Microenvironment. Frontiers in Oncology. 11. 619003–619003. 21 indexed citations
11.
Fu, Danlan, Junfei Huang, Kaitao Li, et al.. (2021). Dihydrotestosterone-induced hair regrowth inhibition by activating androgen receptor in C57BL6 mice simulates androgenetic alopecia. Biomedicine & Pharmacotherapy. 137. 111247–111247. 112 indexed citations
12.
Pruvost, Mathilde, et al.. (2020). Sample Preparation for Metabolic Profiling using MALDI Mass Spectrometry Imaging. Journal of Visualized Experiments. 5 indexed citations
13.
Pan, Han‐Qing, Wenhua Zhang, Caizhi Liao, et al.. (2020). Chronic Stress Oppositely Regulates Tonic Inhibition in Thy1-Expressing and Non-expressing Neurons in Amygdala. Frontiers in Neuroscience. 14. 299–299. 12 indexed citations
14.
Wang, Lihua, Canwei Wang, Zheying Tao, et al.. (2019). Curcumin derivative WZ35 inhibits tumor cell growth via ROS-YAP-JNK signaling pathway in breast cancer. Journal of Experimental & Clinical Cancer Research. 38(1). 460–460. 111 indexed citations
15.
Li, Na, Ye He, Gang Yang, Qian Yu, & Minchao Li. (2019). Role of TRPC1 channels in pressure-mediated activation of airway remodeling. Respiratory Research. 20(1). 91–91. 37 indexed citations
16.
Li, Ying, Ye He, Siyu Han, & Yanchun Liang. (2017). Identification and Functional Inference for Tumor-Associated Long Non-Coding RNA. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(4). 1288–1301. 11 indexed citations
17.
Li, Ying, Ye He, & Yù Zhang. (2016). Analyzing gene expression time-courses based on multi-resolution shape mixture model. Mathematical Biosciences. 281. 74–81. 1 indexed citations
18.
Lee, Hye Young, Woo‐Ping Ge, Ye He, et al.. (2011). Bidirectional Regulation of Dendritic Voltage-Gated Potassium Channels by the Fragile X Mental Retardation Protein. Neuron. 72(4). 630–642. 122 indexed citations
19.
He, Ye. (2005). Regulation of Squalene Synthase Gene Expression in Tobacco by Antisense Transformation with an Artemisia annua Squalene Synthase Gene. Journal of Pharmaceutical and Biomedical Sciences. 2 indexed citations
20.
He, Ye. (2003). Molecular Cloning, Escherichia coli Expression and Genomic Organization of Squalene Synthase Gene from Artemisia annua. 20 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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