Dr. XIngcheng Yi, The First Hospital of Jilin University, China
šProfile Overview:
Dr. Xingcheng Yi is a distinguished medical professional at The First Hospital of Jilin University, China, specializing in cutting-edge clinical and translational research. With a strong focus on advancing patient care, Dr. Yiās expertise spans cardiovascular medicine, oncology, and innovative therapeutic approaches. A dedicated scholar and practitioner, Dr. Yi is actively involved in groundbreaking studies, contributing to the global medical community through peer-reviewed publications and collaborative projects. Known for integrating clinical insights with advanced research, Dr. Yiās work continues to impact healthcare practices and improve outcomes for patients worldwide.
šCurrent Position:
Currently serving as a lead researcher in Cell Biology, my work focuses on innovative therapeutic strategies for myocardial tissue repair. Leveraging expertise in computational biology, I aim to bridge experimental and computational sciences to drive impactful discoveries in cardiovascular health.
šAcademic Background:
Earned a Ph.D. in Cell Biology, with a thesis focused on molecular interaction networks in myocardial injury.
Prior to this, completed a Master’s in Biological Sciences, specializing in cellular mechanisms and computational applications.
šPublications Achievements:
Publications: Authored 11 peer-reviewed journal articles, indexed in SCI and Scopus, spanning myocardial repair, single-cell transcriptomics, and graph deep learning.
Books: Published 11 books with ISBN registration, contributing to knowledge dissemination in cell biology and computational techniques.
Citations: Achieved a citation index of 18, demonstrating the growing influence of my research in the academic community.
Recognized for a recent impactful study on Ginsenoside Rb1 and PRDX6 in mitigating myocardial injury.
š¬Ongoing Research Projects:
Current Projects: Actively involved in three research projects, focusing on:
- Synergistic Therapies: Examining natural compounds and molecular interactions for cardiac protection.
- Transcriptomics: Exploring gene expression changes linked to tissue repair and cellular stress responses.
- Graph-Based Models: Developing AI-based models to predict molecular interaction networks and their biological implications.
Collaborations: Engaged in interdisciplinary collaborations with computational scientists and clinical researchers to validate models in vivo.
šResearch Interests:
Areas of expertise and passion include:
- Myocardial Tissue Repair: Exploring cellular mechanisms to improve heart regeneration.
- Single-Cell Transcriptomics: Unraveling cellular diversity and gene expression.
- Graph Deep Learning: Applying cutting-edge computational tools for network analysis.
- Bioinformatics: Leveraging data-driven approaches to solve biological challenges.
šAwards and Scholarships:
Recipient of multiple awards for research excellence, including the prestigious Best Researcher Award for groundbreaking work in myocardial repair.
Secured competitive scholarships during doctoral studies, highlighting academic rigor and potential.
š¤Professional Associations:
Active member of professional societies like the Society for Computational Biology and the American Heart Association, contributing to global discussions on translational research.
šTraining & Workshops:Ā
Participated in numerous workshops on advanced computational techniques, transcriptomics, and bioinformatics.
Conducted training sessions for peers, fostering skills in RNA-seq analysis and molecular modeling.
š§ŖLaboratory Experience and Publications:Ā
Proficient in wet lab techniques such as immunohistochemistry, PCR, and cell culture, complemented by computational methods like network analysis and deep learning models.
Authored comprehensive reports and proposals that secured funding for cutting-edge research.
š ļøTasks Completed as a Researcher:
Designed and executed experiments involving RNA sequencing and gene expression profiling.
Supervised lab teams in handling complex protocols for tissue repair studies.
Published high-impact manuscripts, showcasing methodological rigor and innovative findings.
š¤Oral Presentations:
Delivered over 15 oral presentations at national and international conferences, including keynote sessions on myocardial repair strategies.
Topics included novel therapeutic combinations and advancements in single-cell analysis.
šSuccess Factors:
My success stems from a combination of interdisciplinary expertise, strong analytical skills, and an unwavering commitment to advancing cardiovascular science.
Emphasis on collaboration ensures that my research remains globally relevant and impactful.
šConclusion:Ā
My journey as a researcher is defined by a relentless drive to innovate in myocardial tissue repair and computational biology. By integrating biological insights with computational tools, I aim to pave the way for new therapeutic solutions that save lives. From groundbreaking publications to collaborative projects, my work continues to contribute meaningfully to science and society.
Article: Hypoxia adaptation mechanism in ratsā peripheral auditory system in high altitude migration: a time series transcriptome analysis
Authors: Wang, L., Yi, X., Zhou, Y., Su, X., Wang, P.
Year: 2024
Journal: Scientific Reports
Citations: 0
Letter: Individualized dynamic frailty-tailored therapy (DynaFiT) in elderly patients with newly diagnosed multiple myeloma: a prospective study
Authors: Zhang, Y., Liang, X., Xu, W., Dai, Y., Jin, F.
Year: 2024
Journal: Journal of Hematology and Oncology
Citations: 1
Article: Dynamics of minimal residual disease and its clinical implications in multiple myeloma: A retrospective real-life analysis
Authors: Xu, W., Liang, X., Liu, S., Dai, Y., Jin, F.
Year: 2024
Journal: Clinical Medicine, Journal of the Royal College of Physicians of London
Citations: 0
Article: Plumbagin induces G2/M arrest and apoptosis and ferroptosis via ROS/p38 MAPK pathway in human osteosarcoma cells
Authors: Li, J., Gao, H., Wang, P., Zhang, Y., Li, S.
Year: 2024
Journal: Alexandria Engineering Journal
Citations: 1
Article: MediDRNet: Tackling category imbalance in diabetic retinopathy classification with dual-branch learning and prototypical contrastive learning
Authors: Teng, S., Wang, B., Yang, F., Zhang, X., Sun, Y.
Year: 2024
Journal: Computer Methods and Programs in Biomedicine
Citations: 0
Article in Press: Synergistic effects of ginsenoside Rb1 and peroxiredoxin 6 in enhancing myocardial injury treatment through anti-inflammatory, anti-oxidative, and anti-apoptotic mechanisms
Authors: Mu, R., Li, Y., Cui, Y., Guo, X., Yi, X.
Year: 2024
Journal: Journal of Ginseng Research
Citations: 0
Letter: More than 2% circulating plasma cells as a prognostic biomarker in a large cohort of patients with newly-diagnosed multiple myeloma
Authors: Tian, M., Liang, X., Xu, W., Dai, Y., Jin, F.
Year: 2023
Journal: Annals of Hematology
Citations: 0
Letter: Dynamic monitoring of minimal residual disease in newly-diagnosed multiple myeloma
Authors: Yang, P., Xu, W., Liang, X., Dai, Y., Jin, F.
Year: 2023
Journal: American Journal of Hematology
Citations: 3
Article: Proposed risk-scoring model for estimating the prognostic impact of 1q gain in patients with newly diagnosed multiple myeloma
Authors: Yang, P., Chen, H., Liang, X., Dai, Y., Jin, F.
Year: 2023
Journal: American Journal of Hematology
Citations: 7
Article: Research on the pathological mechanism of rectal adenocarcinoma based on DNA methylation
Authors: Pan, X., Yi, X., Lan, M., Zhou, F., Wu, W.
Year: 2023
Journal: Medicine (United States)
Citations: 2