Xiaohe Jin Editor at IgMin Research
We work to foster an ecosystem where disciplines intersect, promoting faster knowledge expansion.
Biography
Dr. Xiaohe (Jessie) Jin is a dedicated scientist with a Ph.D. in Chemistry from North Carolina State University and a B.Sc. in Pharmacy from China Pharmaceutical University. Currently serving as Scientist I at Atom Bioworks Inc., Dr. Jin has made significant contributions to the fields of DNA biosensors, drug delivery systems, and biosynthetic pathways of natural products. She has published seven peer-reviewed papers and participated in drafting patents. Fluent in English and Mandarin, Dr. Jin is passionate about advancing scientific research and innovation.
Research Interest
1) Discovery of bioactive gene clusters and compounds from microbes, especially cyanobacteria; (2) Development of DNA nanostructure-based biosensors for diagnostics and drug delivery purposes; and (3) Investigation of the biosynthetic pathways and mechanisms of naturally occurring tetrapyrroles.
Editor
Work Details
Ph.D
North Carolina State University
Department of Chemistry
USA
0000-0003-1497-8037 Contribution by Topic Area
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Study of the Histological Features of the Stroma of High-Grade Gliomas Depending on the Status of the Mutation in the IDH1 Gene
- Balancing Act: Exploring the Interplay Between Human Judgment and Artificial Intelligence in Problem-solving, Creativity, and Decision-making
- The Lukala Cement Plant's Life Cycle Analysis: Towards a More Sustainable Production
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
- Melanocytic Nevi Classification using Transfer Learning
- Evaluating Digital Imaging Technologies for Anogenital Injury Documentation in Sexual Assault Cases
