Xiaohe Jin 編集者 at IgMin Research
We focus on enhancing knowledge exchange between disciplines to achieve rapid innovation.
バイオグラフィー
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.
研究の興味
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.
0000-0003-1497-8037 トピック分野別の貢献
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
現在トレンドになっている記事はどれですか？
研究論文
- Efficacy of Alternative Insecticides against Dusky Cotton Bug (Oxycarenus laetus) to Improve Yield Losses in Cotton Crops through Residue-based Bioassay
- Investigation and Energy Modeling of New Generation Environmentally Friendly Energy Source Thorium Fueled Molten Salt Reactors
- Evaluating Digital Imaging Technologies for Anogenital Injury Documentation in Sexual Assault Cases
- Kinetic Study of the Removal of Reafix Yellow B8G Dye by Boiler Ash
- The Role of Supplementation in Enhancing Recovery and Endurance among Fitness Trainers
- Knowledge Discovery on Artificial Intelligence and Physical Therapy: Document Mining Analysis
