Skip To Main Content
Yingjie Qi on Muck Rack

Yingjie Qi

As seen in: Nature, arXiv, Frontiers, MDPI, Taylor & Francis Online, JACC (Journal of the American College of Cardiology)
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Yingjie

Contact Yingjie, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Integrated lipidomics and fatty acid positional distribution for nutritional assessment of nine mammalian milks

|
By Meiqing Chen, Lin Song, Jun Zhang, Yingjie Qi, Xiaowei Zhao, Nan Zheng, Yangdong Zhang, Jiaqi Wang, Songcui Lu
| Nature Verified
Abstract The nutritional value of milk fat depends on lipid and fatty acid composition. This study characterized the lipidomics and fatty acid positional distribution of milk from nine mammalian species: cow, buffalo, yak, goat, sheep, camel, mare, donkey, and human. Lipid molecular species were profiled by liquid chromatography–tandem mass spectrometry.
Open in Who Shared Issue with article?

Exosomal circZNF638 promotes postmenopausal osteoporosis progression through MGAT1-mediated SMAD9 glycosylation

|
By Yuxiao Luo, Yingjie Qi, Jian Li
| Taylor & Francis Online
ABSTRACT Purpose This study aims to investigate the potential regulatory mechanism of circular RNA (circRNA) in postmenopausal osteoporosis (POMP). Understanding the molecular mechanism of POMP is crucial for developing effective therapeutic strategies. Materials and Methods A variety of bioinformatics tools were used to identify candidate circRNAs associated with POMP, and circZNF638 was selected as the target for further investigation.
Open in Who Shared Issue with article?

GCoDE: Efficient Device-Edge Co-Inference for GNNs via Architecture-Mapping Co-Search

|
By Jianlei Yang, Tong Qiao, Yingjie Qi, Zhi Yang
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (668) Issue with article?
See all 12 articles