Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Yin Liu
Observed name:
Liu Yin
Institution:
Tianjin Chest Hospital
Observed institutions:
Tianjin University,
Second Affiliated Hospital of Kunming Medical College,
Tianjin Chest Hospital,
Tianjin Medical University,
Texas A&M University
ORCID:
0009-0005-4735-3350
Observed ORCID:
0009-0005-4735-3350
OpenAlex ID:
A5101329044
Rare giant secondary cutis verticis gyrata
2011
·
Man-Jing Zhang
, Zhi-Yong Sun
, et al.
·
Journal of Plastic Surgery and Hand Surgery
·
7
In vitro and In vivo Evaluation of the Antidiabetic Activity of Solidago virgaurea Extracts
2022
·
Lin Zhu
, Syeda Andleeb Zehra
, et al.
·
Current Bioactive Compounds
·
4
PDF
Using Machine Learning to Predict MACEs Risk in Patients with Premature Myocardial Infarction
2025
·
Jing-xian Wang
, Miao-miao Liang
, et al.
·
Reviews in Cardiovascular Medicine
·
3
Clinical Study evaluating the Diagnostic Value of Cardiac Ultrasound Parameters Combined With Serum miR ‐324‐3p in Septic Cardiac Dysfunction
2025
·
Xueqing Fu
, Liu Yin
·
Apmis
·
1
Paclitaxel oral solution versus paclitaxel injection as a second-line therapy in advanced gastric cancer: A randomized, open-label, non-inferiority phase 3 trial.
2025
·
Jin Li
, Mingzhu Huang
, et al.
·
Journal of Clinical Oncology
·
1
[Long-term clinical outcomes after percutaneous coronary intervention for ST-segment elevation myocardial infarction due to late and very late stent thrombosis].
2024
·
Xiaowei Li
, Yixing Yang
, et al.
·
PubMed
Paclitaxel oral solution versus paclitaxel injection as second-line therapy in advanced gastric cancer: A randomized, open-label, non-inferiority phase 3 trial.
2024
·
Jin Li
, Mingzhu Huang
, et al.
·
Journal of Clinical Oncology
Identification of Serum Lipidomic Biomarkers to Predict the Severity of Coronary Lesion in Acute Coronary Syndrome Patients
2024
·
Jing Gao
, Wenqing Li
, et al.
·
Journal of the American College of Cardiology
Show more works
View as search
Works count:
8
Citation count:
16
H-index:
3
I10-index:
Year
Topic
Type