Experienced in Unicentric Castleman Disease (UCD)

Zhixiang X. Jian

Guangzhou, CN 
Experienced in Unicentric Castleman Disease (UCD)
Guangzhou, CN 
OverviewLocationsClinical Research

Overview

Zhixiang Jian practices in Guangzhou, China. Jian is rated as an Experienced expert by MediFind in the treatment of Unicentric Castleman Disease (UCD). Their top areas of expertise are Liver Cancer, Unicentric Castleman Disease (UCD), Pancreatic Cancer, Pancreaticoduodenectomy, and Hepatectomy.

Their clinical research consists of co-authoring 78 peer reviewed articles and participating in 1 clinical trial. MediFind looks at clinical research from the past 15 years. In particular, they have co-authored 1 article in the study of Unicentric Castleman Disease (UCD).

Locations

Guangzhou, 510080, China
Other Locations
Chongqing, 401147, China
China
Nanjing, China

Clinical Research

Clinical research consists of overseeing clinical studies of patients undergoing new treatments and therapies, and publishing articles in peer reviewed medical journals. Experts who actively participate in clinical research are generally at the forefront of the fields and aware of the most up-to-date advances in treatments for their patients.

1 Clinical Trials

A Randomized, Controlled, Open-label, Multicenter Phase III Clinical Trial of AK105 Injection Combined With Anlotinib Hydrochloride Capsules Versus Sorafenib in Subjects With Advanced Hepatocellular Carcinoma (HCC)
A Randomized, Controlled, Open-label, Multicenter Phase III Clinical Trial of AK105 Injection Combined With Anlotinib Hydrochloride Capsules Versus Sorafenib in Subjects With Advanced Hepatocellular Carcinoma (HCC)
Enrollment Status: Active_not_recruiting
Publish Date: February 20, 2025
Intervention Type: Drug
Study Drugs: AK105 Injection, Anlotinib Hydrochloride Capsules, Sorafenib Tosylate Tablets
Study Phase: Phase 3

78 Total Publications

Leveraging machine learning and single-cell RNA sequencing strategies to develop a risk prognosis scoring based on liquid-liquid phase separation feature genes in pediatric hepatoblastoma.
Leveraging machine learning and single-cell RNA sequencing strategies to develop a risk prognosis scoring based on liquid-liquid phase separation feature genes in pediatric hepatoblastoma.
Journal: Computers in biology and medicine
Published: February 29, 2024

Areas of Expertise

MediFind evaluates expertise by pulling from factors such as number of articles a doctor has published in medical journals, participation in clinical trials, speaking at industry conferences, prescribing and referral patterns, and strength of connections with other experts in their field.

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