Experienced in Myeloproliferative Neoplasms (MPN)

Chunyan H. Ji

Jinan, CN 
Experienced in Myeloproliferative Neoplasms (MPN)
Jinan, CN 
OverviewLocationsClinical Research

Overview

Chunyan Ji practices in Jinan, China. Ji is rated as an Experienced expert by MediFind in the treatment of Myeloproliferative Neoplasms (MPN). Their top areas of expertise are Acute Myeloid Leukemia (AML), Leukemia, Acute Lymphoblastic Leukemia (ALL), and Adult T-Cell Leukemia.

Their clinical research consists of co-authoring 99 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 3 articles in the study of Myeloproliferative Neoplasms (MPN).

Locations

Jinan, China
Other Locations
Qingdao, 266035, China
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 Multicenter, Open-label, Phase 1/2a Study to Evaluate the Safety and Tolerability, Pharmacokinetics, Pharmacodynamics and Preliminary Efficacy of TJ011133 as Monotherapy and in Combination With Azacitidine (AZA) in Patients With Acute Myeloid Leukemia (AML) or Myelodysplastic Syndrome (MDS)
A Multicenter, Open-label, Phase 1/2a Study to Evaluate the Safety and Tolerability, Pharmacokinetics, Pharmacodynamics and Preliminary Efficacy of TJ011133 as Monotherapy and in Combination With Azacitidine (AZA) in Patients With Acute Myeloid Leukemia (AML) or Myelodysplastic Syndrome (MDS)
Enrollment Status: Completed
Publish Date: April 15, 2024
Intervention Type: Drug
Study Drugs: TJ011133, Azacitidine
Study Phase: Phase 1/Phase 2

99 Total Publications

MKMGCN-DDI: Predicting Drug-Drug Interactions via Magnetic Graph Convolutional Network With Multiple Kernels.
MKMGCN-DDI: Predicting Drug-Drug Interactions via Magnetic Graph Convolutional Network With Multiple Kernels.
Journal: IEEE transactions on computational biology and bioinformatics
Published: August 14, 2025

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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