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Christiana Meng Zhang, M.D.

Photo of Dr. Christiana Meng Zhang, M.D.
  • Assistant Professor of Medicine
Female

Languages: English, Mandarin

Expertise

Internal Medicine

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Insurance Information

Maryland

410-955-0670

Outside of Maryland

410-464-6641
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International Patients

+1-410-502-7683
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Locations

Johns Hopkins Medicine - Green Spring Station

Appointment Phone: 410-955-0670
10753 Falls Road
Pavilion II
Lutherville-Timonium, MD 21093 map
Phone: 410-583-2774 | Fax: 410-583-2883

Background

Dr. Christiana Zhang is an assistant professor of medicine at the Johns Hopkins University School of Medicine. Her areas of expertise include internal medicine, medical education, women's health, and primary care. 

Dr. Zhang received her undergraduate degree from Georgetown University. She earned her medical degree from Georgetown University School of Medicine. She completed her internship and residency in internal medicine at Rhode Island Hospital, Warren Alpert Medical School of Brown University. Following residency, she completed a general internal medicine fellowship in medical education at Johns Hopkins in 2019. She joined the Division of General Internal Medicine at Johns Hopkins as faculty in 2019. 

Her research interests include medical education and women's health.

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Titles

  • Assistant Professor of Medicine

Departments / Divisions

Education

Degrees

  • MD, Georgetown University School of Medicine (2014)

Residencies

  • Rhode Island Hospital / Internal Medicine (2017)

Fellowships

  • Johns Hopkins University School of Medicine / Internal Medicine (2019)

Board Certifications

  • American Board of Internal Medicine / Internal Medicine (2017)

Patient Ratings & Comments

The Patient Rating score is an average of all responses to physician related questions on the national CG-CAHPS Medical Practice patient experience survey through Press Ganey. Responses are measured on a scale of 1 to 5, with 5 being the best score. Comments are also gathered from our CG-CAHPS Medical Practice Survey through Press Ganey and displayed in their entirety. Patients are de-identified for confidentiality and patient privacy.

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