Reviews of Dr. Ajay Kher - Best Nephrologist in India

Dr. Ajay Kher

Nephrologist
Director
12 Years of experience
W-3, Ashok Marg, near Radisson Blu Hotel, Sector-1, Vaishali, Ghaziabad, Uttar Pradesh 201012, India
0.0 Rating | 0 Review(s)
of reviewers recommend Dr. Ajay Kher

Quick Facts

  • Area of Expertise: Nephrologist
  • Experience: 12 Years
  • Qualification: MBBS
  • Hospital: Max Super Speciality Hospital, Vaishali

Conditions Treated

  • Kidney Failure
  • Chronic Kidney Disease
  • End-Stage Renal Disease
  • Polycystic Kidneys
  • Glomerulonephritis
  • Various Autoimmune Diseases

Procedures Offered

  • Hemodialysis
  • Peritoneal Dialysis
  • Plasmapheresis

Overview

Dr. Ajay Kher, MBBS is a world renowned Nephrologist who further specialises in Hemodialysis, Plasmapheresis, Peritoneal Dialysis A doctor with outstanding credentials, Dr. Ajay Kher is known to guarantee efficiency and safety when performing different kinds of procedures as the specialist keeps abreast of latest developments in the medical field of expertise. The specialist holds a very high degree of exposure in the medical field with over 12 years of experience.

Timings

  • Monday 09:00 am to 06:00 pm
  • Tuesday 09:00 am to 06:00 pm
  • Wednesday 09:00 am to 06:00 pm
  • Thursday 09:00 am to 06:00 pm
  • Friday 09:00 am to 06:00 pm
  • Saturday Holiday
  • Sunday Holiday

Payment Modes Available

  • Credit Card
  • Debit Card
  • Cheque
  • Insurance

Frequently Asked Questions

Which hospital is Dr. Ajay Kher affiliated with?

Dr. Ajay Kher, MBBS works with Max Super Speciality Hospital, Vaishali, Ghaziabad, India, Ghaziabad, India.

Where is Dr. Ajay Kher's office located?

Location of office of Dr. Ajay Kher is in Ghaziabad, India.

What are the factors based on which Dr. Ajay Kher is reviewed?

The patients have mentioned whether they would recommend the doctor to someone needing treatment. In addition to this, the specialist has been reviewed basis ability to listen, behaviour, the friendliness and how well the professional has been able to deduce the condition, patient’s satisfaction with the treatment and waiting time.