Reviews of Dr. Uma Kishore - Best Nephrologist in India

Dr. Uma Kishore

Senior Consultant
18 Years of experience
Block X, 1, Vyapar Marg, Block X, Sector 12, Noida, Uttar Pradesh 201301
0.0 Rating | 0 Review(s)
of reviewers recommend Dr. Uma Kishore

Quick Facts

  • Area of Expertise: Nephrologist
  • Experience: 18 Years
  • Qualification: MD, MBBS
  • Hospital: Metro Hospital

Conditions Treated

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

Procedures Offered

  • Kidney Transplant
  • Hemodialysis
  • Plasmapheresis


Dr. Uma Kishore, MD, MBBS is a wonderful doctor who is considered an Nephrologist par excellence by the patients. Some of the most prominent procedures performed by Hemodialysis, Kidney Transplant, Plasmapheresis A doctor with outstanding credentials, Dr. Uma Kishore 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 18 years of experience.


  • 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. Uma Kishore affiliated with?

Dr. Uma Kishore, MD, MBBS works with Metro Hospital, Noida, India, Noida, India.

Where is Dr. Uma Kishore's office located?

Noida, India is where the office of Dr. Uma Kishore is based.

What are the factors based on which Dr. Uma Kishore 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.