Bernard Kadosh is a Cardiology physician affiliated with New York University. OpenAlex indexes 73 publications with 595 citations (h-index 10).
Overview
Scholarship
indexed output and impact (OpenAlex)Distinct works indexed by OpenAlex, matched via ORCID.
Total citations across indexed works.
Hirsch index, productivity × impact (OpenAlex).
Medicare prescribing footprint (2023)
The drugs this prescriber writes for Medicare patients, grouped by drug class and therapeutic area. Every percentage is a share of their total prescribing, so you can see what they prescribe most. These are proportions, not patient counts or dollar amounts. No condition is inferred: the claims record what was prescribed, never why.
Cardiovascular
79.9%Beta blocker22.9%Metoprolol Succinate78%Carvedilol23%Part D≥57 patientsLoop diuretic13.7%Torsemide61%Furosemide28%Bumetanide11%Part D<11 patients+ 8 more classes in this area
Blood & clotting
9.4%Factor Xa inhibitor8.1%Eliquis100%Part D≥15 patientsP2Y12 inhibitor1.4%Clopidogrel100%Part D<11 patientsMetabolism & gastrointestinal
9.3%SGLT2 inhibitor7.9%Farxiga59%Jardiance41%Part D<11 patientsProton pump inhibitor1.5%Pantoprazole Sodium100%Part D<11 patients
Drug classes come from the WHO ATC and U.S. National Library of Medicine (RxClass) classifications; prescribing counts come from the CMS Medicare Part D Prescribers file. Each drug is counted once, under its primary class. Medicare fee-for-service only, so no Medicare Advantage, commercial, or pediatric prescribing is included. CMS publishes this data about 17 months after the fact.
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A basic profile from our physician directory: identity and practice contact from the federal NPPES registry, research from OpenAlex, trials from ClinicalTrials.gov, payments from CMS Open Payments — shown itemized where we have matched records, as a count where we only have a total. This person hasn't been through our full identity-adjudication pipeline yet, so funding, congress activity and public presence aren't shown. Absence of a section means “not yet looked,” never “none found.”