Paul Tang is a Cardiology physician. ClinicalTrials.gov lists 1 registered study matched to this name.
Overview
Scholarship
indexed output and impact (OpenAlex)Research metrics aren't shown for this record. Either we found no confident publication match for this name, or more than one physician shares the matched author record. We'd rather show nothing than someone else's numbers. Why? →
Clinical & industry
trials, payments and federal fundingClinical trials
- Use of Online Personalized Health Record System to Promote Self-Management of Diabetes
Sponsor: Palo Alto Medical Foundation
Registered studies on ClinicalTrials.gov where the overall official or a site investigator name-matches this physician, confirmed against known institution/geography. Latest few shown; the full list is part of the full profile.
NIH funding
2 NIH research awards on record, funded 2023–2026 per NIH RePORTER. The latest:
- Targeting Mineralocorticoid Receptor Condensates to Optimize Donor Heart Preservation
Mayo Clinic Rochester
FY2026$666,456R01HL166140 - Targeting Immune-Responsive Gene 1 (Irg1) and Itaconate for Cardioprotection of the Donor Heart for Transplantation
Mayo Clinic Rochester
FY2026$630,628R01HL164416 - Targeting Mineralocorticoid Receptor Condensates to Optimize Donor Heart Preservation
Mayo Clinic Rochester
FY2025$681,850R01HL166140
Awards in the NIH RePORTER records where a principal investigator name matches this physician at an organization in their practice state. Latest award years shown; each row links to the project record on RePORTER.
Similar KOLs
Other experts from the same institution or the same specialty.
Gregory Y.H. Lip
Medical University of Białystok
Mika Kivimäki
University of Helsinki
Salim Yusuf
Population Health Research Institute
Victoria Delgado
Institute of Molecular Bioimaging and Physiology
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.”