Yan Li is a Neurology physician. ClinicalTrials.gov lists 47 registered studies 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
- LDART for Stimulant Use Disorder
Sponsor: Yale University
- LDART for Alcohol Use Disorder
Sponsor: Yale University
- A Feasibility Trial of an Enhanced Coping-oriented Supportive Programme for Community-dwelling People With Spinal Cord Injury
Sponsor: The Hong Kong Polytechnic University
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
1 NIH research award on record, funded 2011–2012 per NIH RePORTER. The latest:
- Pseudo semiparametric inference for case control studies
University of Texas Arlington
FY2012$6,897U01CA159424 - Pseudo semiparametric inference for case control studies
University of Texas Arlington
FY2011$71,228U01CA159424
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.
Atte Meretoja
University of Helsinki
Bruce Miller, MD
University of California, San Francisco (UCSF)
Dennis Selkoe, MD
Brigham and Women's Hospital
Ettore Beghi
Mario Negri Institute for Pharmacological Research
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.”