Skip to main navigation
Skip to search
Skip to main content
Research Profiles at Washington University School of Medicine Home
Help & FAQ
Home
Profiles
Departments, Divisions and Centers
Research output
Search by expertise, name or affiliation
View Scopus Profile
Yan Yan
Professor of Surgery, Professor of Biostatistics
Division of Public Health Sciences
Institute for Public Health
Institute of Clinical and Translational Sciences
https://orcid.org/0000-0002-5917-1475
10107
Citations
1999
2023
Research activity per year
Overview
Fingerprint
Network
Research output
(232)
Similar Profiles
(8)
If you made any changes in Pure these will be visible here soon.
Fingerprint
Dive into the research topics where Yan Yan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Medicine & Life Sciences
Veterans
100%
Cohort Studies
96%
Kidney
92%
Odds Ratio
74%
Confidence Intervals
72%
Air Pollution
72%
Child
72%
Sickle Cell Anemia
67%
Prostatectomy
66%
Non-Small Cell Lung Carcinoma
65%
Hospital Emergency Service
65%
Randomized Controlled Trials
65%
Neoplasms
64%
Survival
63%
Mortality
60%
Prostate
58%
Particulate Matter
56%
Clostridium Infections
55%
Chronic Renal Insufficiency
52%
Asthma
50%
Recurrence
48%
African Americans
47%
Breast Neoplasms
47%
Prostate-Specific Antigen
46%
Prostatic Neoplasms
44%
Exercise
43%
Diabetes Mellitus
42%
Proton Pump Inhibitors
40%
Carcinoma
39%
Cryosurgery
38%
Mastectomy
38%
Therapeutics
38%
Global Burden of Disease
37%
Pain
37%
Income
35%
Health
34%
Smoking
34%
Clostridium difficile
32%
Laparoscopy
32%
Sample Size
31%
Mentoring
31%
Community Participation
31%
Brain Concussion
30%
Mammaplasty
30%
Morbidity
30%
Observational Studies
30%
Accidental Falls
30%
Quality of Life
30%
Lung
30%
Logistic Models
29%
Social Sciences
air pollution
30%
chronic illness
28%
Chronic Diseases
25%
health
24%
American
23%
evidence
21%
school graduate
19%
cancer
18%
medicine
14%
comorbidity
12%
public health
12%
time
11%
DVD
11%
decision making
10%
incident
10%
stroke
10%
coaching
9%
social participation
9%
grief
9%
time series
9%
disability
8%
fitness
8%
rural community
8%
smoking
8%
regression analysis
8%
bill
8%
graduate
8%
mortality
7%
death
7%
human being
7%
supervision
7%
video
7%
factor analysis
6%
participation
6%
promotion
6%
physician
6%
quality of life
6%
employee
6%
ethnicity
6%
childhood
6%
end stage renal disease
5%
interview
5%
legislation
5%
indebtedness
5%
staff
5%
minority
5%
communication
5%
Medical records
5%
Group
5%
confidence
5%