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Fingerprint Dive into the research topics where Naa Oyo Kwate is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
African Americans Medicine & Life Sciences
Racism Medicine & Life Sciences
Health Medicine & Life Sciences
Fast Foods Medicine & Life Sciences
Breast Neoplasms Medicine & Life Sciences
outdoor advertising Social Sciences
segregation Social Sciences
Alcohols Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2009 2020

racism
health
outdoor advertising
American
behavioral research

Research Output 2001 2017

  • 668 Citations
  • 14 h-Index
  • 32 Article
  • 2 Letter
  • 1 Chapter
  • 1 Review article

Dying fast and dying slow in black space: Stop and frisk's public health threat and a comprehensive necropolitics

Kwate, N. O. & Threadcraft, S., Jan 1 2017, In : Du Bois Review. 14, 2, p. 535-556 22 p.

Research output: Contribution to journalArticle

dying
public health
threat
death
biotechnology policy
1 Citation (Scopus)

The race against time: Lived time,time loss, and black health opportunity

Kwate, N. O., Jan 1 2017, In : Du Bois Review. 14, 2, p. 497-514 18 p.

Research output: Contribution to journalArticle

health
resources
time experience
basic need
prestige
2 Citations (Scopus)

Does learning about race prevent substance abuse? Racial discrimination, racial socialization and substance use among African Americans

Thompson, A. B., Goodman, M. S. & Kwate, N. O., Oct 1 2016, In : Addictive Behaviors. 61, p. 1-7 7 p.

Research output: Contribution to journalArticle

4 Citations (Scopus)

Fast food and liquor store density, co-tenancy, and turnover: Vice store operations in Chicago, 1995-2008

Kwate, N. O. & Loh, J. M., Feb 1 2016, In : Applied Geography. 67, p. 1-13 13 p.

Research output: Contribution to journalArticle

fast foods
population characteristics
fast food restaurants
turnover
food
13 Citations (Scopus)
Racism
Mental Health
Linear Models
Health
Sampling Studies