N. Krieger

Sociology and Political Science · 2001–2017

A researcher in the Science corpus: 13 papers; trusts 25 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom N. Krieger trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Stan Lipovetsky
  2. Ana V. Diez-Roux
  3. David R. Williams
  4. A. Greenwald
  5. Y. Paradies
  6. Ichiro Kawachi
  7. C. Gravlee
  8. Jason Schnittker
  9. Jarvis T. Chen
  10. Mahzarin R. Banaji

Who trusts N. Krieger overall

  1. C. Gravlee
  2. L. Friedli
  3. G. Bauer
  4. J. Quesada
  5. Jarvis T. Chen
  6. Joseph W. Hogan
  7. Shervin Assari
  8. M. Hatzenbuehler
  9. I. Meyer
  10. Pamela Waterman

Papers from N. Krieger's perspective

Ordered by how strongly the researchers N. Krieger trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Multilevel analysis in public health research. (Annual Review of Public Health)
  2. Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter?: the Public Health Disparities… (American Journal of Epidemiology)
  3. Geocoding and Measurement of Neighborhood Socioeconomic Position: A U.S. Perspective
  4. Choosing area based socioeconomic measures to monitor social inequalities in low birth weight and childhood lead poisoning: The Public Health Disparities Geocoding Project (US) (Journal of Epidemiology and Community Health)
  5. The international analysis of poverty
  6. Racial/ethnic discrimination and health: findings from community studies. (American Journal of Public Health)
  7. A unified theory of implicit attitudes, stereotypes, self-esteem, and self-concept. (Psychology Review)
  8. Place effects on health: how can we conceptualise, operationalise and measure them? (Social Science & Medicine (1967))
  9. Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review (Journal of Epidemiology and Community Health)
  10. Measuring individual differences in implicit cognition: the implicit association test.

Their papers