Professor of Medical Sociology in the Department of Health Care Policy, Harvard Medical School

Internal Medicine

Nicholas Christakis is an expert in the field of Internal Medicine. He went to Harvard Medical School. Harvard Medical School is a one of the best medicals schools. Harvard Medical School is ranked 1/12 in Research/PrimaryCare. He received awards:"Elected Member" and "Whos Who in Medicine and Healthcare". Nicholas Christakis is a published doctor and has 100 publications published. The lastest was: 'Cohort of birth modifies the association between FTO genotype and BMI.'

Publications

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• Social networks and health: A systematic review of sociocentric network studies in low- and middle-income countries.
• Cohort of birth modifies the association between FTO genotype and BMI.
• Static network structure can stabilize human cooperation.
• Friendship and natural selection.
• Effects of proximate foreclosed properties on individuals' systolic blood pressure in massachusetts, 1987 to 2008.
• Estimating peer effects in longitudinal dyadic data using instrumental variables.
• Association Between Social Network Communities and Health Behavior: An Observational Sociocentric Network Study of Latrine Ownership in Rural India.
• Social network predictors of latrine ownership.
• Quality versus quantity of social ties in experimental cooperative networks.
• Effects of proximate foreclosed properties on individuals' weight gain in Massachusetts, 1987-2008.
• Same-Sex Sexual Attraction Does Not Spread in Adolescent Social Networks.
• A random world is a fair world.
• Social contagion theory: examining dynamic social networks and human?behavior.
• Rejoinder to commentaries on social contagion theory.
• The evolution of homophily.
• Variation in patient-sharing networks of physicians across the United States.
• The Promises and Pitfalls of Genoeconomics*
• Viral perturbations of host networks reflect disease etiology.
• Egocentric social network structure, health, and pro-social behaviors in a national panel study of americans.
• Molecular Genetics and Economics.
• Spreading paths in partially observed social networks.
• Physician Patient-sharing Networks and the Cost and Intensity of Care in US Hospitals.
• Social networks and cooperation in hunter-gatherers.
• Putting the social into science. Forget about nature vs. nurture. The answer lies in between.
• Dynamic social networks promote cooperation in experiments with humans.
• Social network concordance in food choice among spouses, friends, and siblings.
• Proximity to Food Establishments and Body Mass Index in the Framingham Heart Study Offspring Cohort Over 30 Years.
• Reasons for Choice of Referral Physician Among Primary Care and Specialist Physicians.
• Eurekometrics: analyzing the nature of discovery.
• Longitudinal analysis of large social networks: estimating the effect of health traits on changes in friendship ties.
• Mapping Physician Networks with Self-Reported and Administrative Data.
• Social network determinants of depression.
• Correlated genotypes in friendship networks.
• Minimal social network effects evident in cancer screening behavior.
• Geographic constraints on social network groups.
• Emotions as infectious diseases in a large social network: the SISa model.
• Preliminary evidence regarding the hypothesis that the sex ratio at sexual maturity may affect longevity in men.
• The spread of alcohol consumption behavior in a large social network.
• Cooperative behavior cascades in human social networks.
• Associations of environmental factors with elderly health and mortality in China.
• Social network sensors for early detection of contagious outbreaks.
• The spread of sleep loss influences drug use in adolescent social networks.
• Infectious disease modeling of social contagion in networks.
• Alone in the crowd: the structure and spread of loneliness in a large social network.
• Association between widowhood and risk of diagnosis with a sexually transmitted infection in older adults.
• Responsibility and reflection: understanding our responses to perceived errors. A response to Woodward, Lemer and Wu.
• On the prospects for a blame-free medical culture.
• Cancer metastasis networks and the prediction of progression patterns.
• The anthroposphere is changing.
• The impact of cellular networks on disease comorbidity.
• A dynamic network approach for the study of human phenotypes.
• Model of genetic variation in human social networks.
• Social science. Computational social science.
• This allergies hysteria is just nuts.
• Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study.
• Wives and ex-wives: a new test for homogamy bias in the widowhood effect.
• The effect of widowhood on mortality by the causes of death of both spouses.
• Valuing the well connected.
• Estimating peer effects on health in social networks: a response to Cohen-Cole and Fletcher; and Trogdon, Nonnemaker, and Pais.
• Too quietly into the night.
• The implications of human metabolic network topology for disease comorbidity.
• Health care in a web.
• The provision of hospital chaplaincy in the United States: a national overview.
• The collective dynamics of smoking in a large social network.
• Medicine may change our genes.
• Don''t just blame the system.
• Racial disparity in hospice use in the United States in 2002.
• Measuring clinically significant chemotherapy-related toxicities using Medicare claims from Cancer and Leukemia Group B (CALGB) trial participants.
• When networks can teach us about drug use.
• Widowhood and mortality among the elderly: the modifying role of neighborhood concentration of widowed individuals.
• Geographic variation in hospice use in the United States in 2002.
• The emotional toll of spousal morbidity and mortality.
• The spread of obesity in a large social network over 32 years.
• Advances in palliative care research methodology.
• Identifying, recruiting, and retaining seriously-ill patients and their caregivers in longitudinal research.
• Measuring disease-free survival and cancer relapse using Medicare claims from CALGB breast cancer trial participants (companion to 9344).
• Prospective effect of community distress and subcultural orientation on mortality following life-threatening diseases in later life.
• Mortality after the hospitalization of a spouse.
• "Are you at peace?": one item to probe spiritual concerns at the end of life.
• Investigating euthanasia: methodological, ethical and clinical considerations.
• Prognostic factors in advanced cancer patients: evidence-based clinical recommendations--a study by the Steering Committee of the European Association for Palliative C...
• Effect of specific aspects of community social environment on the mortality of individuals diagnosed with serious illness.
• Neighborhood effects on posthospitalization mortality: a population-based cohort study of the elderly in Chicago.
• Criterion validity of Medicare chemotherapy claims in Cancer and Leukemia Group B breast and lung cancer trial participants.
• Income inequality and weight status in US metropolitan areas.
• Social networks and collateral health effects.
• Measuring quality of life at the end of life: validation of the QUAL-E.
• Marriage, widowhood, and health-care use.
• The health impact of health care on families: a matched cohort study of hospice use by decedents and mortality outcomes in surviving, widowed spouses.
• A systematic review of physicians'' survival predictions in terminally ill cancer patients.
• Complexities in prognostication in advanced cancer: "to help them live their lives the way they want to".
• Favorable cardiac risk among elderly breast carcinoma survivors.
• Self-perception of weight appropriateness in the United States.
• Why Oregon matters: death, assisted suicide and the principle of double effect.
• The lack of effect of market structure on hospice use.
• Initial assessment of a new instrument to measure quality of life at the end of life.
• Racial, ethnic, and affluence differences in elderly patients' use of teaching hospitals.
• Disease-specific patterns of hospice and related healthcare use in an incidence cohort of seriously ill elderly patients.
• Care after the onset of serious illness: a novel claims-based dataset exploiting substantial cross-set linkages to study end-of-life care.

Schools

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• Harvard Medical School

Doctors Specialties

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• Internal Medicine

Accepted Insurances

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Awards

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• Elected Member
• Whos Who in Medicine and Healthcare

Education

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• University of Pennsylvania Health System
• Harvard Medical School

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