World's Best Scientists 2026 revealed!

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Medicine

D-Index
109
Citations
54199
World Ranking
5696
National Ranking
3067

Research.com Recognitions

  • 2011 - COPSS Presidents' Award For outstanding contributions to the statistical sciences by ingenious methodological research with applications in epidemiology and genetics, including studies of gene-environment interactions, disease heterogeneity and genome-wide association studies; for fundamental contributions to the theory of case-control studies and complex retrospective sampling designs;
  • 2008 - Fellow of the American Statistical Association (ASA)

Overview

Nilanjan Chatterjee is affiliated with Johns Hopkins University in the United States. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, with a secondary focus in Medicine. Within these areas, they have contributed extensively to subfields including Genetics, Molecular Biology, Oncology, Cancer Research, and Nephrology.

The scientist has authored publications addressing various topics, notably:

  • Genetic Associations and Epidemiology
  • BRCA gene mutations in cancer
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic and phenotypic traits in livestock
  • Bioinformatics and Genomic Networks
  • Cancer Risks and Factors
  • Cancer Genomics and Diagnostics

Frequent collaborators of Nilanjan Chatterjee include Montserrat García-Closas, Diptavo Dutta, Josef Coresh, Parichoy Pal Choudhury, and Jin Jin.

Their research is disseminated in a range of publication venues, with the most frequent being:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cancer Research
  • Nature Communications
  • Cancer Epidemiology Biomarkers & Prevention
  • UNC Libraries

Recent representative publications by Nilanjan Chatterjee include:

  • "Cancer therapy shapes the fitness landscape of clonal hematopoiesis," 2020, Nature Genetics
  • "Improving reporting standards for polygenic scores in risk prediction studies," 2021, Nature
  • "Plasma proteome analyses in individuals of European and African ancestry identify cis-pQTLs and models for proteome-wide association studies," 2022, Nature Genetics
  • "Principles and methods for transferring polygenic risk scores across global populations," 2023, Nature Reviews Genetics
  • "Large-scale plasma proteomic analysis identifies proteins and pathways associated with dementia risk," 2021, Nature Aging

Nilanjan Chatterjee has received recognition in the form of awards including the COPSS Presidents' Award in 2011 for methodological contributions to statistical sciences in epidemiology and genetics, and was named Fellow of the American Statistical Association in 2008.

Best Publications

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda

  • Pan-cancer analysis of whole genomes

    Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart

  • Hundreds of variants clustered in genomic loci and biological pathways affect human height

    Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt

  • A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer

    David J Hunter;David J Hunter;Peter Kraft;Kevin B Jacobs;David G Cox

  • Genome-wide association study of prostate cancer identifies a second risk locus at 8q24

    Meredith Yeager;Nick Orr;Richard B Hayes;Kevin B Jacobs

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    E. K. Speliotes;C. J. Willer;S. I. Berndt;K. L. Monda

  • Multiple loci identified in a genome-wide association study of prostate cancer

    Gilles Thomas;Kevin B Jacobs;Meredith Yeager;Meredith Yeager;Peter Kraft

  • Patterns of somatic structural variation in human cancer genomes

    Yilong Li;Nicola D Roberts;Jeremiah A Wala;Jeremiah A Wala;Ofer Shapira;Ofer Shapira

  • Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

    Nasim Mavaddat;Kyriaki Michailidou;Kyriaki Michailidou;Joe Dennis;Michael Lush

  • Estimation of effect size distribution from genome-wide association studies and implications for future discoveries

    Ju Hyun Park;Sholom Wacholder;Mitchell H. Gail;Ulrike Peters

  • NAT2 slow acetylation, GSTM1 null genotype, and risk of bladder cancer: results from the Spanish Bladder Cancer Study and meta-analyses.

    Montserrat García-Closas;Núria Malats;Debra Silverman;Mustafa Dosemeci

  • Estrogen receptor breast cancer phenotypes in the Surveillance, Epidemiology, and End Results database.

    William F. Anderson;Nilanjan Chatterjee;William B. Ershler;Otis W. Brawley

  • Developing and evaluating polygenic risk prediction models for stratified disease prevention

    Nilanjan Chatterjee;Jianxin Shi;Montserrat García-Closas

  • Detectable clonal mosaicism and its relationship to aging and cancer

    Kevin B. Jacobs;Kevin B. Jacobs;Meredith Yeager;Meredith Yeager;Weiyin Zhou;Weiyin Zhou;Sholom Wacholder

  • A multistage genome-wide association study in breast cancer identifies two new risk alleles at 1p11.2 and 14q24.1 (RAD51L1).

    Gilles Thomas;Kevin B Jacobs;Kevin B Jacobs;Peter Kraft;Meredith Yeager;Meredith Yeager

  • A Genome-wide Association Study of Lung Cancer Identifies a Region of Chromosome 5p15 Associated with Risk for Adenocarcinoma.

    Maria Teresa Landi;Nilanjan Chatterjee;Kai Yu;Lynn R. Goldin

  • BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors.

    Andrew Lee;Nasim Mavaddat;Amber N Wilcox;Alex P Cunningham

  • Genome-wide association study of prostate cancer identifies a second risk locus at 8q24

    Adam S. Kibel

  • Detectable clonal mosaicism and its relationship to aging and cancer

    Kevin B. Jacobs;Meredith Yeager;Weiyin Zhou;Sholom Wacholder

  • Hundreds of variants clustered in genomic loci and biological pathways affect human height

    H. Lango Allen;K. Estrada;G. Lettre;S. I. Berndt

Frequent Co-Authors

Stephen J. Chanock
Stephen J. Chanock National Institutes of Health
Meredith Yeager
Meredith Yeager Hood College
Montserrat Garcia-Closas
Montserrat Garcia-Closas National Institutes of Health
Peter Kraft
Peter Kraft Harvard University
David J. Hunter
David J. Hunter Harvard University
Zhaoming Wang
Zhaoming Wang St. Jude Children's Research Hospital
Nathaniel Rothman
Nathaniel Rothman National Institutes of Health
Neil E. Caporaso
Neil E. Caporaso National Institutes of Health
Maria Teresa Landi
Maria Teresa Landi National Institutes of Health
Kevin B. Jacobs
Kevin B. Jacobs Progenity (United States)

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