World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
84
Citations
55893
World Ranking
1331
National Ranking
630

Overview

Jianxin Shi is affiliated with the National Institutes of Health in the United States. Their research spans the fields of Biochemistry, Genetics and Molecular Biology, with significant contributions also in Medicine. They have an extensive publication record in subfields such as Molecular Biology, Genetics, Cancer Research, Periodontics, and Pulmonary and Respiratory Medicine.

The scientist's work covers a variety of topics, reflecting interdisciplinary expertise. Key areas of research include:

  • Epigenetics and DNA Methylation
  • Gut microbiota and health
  • Genetic Associations and Epidemiology
  • Cancer Genomics and Diagnostics
  • Oral microbiology and periodontitis research
  • RNA modifications and cancer
  • Colorectal Cancer Screening and Detection

Jianxin Shi's frequent publication venues show a focus on cancer and biomedical research, with numerous articles appearing in:

  • Cancer Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • UNC Libraries
  • Thorax

The scientist has collaborated extensively with other researchers, notably including Tongwu Zhang, Maria Teresa Landi, Xing Hua, Emily Vogtmann, and Stephen J. Chanock.

Among recent papers authored or coauthored by Jianxin Shi are:

  • "Minimal phenotyping yields genome-wide association signals of low specificity for major depression" (2020, Nature Genetics)
  • "Genomic and evolutionary classification of lung cancer in never smokers" (2021, Nature Genetics)
  • "Genetic and epigenetic intratumor heterogeneity impacts prognosis of lung adenocarcinoma" (2020, Nature Communications)
  • "Allele-specific open chromatin in human iPSC neurons elucidates functional disease variants" (2020, Science)
  • "Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders" (2021, Biological Psychiatry)

Best Publications

  • Biological insights from 108 schizophrenia-associated genetic loci

    Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters

  • 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

  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

    Naomi R. Wray;Stephan Ripke;Stephan Ripke;Stephan Ripke;Manuel Mattheisen;MacIej Trzaskowski

  • Genome-wide association study identifies five new schizophrenia loci

    Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson

  • Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

    S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone

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

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

  • Defining the role of common variation in the genomic and biological architecture of adult human height

    Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam

  • Genetic studies of body mass index yield new insights for obesity biology

    Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice

  • Genome-wide association study identifies 74 loci associated with educational attainment

    Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee

  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev

  • Common variants on chromosome 6p22.1 are associated with schizophrenia

    Jianxin Shi;Douglas F. Levinson;Jubao Duan;Alan R. Sanders

  • Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

    Phil H. Lee;Verneri Anttila;Hyejung Won;Yen-Chen A. Feng

  • A mega-analysis of genome-wide association studies for major depressive disorder

    Stephan Ripke;Naomi R Wray;Cathryn M Lewis;Steven P Hamilton

  • 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

  • Genome-wide meta-analyses identify multiple loci associated with smoking behavior

    Helena Furberg;Yunjung Kim;Jennifer Dackor;Eric Boerwinkle

  • Human Gut Microbiome and Risk for Colorectal Cancer

    Jiyoung Ahn;Rashmi Sinha;Zhiheng Pei;Christine Dominianni

  • Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

    Christian R Marshall;Daniel P Howrigan;Daniel P Howrigan;Daniele Merico;Bhooma Thiruvahindrapuram

  • A mega-analysis of genome-wide association studies for major depressive disorder

    S. Ripke;N. R. Wray;C. M. Lewis;S. P. Hamilton

  • Genome-wide association study identifies 74 loci associated with educational attainment

    Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee

  • 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

Pablo V. Gejman
Pablo V. Gejman NorthShore University HealthSystem
Alan R. Sanders
Alan R. Sanders NorthShore University HealthSystem
Douglas F. Levinson
Douglas F. Levinson Stanford University
Jubao Duan
Jubao Duan University of Chicago
Stephen J. Chanock
Stephen J. Chanock National Institutes of Health
Tonu Esko
Tonu Esko University of Tartu
Stephan Ripke
Stephan Ripke Massachusetts General Hospital
Kari Stefansson
Kari Stefansson deCODE Genetics (Iceland)
Nicholas G. Martin
Nicholas G. Martin QIMR Berghofer Medical Research Institute

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re passionate about Genetics but exploring flexible education or different roles in healthcare, a range of online degree options are available. Many prospective students are drawn to medical and health sciences pathways that offer accredited programs without heavy hands-on clinical requirements. For example, rn to bsn online programs often allow registered nurses to further their education remotely with minimal in-person labs.

Those seeking advanced practice can benefit from the shortest msn to dnp program options, which condense study timelines for working nurses. There are also accelerated medical assistant programs for individuals looking to quickly enter the healthcare workforce and gain practical skills.

Additionally, some online dnp programs without clinicals cater to those aiming for leadership or research-oriented roles without extensive clinical placements. These diverse online options can complement a journey in Genetics, providing entry points or upskilling opportunities within the rapidly evolving health and life science fields.

Best Scientists Citing Jianxin Shi

Trending Scientists