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Biology and Biochemistry
China
2023

D-Index & Metrics

Biology and Biochemistry

D-Index
103
Citations
80984
World Ranking
1282
National Ranking
25

Research.com Recognitions

  • 2023 - Research.com Biology and Biochemistry in China Leader Award

Overview

Kai Wang is affiliated with Hebei University in China and conducts research primarily in the fields of Engineering and Medicine. Their work encompasses a broad range of subfields, including Materials Chemistry, Electrical and Electronic Engineering, Molecular Biology, Biomedical Engineering, and Cognitive Neuroscience.

The scientist's research covers several main topics, such as:

  • Functional Brain Connectivity Studies
  • Advanced Photocatalysis Techniques
  • Advanced Battery Materials and Technologies
  • Perovskite Materials and Applications
  • Luminescence and Fluorescent Materials
  • Advancements in Battery Materials
  • Advanced Sensor and Energy Harvesting Materials

Kai Wang has contributed to multiple frequent publication venues, indicating the interdisciplinary nature of their research. The most common publication outlets include:

  • Chemical Engineering Journal
  • Journal of Colloid and Interface Science
  • Advanced Functional Materials
  • Nature Communications
  • Angewandte Chemie International Edition

Selected recent papers illustrate the range and focus of the scientist's research efforts:

  • Multiple early factors anticipate post-acute COVID-19 sequelae, 2022, Cell
  • RIS-Aided Wireless Communications: Prototyping, Adaptive Beamforming, and Indoor/Outdoor Field Trials, 2021, IEEE Transactions on Communications
  • High-Entropy Metal-Organic Frameworks for Highly Reversible Sodium Storage, 2021, Advanced Materials
  • Pressure-Induced Blue-Shifted and Enhanced Emission: A Cooperative Effect between Aggregation-Induced Emission and Energy-Transfer Suppression, 2020, Journal of the American Chemical Society
  • Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images, 2021, Nature Biomedical Engineering

The scientist regularly collaborates with several frequent co-authors, showing ongoing research partnerships. These include:

  • Yanghua Tian
  • Tongjian Bai
  • Bo Zou
  • Gong-Jun Ji
  • Zhiliang Jin

Best Publications

  • ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data

    Kai Wang;Mingyao Li;Hakon Hakonarson

  • Candidate gene for the chromosome 1 familial Alzheimer's disease locus

    Ephrat Levy-Lahad;Wilma Wasco;Parvoneh Poorkaj;Donna M. Romano

  • Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci

    Andre Franke;Dermot P B McGovern;Jeffrey C. Barrett;Kai Wang

  • The MicroRNA Spectrum in 12 Body Fluids

    Jessica A. Weber;David H. Baxter;Shile Zhang;David Y. Huang

  • Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

    Stephen Sawcer;Garrett Hellenthal;Matti Pirinen;Chris C. A. Spencer

  • Functional impact of global rare copy number variation in autism spectrum disorders

    Dalila Pinto;Alistair T. Pagnamenta;Lambertus Klei;Richard Anney

  • PennCNV: An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data

    Kai Wang;Mingyao Li;Dexter Hadley;Rui Liu

  • Autism genome-wide copy number variation reveals ubiquitin and neuronal genes

    Joseph T. Glessner;Kai Wang;Guiqing Cai;Olena Korvatska

  • Circulating microRNAs, potential biomarkers for drug-induced liver injury

    Kai Wang;Shile Zhang;Bruz Marzolf;Pamela Troisch

  • Export of microRNAs and microRNA-protective protein by mammalian cells

    Kai Wang;Shile Zhang;Jessica Weber;David S Baxter

  • Common genetic variants on 5p14.1 associate with autism spectrum disorders

    Kai Wang;Haitao Zhang;Deqiong Ma;Maja Bucan

  • Comparison and integration of deleteriousness prediction methods for nonsynonymous SNVs in whole exome sequencing studies

    Chengliang Dong;Peng Wei;Xueqiu Jian;Richard Gibbs

  • Pathway-Based Approaches for Analysis of Genomewide Association Studies

    Kai Wang;Mingyao Li;Maja Bucan

  • Rare Variants Create Synthetic Genome-Wide Associations

    Samuel P. Dickson;Kai Wang;Ian Krantz;Ian Krantz;Ian Krantz;Hakon Hakonarson;Hakon Hakonarson;Hakon Hakonarson

  • Genotype, haplotype and copy-number variation in worldwide human populations

    Mattias Jakobsson;Sonja W. Scholz;Sonja W. Scholz;Paul A Scheet;J. Raphael Gibbs;J. Raphael Gibbs

  • Analysing biological pathways in genome-wide association studies

    Kai Wang;Kai Wang;Mingyao Li;Hakon Hakonarson;Hakon Hakonarson

  • InterVar: Clinical Interpretation of Genetic Variants by the 2015 ACMG-AMP Guidelines

    Quan Li;Kai Wang;Kai Wang

  • Genomic variant annotation and prioritization with ANNOVAR and wANNOVAR

    Hui Yang;Kai Wang

  • Extracellular microRNA: A new source of biomarkers

    Alton Etheridge;Inyoul Lee;Leroy Hood;David Galas

  • Comparing the MicroRNA spectrum between serum and plasma.

    Kai Wang;Yue Yuan;Ji-Hoon Cho;Sara McClarty

Frequent Co-Authors

Leroy Hood
Leroy Hood University of Washington
David J. Galas
David J. Galas Pacific Northwest Diabetes Research Institute
Hakon Hakonarson
Hakon Hakonarson Children's Hospital of Philadelphia
Luis C. Ho
Luis C. Ho Peking University
Gholson J. Lyon
Gholson J. Lyon Cold Spring Harbor Laboratory
Jubao Duan
Jubao Duan University of Chicago
Mingyao Li
Mingyao Li University of Pennsylvania
Zhongming Zhao
Zhongming Zhao The University of Texas Health Science Center at Houston
Nathan D. Price
Nathan D. Price University of Illinois at Urbana-Champaign
Struan F.A. Grant
Struan F.A. Grant University of Pennsylvania

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