H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 80 Citations 30,363 222 World Ranking 1711 National Ranking 25
Medicine D-index 78 Citations 22,988 235 World Ranking 10402 National Ranking 100

Research.com Recognitions

Awards & Achievements

2010 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Internal medicine
  • Genetics

Kang Zhang mostly deals with Genetics, Macular degeneration, Cell biology, Genome-wide association study and Allele. His studies in Gene, Locus, Haplotype, Human genome and CpG site are all subfields of Genetics research. The Human genome study which covers Biomarkers of aging that intersects with Epigenetics and DNA methylation.

His Macular degeneration research integrates issues from Retinal, Factor H and Atrophy. His study in Cell biology is interdisciplinary in nature, drawing from both Cell cycle, Mutant and Cellular differentiation. The study incorporates disciplines such as Case-control study and Genetic association in addition to Genome-wide association study.

His most cited work include:

  • Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates (1400 citations)
  • Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates (1400 citations)
  • Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning (1032 citations)

What are the main themes of his work throughout his whole career to date?

Kang Zhang mainly investigates Genetics, Macular degeneration, Cell biology, Ophthalmology and Internal medicine. His research in Gene, Locus, Haplotype, Retinitis pigmentosa and Genome-wide association study are components of Genetics. Kang Zhang has included themes like Retinal pigment epithelium, Age related and Pathology in his Macular degeneration study.

In his study, Retinal is inextricably linked to Retina, which falls within the broad field of Cell biology. The concepts of his Internal medicine study are interwoven with issues in Diabetic retinopathy, Endocrinology, Oncology, Allele and Genotype. His work deals with themes such as Methylation and DNA methylation, which intersect with Oncology.

He most often published in these fields:

  • Genetics (31.71%)
  • Macular degeneration (31.71%)
  • Cell biology (21.51%)

What were the highlights of his more recent work (between 2017-2021)?

  • Cell biology (21.51%)
  • Gene (17.96%)
  • Methylation (8.43%)

In recent papers he was focusing on the following fields of study:

Kang Zhang mainly focuses on Cell biology, Gene, Methylation, CRISPR and Reprogramming. His work is dedicated to discovering how Cell biology, Gene knockdown are connected with Epigenome and Genome editing and other disciplines. The subject of his Gene research is within the realm of Genetics.

His Methylation research is multidisciplinary, incorporating perspectives in Internal medicine, Oncology and DNA methylation. His studies deal with areas such as Genetic enhancement and Mutation as well as CRISPR. His biological study spans a wide range of topics, including Genome-wide association study, Disease, Genetic association, Genetic variation and Haplotype.

Between 2017 and 2021, his most popular works were:

  • Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning (1032 citations)
  • Characteristics of pediatric SARS-CoV-2 infection and potential evidence for persistent fecal viral shedding. (719 citations)
  • Characteristics of pediatric SARS-CoV-2 infection and potential evidence for persistent fecal viral shedding. (719 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Internal medicine
  • Cancer

Kang Zhang spends much of his time researching Cell biology, Artificial intelligence, Deep learning, Medical diagnosis and MEDLINE. His Cell biology study integrates concerns from other disciplines, such as Niche, Gene knockdown, Retina, Regulation of gene expression and Epigenome. Kang Zhang has researched Gene knockdown in several fields, including Genome editing, CRISPR, Reprogramming, HEK 293 cells and Genetic enhancement.

His Deep learning research incorporates elements of Transfer of learning, Interpretability and Blinding. His Medical diagnosis research includes elements of Artificial neural network and Medical imaging. His MEDLINE research is multidisciplinary, relying on both Data point, Clinical decision support system and Pediatric patient.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates

Gregory Hannum;Justin Guinney;Ling Zhao;Ling Zhao;Li Zhang.
Molecular Cell (2013)

1677 Citations

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

Daniel S. Kermany;Daniel S. Kermany;Michael Goldbaum;Wenjia Cai;Carolina C.S. Valentim.
Cell (2018)

1329 Citations

Characteristics of pediatric SARS-CoV-2 infection and potential evidence for persistent fecal viral shedding.

Yi Xu;Xufang Li;Bing Zhu;Huiying Liang.
Nature Medicine (2020)

1046 Citations

Sequence- and target-independent angiogenesis suppression by siRNA via TLR3

Mark E. Kleinman;Kiyoshi Yamada;Atsunobu Takeda;Vasu Chandrasekaran.
Nature (2008)

991 Citations

A Variant of the HTRA1 Gene Increases Susceptibility to Age-Related Macular Degeneration

Zhenglin Yang;Nicola J. Camp;Hui Sun;Zongzhong Tong.
Science (2006)

857 Citations

Vascular development in the retina and inner ear: Control by Norrin and frizzled-4, a high-affinity ligand-receptor pair

Qiang Xu;Yanshu Wang;Alain Dabdoub;Philip M Smallwood.
Cell (2004)

851 Citations

Seven-year outcomes in ranibizumab-treated patients in ANCHOR, MARINA, and HORIZON: a multicenter cohort study (SEVEN-UP).

Soraya Rofagha;Robert B. Bhisitkul;David S. Boyer;SriniVas R. Sadda.
Ophthalmology (2013)

803 Citations

In vivo genome editing via CRISPR/Cas9 mediated homology-independent targeted integration

Keiichiro Suzuki;Yuji Tsunekawa;Reyna Hernández-Benítez;Reyna Hernández-Benítez;Jun Wu;Jun Wu.
Nature (2016)

711 Citations

Drusen complement components C3a and C5a promote choroidal neovascularization

Miho Nozaki;Brian J. Raisler;Eiji Sakurai;J. Vidya Sarma.
Proceedings of the National Academy of Sciences of the United States of America (2006)

673 Citations

Reprogramming of Human Primary Somatic Cells by OCT4 and Chemical Compounds

Saiyong Zhu;Wenlin Li;Hongyan Zhou;Wanguo Wei.
Cell Stem Cell (2010)

663 Citations

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