D-Index & Metrics
Neil D. Young

Neil D. Young

University of Melbourne
Australia

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Genome

His primary scientific interests are in Amoebic gill disease, Genetics, Transcriptome, Liver fluke and Zoology. His Genetics study frequently links to adjacent areas such as Schistosoma. His Transcriptome study improves the overall literature in Gene.

Neil D. Young has included themes like Clonorchis sinensis, Hepatica, Fasciola hepatica, Fasciola and Parasitology in his Liver fluke study. His Clonorchis sinensis research focuses on subjects like Opisthorchis viverrini, which are linked to Opisthorchis, Genomics, Trematoda and Fasciolidae. His research integrates issues of Phylogenomics and Orthologous Gene in his study of Zoology.

His most cited work include:

  • Whole-genome sequence of Schistosoma haematobium (335 citations)
  • Ascaris suum draft genome (221 citations)
  • Unlocking the Transcriptomes of Two Carcinogenic Parasites, Clonorchis sinensis and Opisthorchis viverrini (120 citations)

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

Neil D. Young mainly focuses on Genome, Genetics, Computational biology, Gene and Genomics. The Genome study combines topics in areas such as Evolutionary biology, Biotechnology and Helminth protein. Genetics and Clonorchis sinensis are frequently intertwined in his study.

His Computational biology course of study focuses on Bioinformatics and Opisthorchis viverrini. His studies deal with areas such as Parasitology and Schistosoma haematobium as well as Genomics. His Parasitology research is multidisciplinary, incorporating elements of Disease and Liver fluke.

He most often published in these fields:

  • Genome (30.49%)
  • Genetics (27.44%)
  • Computational biology (21.34%)

What were the highlights of his more recent work (between 2018-2021)?

  • Genome (30.49%)
  • Gene (18.90%)
  • Computational biology (21.34%)

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

Neil D. Young spends much of his time researching Genome, Gene, Computational biology, Genetics and Genomics. His Genome research integrates issues from Evolutionary biology, Mitochondrial DNA, Sequence assembly, Disease and DNA sequencing. His research integrates issues of Genome evolution, Gene family, Phylogenetic tree, Comparative genomics and Phylogenetics in his study of Evolutionary biology.

His studies deal with areas such as Caenorhabditis elegans, Proteomics, Identification, Nanopore sequencing and Workflow as well as Computational biology. His Genetics study integrates concerns from other disciplines, such as Colletotrichum and Deroceras reticulatum. His biological study spans a wide range of topics, including Pathogenicity genes and Effector.

Between 2018 and 2021, his most popular works were:

  • Gene content evolution in the arthropods (45 citations)
  • Programmed knockout mutation of liver fluke granulin attenuates virulence of infection-induced hepatobiliary morbidity. (34 citations)
  • Exploration of extracellular vesicles from Ascaris suum provides evidence of parasite–host cross talk (32 citations)

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

  • Gene
  • Genetics
  • Genome

His scientific interests lie mostly in Genome, Genetics, Gene, Genomics and Cell biology. His Genome study combines topics in areas such as Sanger sequencing, DNA sequencing and Phylogenetics. His Genetics research is multidisciplinary, incorporating elements of Echinococcus granulosus and Genetic diversity.

His Gene study frequently draws connections between related disciplines such as Schistosoma haematobium. He has included themes like Evolutionary biology, Mutation, Colletotrichum, Molecular evolution and Human evolutionary genetics in his Genomics study. Neil D. Young has researched Cell biology in several fields, including Nuclear receptor, Regulation of gene expression, Haemonchus contortus and Caenorhabditis elegans.

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.

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

Contact us

Trending Scientists

Uzay Kaymak

Uzay Kaymak

Eindhoven University of Technology

Vishnu Pareek

Vishnu Pareek

Curtin University

Braja M. Das

Braja M. Das

California State University, Sacramento

Kiyoung Lee

Kiyoung Lee

Inha University

A. Daniel Jones

A. Daniel Jones

Michigan State University

Nobuyoshi Yamashita

Nobuyoshi Yamashita

National Institute of Advanced Industrial Science and Technology

Weihua Tang

Weihua Tang

Nanjing University of Science and Technology

Isaac K. Phiri

Isaac K. Phiri

University of Zambia

Anna Karion

Anna Karion

National Institute of Standards and Technology

Kathryn Haskins

Kathryn Haskins

University of Colorado Denver

Gina M. Geffen

Gina M. Geffen

University of Queensland

John E. Donovan

John E. Donovan

University of Colorado Boulder

Stephen J. Nicholls

Stephen J. Nicholls

Monash University

Federico Cappuzzo

Federico Cappuzzo

Azienda Unità Sanitaria Locale Della Romagna

Jørn Olsen

Jørn Olsen

Aarhus University

Rolando Herrero

Rolando Herrero

International Agency For Research On Cancer

Something went wrong. Please try again later.