D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Medicine D-index 90 Citations 41,300 786 World Ranking 7501 National Ranking 199
Genetics D-index 94 Citations 44,604 872 World Ranking 587 National Ranking 19

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Cancer
  • Mutation

His primary areas of study are Genetics, Gene, Mutation, Cancer research and Leukemia. His Gene study integrates concerns from other disciplines, such as Algorithm, Computational biology and Akaike information criterion. Satoru Miyano interconnects Cancer, Internal medicine, Somatic evolution in cancer, Molecular biology and NPM1 in the investigation of issues within Mutation.

His research in Cancer research intersects with topics in Cancer cell and T-cell lymphoma, Lymphoma. The various areas that Satoru Miyano examines in his Leukemia study include Myeloid, Myeloid leukemia and Myelodysplastic syndromes. Satoru Miyano combines subjects such as Bayes' theorem and Gene expression profiling with his study of Gene regulatory network.

His most cited work include:

  • Open source clustering software (2415 citations)
  • International network of cancer genome projects (1611 citations)
  • Frequent pathway mutations of splicing machinery in myelodysplasia (1387 citations)

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

His primary scientific interests are in Genetics, Gene, Cancer research, Computational biology and Gene regulatory network. His Genetics study deals with Myeloid intersecting with Myelodysplastic syndromes. His Gene expression, Gene expression profiling and RNA splicing investigations are all subjects of Gene research.

His research in Cancer research focuses on subjects like Leukemia, which are connected to Myeloid leukemia. Computational biology is closely attributed to Bioinformatics in his work. His studies deal with areas such as Microarray analysis techniques, Bayesian network, Artificial intelligence and Data mining as well as Gene regulatory network.

He most often published in these fields:

  • Genetics (18.62%)
  • Gene (15.57%)
  • Cancer research (15.47%)

What were the highlights of his more recent work (between 2016-2021)?

  • Cancer research (15.47%)
  • Cancer (9.36%)
  • Internal medicine (9.75%)

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

His primary areas of investigation include Cancer research, Cancer, Internal medicine, Gene and Mutation. His Cancer research research is multidisciplinary, incorporating perspectives in Exome sequencing, Leukemia, KRAS and Carcinogenesis. His study focuses on the intersection of Leukemia and fields such as Myeloid with connections in the field of Myelodysplastic syndromes.

His study looks at the relationship between Cancer and fields such as Computational biology, as well as how they intersect with chemical problems. His Internal medicine research is multidisciplinary, incorporating elements of Oncology and Gene mutation. His Gene study results in a more complete grasp of Genetics.

Between 2016 and 2021, his most popular works were:

  • Pan-cancer analysis of whole genomes (538 citations)
  • Age-related remodelling of oesophageal epithelia by mutated cancer drivers (192 citations)
  • Dynamics of clonal evolution in myelodysplastic syndromes (192 citations)

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

  • Gene
  • Cancer
  • Mutation

Satoru Miyano mainly investigates Cancer research, Exome sequencing, Mutation, Internal medicine and Leukemia. His Cancer research study combines topics from a wide range of disciplines, such as Carcinogenesis, Cancer, Colorectal cancer, T cell and Neuroblastoma RAS viral oncogene homolog. His Exome sequencing research incorporates themes from KRAS, Germline mutation, Computational biology and Genomics.

His Mutation study improves the overall literature in Genetics. His Internal medicine research integrates issues from Immunology and Oncology. The concepts of his Leukemia study are interwoven with issues in Somatic cell, Myeloid, Myeloid leukemia, Lymphoma and Bone marrow.

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

Open source clustering software

M.J.L. De Hoon;S. Imoto;J. Nolan;S. Miyano.
Bioinformatics (2004)

3236 Citations

Frequent pathway mutations of splicing machinery in myelodysplasia

Kenichi Yoshida;Masashi Sanada;Yuichi Shiraishi;Daniel Nowak.
Nature (2011)

2061 Citations

International network of cancer genome projects

Thomas J. Hudson;Thomas J. Hudson;Warwick Anderson;Axel Aretz;Anna D. Barker.
(2010)

1839 Citations

Landscape of genetic lesions in 944 patients with myelodysplastic syndromes

T Haferlach;Y Nagata;V Grossmann;Y Okuno.
Leukemia (2014)

1370 Citations

Long Noncoding RNA HOTAIR Regulates Polycomb-Dependent Chromatin Modification and Is Associated with Poor Prognosis in Colorectal Cancers

Ryunosuke Kogo;Teppei Shimamura;Koshi Mimori;Kohichi Kawahara.
Cancer Research (2011)

1368 Citations

Pan-cancer analysis of whole genomes

Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart.
(2020)

1275 Citations

Identification of genetic networks from a small number of gene expression patterns under the Boolean network model.

Tatsuya Akutsu;Satoru Miyano;Satoru Kuhara.
pacific symposium on biocomputing (1998)

1000 Citations

Integrated molecular analysis of clear-cell renal cell carcinoma.

Yusuke Sato;Tetsuichi Yoshizato;Yuichi Shiraishi;Shigekatsu Maekawa.
Nature Genetics (2013)

957 Citations

Whole-genome sequencing of liver cancers identifies etiological influences on mutation patterns and recurrent mutations in chromatin regulators

Akihiro Fujimoto;Yasushi Totoki;Tetsuo Abe;Keith A. Boroevich.
Nature Genetics (2012)

878 Citations

Extensive feature detection of N-terminal protein sorting signals.

Hideo Bannai;Yoshinori Tamada;Osamu Maruyama;Kenta Nakai.
Bioinformatics (2002)

856 Citations

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