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
Biology and Biochemistry D-index 49 Citations 27,325 188 World Ranking 13390 National Ranking 5656

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Cancer
  • DNA

Xiaoping Su mainly focuses on Cancer research, Gene, Genomics, Mutation and microRNA. His work deals with themes such as Cell culture, Cancer, RNA, Circular RNA and Leukemia, which intersect with Cancer research. His Genomics research is multidisciplinary, relying on both Germline mutation, Computational biology and Point mutation.

His work carried out in the field of Computational biology brings together such families of science as Genomic Profile, Cancer genome and Medical genetics. The concepts of his Medical genetics study are interwoven with issues in Epigenetics and Gene expression profiling. The microRNA study which covers DNA methylation that intersects with Urinary bladder, DNA sequencing and Carcinoma.

His most cited work include:

  • The cancer genome atlas pan-cancer analysis project (3506 citations)
  • Comprehensive molecular characterization of urothelial bladder carcinoma (1756 citations)
  • Genome-wide analysis of genetic alterations in acute lymphoblastic leukaemia (1426 citations)

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

His scientific interests lie mostly in Cancer research, Gene, Molecular biology, Genetics and Bioinformatics. The various areas that Xiaoping Su examines in his Cancer research study include Cancer, DNA methylation, Mutation, Transcriptome and Leukemia. Xiaoping Su interconnects Carcinogenesis, DNA damage and Loss of heterozygosity in the investigation of issues within Molecular biology.

His study in Epigenetics, CDKN2A, Single-nucleotide polymorphism, DNA sequencing and Exome sequencing is carried out as part of his Genetics studies. The Bioinformatics study combines topics in areas such as Oncology, Gene expression profiling, Internal medicine, Carcinoma and Long non-coding RNA. His biological study spans a wide range of topics, including Computational biology and Genomics.

He most often published in these fields:

  • Cancer research (45.18%)
  • Gene (21.32%)
  • Molecular biology (17.77%)

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

  • Cancer research (45.18%)
  • Transcriptome (11.17%)
  • Immune system (6.09%)

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

His primary areas of investigation include Cancer research, Transcriptome, Immune system, Gene and Renal medullary carcinoma. His Cancer research study combines topics in areas such as Cancer, Cell culture, Gene knockdown, Downregulation and upregulation and Signal transduction. His work carried out in the field of Gene brings together such families of science as Molecular biology, Cell and DNA damage.

The various areas that Xiaoping Su examines in his Gene expression study include Genomics, Computational biology and T-cell receptor. Xiaoping Su has included themes like Whole genome sequencing, Germline, Point mutation, Chromothripsis and Massive parallel sequencing in his Genomics study. His Gene expression profiling study integrates concerns from other disciplines, such as Single cell sequencing and Pediatric cancer.

Between 2017 and 2021, his most popular works were:

  • Pan-cancer analysis of whole genomes (538 citations)
  • The Integrated Genomic Landscape of Thymic Epithelial Tumors (87 citations)
  • APOBEC mutation drives early-onset squamous cell carcinomas in recessive dystrophic epidermolysis bullosa. (44 citations)

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

  • Gene
  • Cancer
  • DNA

Xiaoping Su mainly investigates Cancer research, Cell, Transcriptome, Cell growth and Computational biology. The study incorporates disciplines such as Gene knockdown, Innate immune system, Immune system, Signal transduction and Regulation of gene expression in addition to Cancer research. His Cell study combines topics from a wide range of disciplines, such as APOBEC, APOBEC Deaminases, Mutation, Carcinoma and Mucous membrane.

His Transcriptome study introduces a deeper knowledge of Gene. His research in Gene intersects with topics in Malignancy, Interferon, Renal medullary carcinoma, Molecular biology and Transforming growth factor beta. Xiaoping Su has researched Computational biology in several fields, including Germline mutation, Epigenetics, Basal and DNA methylation.

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

The cancer genome atlas pan-cancer analysis project

John N Weinstein;John N Weinstein;Eric A. Collisson;Gordon B Mills;Kenna R Mills Shaw;Kenna R Mills Shaw.
Nature Genetics (2013)

4865 Citations

Comprehensive molecular characterization of urothelial bladder carcinoma

John N Weinstein;Rehan Akbani;Bradley McIntosh Broom;Wenyi Wang.
Nature (2014)

3213 Citations

Genome-wide analysis of genetic alterations in acute lymphoblastic leukaemia

Charles G. Mullighan;Salil Goorha;Ina Radtke;Christopher B. Miller.
Nature (2007)

1974 Citations

Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer

A. Gordon Robertson;Jaegil Kim;Hikmat Al-Ahmadie;Joaquim Bellmunt.
Cell (2017)

1570 Citations

Deletion of IKZF1 and prognosis in acute lymphoblastic leukemia.

Charles G Mullighan;Xiaoping Su;Jinghui Zhang;Ina Radtke.
The New England Journal of Medicine (2009)

1474 Citations

Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma

Adrian Ally;Miruna Balasundaram;Rebecca Carlsen;Eric Chuah.
Cell (2017)

1286 Citations

Pan-cancer analysis of whole genomes

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

1275 Citations

Circular RNA circMTO1 acts as the sponge of microRNA-9 to suppress hepatocellular carcinoma progression.

Dan Han;Jiangxue Li;Huamin Wang;Xiaoping Su.
Hepatology (2017)

990 Citations

PD-L1 Expression in Triple-Negative Breast Cancer

Elizabeth A Mittendorf;Anne V Philips;Funda Meric-Bernstam;Na Qiao.
Cancer immunology research (2014)

975 Citations

Early T-cell precursor leukaemia: a subtype of very high-risk acute lymphoblastic leukaemia

Elaine Coustan-Smith;Charles G. Mullighan;Mihaela Onciu;Frederick G. Behm.
Lancet Oncology (2009)

966 Citations

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