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 57 Citations 14,669 398 World Ranking 9253 National Ranking 241

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Cancer
  • Artificial intelligence

Yue Wang spends much of his time researching Cancer research, Artificial intelligence, Cell biology, Internal medicine and Experimental autoimmune encephalomyelitis. The various areas that Yue Wang examines in his Cancer research study include Cancer, Serous fluid, Pathology, CA15-3 and Comparative genomic hybridization. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning, Magnetic resonance imaging, Maximization and Pattern recognition.

When carried out as part of a general Internal medicine research project, his work on Adverse effect is frequently linked to work in Viral load, therefore connecting diverse disciplines of study. His work focuses on many connections between Gastroenterology and other disciplines, such as Antibody, that overlap with his field of interest in Clinical endpoint and Lymphocyte. His biological study spans a wide range of topics, including Gene expression and Gene.

His most cited work include:

  • Effectiveness of convalescent plasma therapy in severe COVID-19 patients. (1013 citations)
  • Proteogenomic characterization of human colon and rectal cancer (831 citations)
  • Copy number analysis indicates monoclonal origin of lethal metastatic prostate cancer (515 citations)

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

His primary areas of investigation include Artificial intelligence, Pattern recognition, Computational biology, Internal medicine and Gene. In his work, Gene regulatory network is strongly intertwined with Data mining, which is a subfield of Artificial intelligence. His studies deal with areas such as Artificial neural network, Magnetic resonance imaging and Cluster analysis as well as Pattern recognition.

His research integrates issues of Bioinformatics and Genomics in his study of Computational biology. His Internal medicine research is multidisciplinary, relying on both Endocrinology and Oncology. His Gene research is under the purview of Genetics.

He most often published in these fields:

  • Artificial intelligence (23.27%)
  • Pattern recognition (15.67%)
  • Computational biology (13.82%)

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

  • Computational biology (13.82%)
  • Gene expression (7.14%)
  • Internal medicine (10.37%)

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

Yue Wang focuses on Computational biology, Gene expression, Internal medicine, Artificial intelligence and Pattern recognition. His Computational biology research integrates issues from Deconvolution, Type I and type II errors, Proteomics, Test statistic and Metastasis. He has included themes like Molecular biology and Breast cancer in his Gene expression study.

His Internal medicine research incorporates elements of Gastroenterology and Oncology. His Gastroenterology study integrates concerns from other disciplines, such as Viremia, Clinical endpoint, Adverse effect and Neutralizing antibody. His Artificial intelligence research includes themes of Synapse, Sample and Neurite.

Between 2018 and 2021, his most popular works were:

  • Effectiveness of convalescent plasma therapy in severe COVID-19 patients. (1013 citations)
  • The feasibility of convalescent plasma therapy in severe COVID-19 patients: a pilot study (68 citations)
  • Executive summary for the 2015 Annual Data Report of the China Kidney Disease Network (CK-NET) (33 citations)

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

  • Gene
  • Cancer
  • Artificial intelligence

His primary areas of study are Computational biology, Proteomics, Breast cancer, Kidney disease and Internal medicine. His Computational biology study incorporates themes from Deconvolution, Cell signaling, Gene and Living systems. Yue Wang combines subjects such as Coronary artery disease, Anterior Descending Coronary Artery, Fatty streak and Autopsy with his study of Proteomics.

The study incorporates disciplines such as Genomics, Magnetic resonance imaging, Metastasis, Genetic heterogeneity and Survival analysis in addition to Breast cancer. His Internal medicine research is multidisciplinary, incorporating perspectives in Gastroenterology and Viremia. Yue Wang works mostly in the field of Gastroenterology, limiting it down to topics relating to Pneumonia and, in certain cases, Lymphocyte and Neutralizing antibody.

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

Effectiveness of convalescent plasma therapy in severe COVID-19 patients.

Kai Duan;Bende Liu;Cesheng Li;Huajun Zhang.
Proceedings of the National Academy of Sciences of the United States of America (2020)

1910 Citations

Proteogenomic characterization of human colon and rectal cancer

Bing Zhang;Jing Wang;Xiaojing Wang;Jing Zhu.
Nature (2014)

1188 Citations

Copy number analysis indicates monoclonal origin of lethal metastatic prostate cancer

Wennuan Liu;Sari Laitinen;Sofia Khan;Mauno Vihinen.
Nature Medicine (2009)

698 Citations

Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer

Hui Zhang;Tao Liu;Zhen Zhang;Samuel H. Payne.
Cell (2016)

695 Citations

The properties of high-dimensional data spaces: implications for exploring gene and protein expression data

Robert Clarke;Habtom W. Ressom;Antai Wang;Jianhua Xuan.
Nature Reviews Cancer (2008)

595 Citations

Antiestrogen resistance in breast cancer and the role of estrogen receptor signaling

Robert Clarke;Minetta C Liu;Kerrie B Bouker;Zhiping Gu.
Oncogene (2003)

588 Citations

Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities.

Suhas Vasaikar;Chen Huang;Xiaojing Wang;Vladislav A. Petyuk.
Cell (2019)

339 Citations

Nuclear envelope dystrophies show a transcriptional fingerprint suggesting disruption of Rb–MyoD pathways in muscle regeneration

Marina Bakay;Zuyi Wang;Zuyi Wang;Gisela Melcon;Louis Schiltz.
Brain (2006)

327 Citations

Galectin-1 Deactivates Classically-Activated Microglia and Protects from Inflammation-Induced Neurodegeneration

Sarah C. Starossom;Ivan D. Mascanfroni;Jaime Imitola;Li Cao;Li Cao.
Immunity (2012)

316 Citations

Identification of Molecular Pathway Aberrations in Uterine Serous Carcinoma by Genome-wide Analyses

Elisabetta Kuhn;Ren Chin Wu;Ren Chin Wu;Bin Guan;Gang Wu.
Journal of the National Cancer Institute (2012)

243 Citations

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