D-Index & Metrics Best Publications

D-Index & Metrics

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 83 Citations 34,851 655 World Ranking 8168 National Ranking 4451

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Internal medicine
  • Cancer

His primary scientific interests are in Cancer research, Internal medicine, Cell biology, Genetics and Gene. His research in Cancer research intersects with topics in Cancer, Mutation, Immunology, microRNA and Lung cancer. He has included themes like Epithelial–mesenchymal transition, Targeted therapy and KRAS in his Lung cancer study.

His Internal medicine study incorporates themes from Placebo, Endocrinology and Oncology. His studies in Cell biology integrate themes in fields like Cell cycle, Ubiquitin ligase and Transplantation. DNA methylation, Oncogene and Proteomics are the subjects of his Gene studies.

His most cited work include:

  • Comprehensive molecular profiling of lung adenocarcinoma: The cancer genome atlas research network (2762 citations)
  • Synthesis of Large Arrays of Well-Aligned Carbon Nanotubes on Glass (2246 citations)
  • WEGO: a web tool for plotting GO annotations (2126 citations)

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

His primary areas of study are Cancer research, Internal medicine, Cancer, Artificial intelligence and Lung cancer. His Cancer research research is multidisciplinary, incorporating elements of Cell growth, Immune system, Immunology, PI3K/AKT/mTOR pathway and Adenocarcinoma. His biological study spans a wide range of topics, including Endocrinology, Oncology and Cardiology.

Cancer is closely attributed to Pathology in his study. His Artificial intelligence research includes themes of Computer vision and Pattern recognition. His research in Iterative reconstruction tackles topics such as Imaging phantom which are related to areas like Cone beam computed tomography.

He most often published in these fields:

  • Cancer research (24.24%)
  • Internal medicine (15.88%)
  • Cancer (12.57%)

What were the highlights of his more recent work (between 2019-2021)?

  • Cancer research (24.24%)
  • Internal medicine (15.88%)
  • Cancer (12.57%)

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

Jing Wang focuses on Cancer research, Internal medicine, Cancer, Oncology and Lung cancer. His Cancer research study also includes

  • Immune system which connect with Cytotoxic T cell,
  • Downregulation and upregulation that intertwine with fields like Melanoma. His study in Internal medicine is interdisciplinary in nature, drawing from both Gastroenterology and Endocrinology.

All of his Cancer and Breast cancer and KRAS investigations are sub-components of the entire Cancer study. His study focuses on the intersection of Oncology and fields such as Avelumab with connections in the field of Axitinib, Sunitinib and Renal cell carcinoma. His Lung cancer study frequently links to related topics such as Metastasis.

Between 2019 and 2021, his most popular works were:

  • Avelumab Maintenance Therapy for Advanced or Metastatic Urothelial Carcinoma (75 citations)
  • A Peptide-Based Magnetic Chemiluminescence Enzyme Immunoassay for Serological Diagnosis of Coronavirus Disease 2019. (72 citations)
  • Loss of p53 drives neuron reprogramming in head and neck cancer (55 citations)

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

  • Gene
  • Internal medicine
  • Cancer

Jing Wang mostly deals with Cancer research, Internal medicine, Oncology, Lung cancer and Artificial intelligence. His Cancer research study integrates concerns from other disciplines, such as Epithelial–mesenchymal transition, Downregulation and upregulation and Cancer, Immune system, Immunotherapy. Jing Wang interconnects Microarray, Microarray analysis techniques and Gene duplication, Gene in the investigation of issues within Cancer.

His study in the fields of Ruxolitinib under the domain of Internal medicine overlaps with other disciplines such as Active control. His Lung cancer research includes elements of Immunohistochemistry, Targeted therapy and Metastasis. The concepts of his Artificial intelligence study are interwoven with issues in Receiver operating characteristic and Pattern recognition.

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

Comprehensive molecular profiling of lung adenocarcinoma: The cancer genome atlas research network

Eric A. Collisson;Joshua D. Campbell;Angela N. Brooks;Angela N. Brooks;Alice H. Berger.
Nature (2014)

3773 Citations

Synthesis of Large Arrays of Well-Aligned Carbon Nanotubes on Glass

Z. F. Ren;Z. P. Huang;J. W. Xu;J. H. Wang.
Science (1998)

3504 Citations

WEGO: a web tool for plotting GO annotations

Jia Ye;Lin Fang;Hongkun Zheng;Yong Zhang.
Nucleic Acids Research (2006)

2448 Citations

Exome sequencing of head and neck squamous cell carcinoma reveals inactivating mutations in NOTCH1

Nishant Agrawal;Mitchell J. Frederick;Curtis R. Pickering;Chetan Bettegowda.
Science (2011)

1684 Citations

Comprehensive genomic characterization of head and neck squamous cell carcinomas

Michael S. Lawrence;Carrie Sougnez;Lee Lichtenstein;Kristian Cibulskis.
Nature (2015)

1579 Citations

WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013

Jing Wang;Dexter T. Duncan;Zhiao Shi;Bing Zhang.
Nucleic Acids Research (2013)

1451 Citations

Self-Monitoring in Weight Loss: A Systematic Review of the Literature

Lora E. Burke;Jing Wang;Mary Ann Sevick;Mary Ann Sevick.
Journal of The American Dietetic Association (2011)

1223 Citations

Proteogenomics connects somatic mutations to signalling in breast cancer

Philipp Mertins;D. R. Mani;Kelly V. Ruggles;Michael A. Gillette;Michael A. Gillette.
Nature (2016)

937 Citations

Avelumab plus Axitinib versus Sunitinib for Advanced Renal-Cell Carcinoma

Robert J. Motzer;Konstantin Penkov;John Haanen;Brian Rini.
The New England Journal of Medicine (2019)

914 Citations

An Epithelial–Mesenchymal Transition Gene Signature Predicts Resistance to EGFR and PI3K Inhibitors and Identifies Axl as a Therapeutic Target for Overcoming EGFR Inhibitor Resistance

Lauren Averett Byers;Lixia Diao;Jing Wang;Pierre Saintigny.
Clinical Cancer Research (2013)

906 Citations

Best Scientists Citing Jing Wang

Gordon B. Mills

Gordon B. Mills

Oregon Health & Science University

Publications: 95

John V. Heymach

John V. Heymach

The University of Texas MD Anderson Cancer Center

Publications: 87

Ignacio I. Wistuba

Ignacio I. Wistuba

The University of Texas MD Anderson Cancer Center

Publications: 86

Matthew Meyerson

Matthew Meyerson

Harvard University

Publications: 75

Jianhua Ma

Jianhua Ma

Hosei University

Publications: 73

John D. Minna

John D. Minna

The University of Texas Southwestern Medical Center

Publications: 66

Jennifer R. Grandis

Jennifer R. Grandis

University of California, San Francisco

Publications: 66

Charles M. Rudin

Charles M. Rudin

Memorial Sloan Kettering Cancer Center

Publications: 65

Joseph A. Califano

Joseph A. Califano

University of California, San Diego

Publications: 65

Ruedi Aebersold

Ruedi Aebersold

ETH Zurich

Publications: 62

Gad Getz

Gad Getz

Broad Institute

Publications: 57

Ming-Sound Tsao

Ming-Sound Tsao

Princess Margaret Cancer Centre

Publications: 54

Zhengrong Liang

Zhengrong Liang

Stony Brook University

Publications: 54

Chad J. Creighton

Chad J. Creighton

Baylor College of Medicine

Publications: 54

Hui Kuan Lin

Hui Kuan Lin

Wake Forest University

Publications: 52

Andrew D. Cherniack

Andrew D. Cherniack

Harvard University

Publications: 52

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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