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 81 Citations 72,545 196 World Ranking 11148 National Ranking 397

Overview

What is he best known for?

The fields of study he is best known for:

  • Cancer
  • Gene
  • Internal medicine

Marc J. van de Vijver spends much of his time researching Breast cancer, Cancer, Cancer research, Pathology and Internal medicine. His Breast cancer research is under the purview of Genetics. The Capecitabine research he does as part of his general Cancer study is frequently linked to other disciplines of science, such as Cytopathology, therefore creating a link between diverse domains of science.

Marc J. van de Vijver has included themes like Progesterone receptor, PI3K/AKT/mTOR pathway, PTEN and Metastasis in his Cancer research study. Disease is closely connected to Oncology in his research, which is encompassed under the umbrella topic of Internal medicine. His MammaPrint research incorporates elements of Surgery, Proportional hazards model and Oncotype DX Breast Cancer Assay.

His most cited work include:

  • Gene expression profiling predicts clinical outcome of breast cancer (8278 citations)
  • A Gene-Expression Signature as a Predictor of Survival in Breast Cancer (5547 citations)
  • American society of clinical oncology/college of american pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer (3788 citations)

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

His primary scientific interests are in Breast cancer, Internal medicine, Oncology, Cancer and Pathology. His work deals with themes such as Cancer research, Carcinoma and Gene expression profiling, which intersect with Breast cancer. His research brings together the fields of Surgery and Internal medicine.

The various areas that he examines in his Oncology study include Case-control study, Lymph node, Proportional hazards model, Primary tumor and Risk factor. Metastasis and MammaPrint are subfields of Cancer in which his conducts study. Marc J. van de Vijver has researched Pathology in several fields, including Trastuzumab and Mammary gland.

He most often published in these fields:

  • Breast cancer (65.53%)
  • Internal medicine (46.60%)
  • Oncology (35.92%)

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

  • Internal medicine (46.60%)
  • Breast cancer (65.53%)
  • Gastroenterology (5.83%)

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

Marc J. van de Vijver mainly investigates Internal medicine, Breast cancer, Gastroenterology, Histopathology and Pancreatic ductal adenocarcinoma. Internal medicine and Oncology are frequently intertwined in his study. His Breast cancer research incorporates themes from Sentence, Exon and Somatic cell.

His Gastroenterology research includes elements of Circulating tumor DNA, Immunostaining, Digital polymerase chain reaction, Hazard ratio and Tissue microarray. His Histopathology study integrates concerns from other disciplines, such as Immunohistochemistry, Staining, Predictive testing, PD-L1 and Lung cancer. His Pancreatic ductal adenocarcinoma study combines topics in areas such as KRAS, Mesenchymal stem cell and Confidence interval.

Between 2018 and 2021, his most popular works were:

  • Pan-cancer analysis of whole genomes (538 citations)
  • The circular RNome of primary breast cancer (33 citations)
  • Partially methylated domains are hypervariable in breast cancer and fuel widespread CpG island hypermethylation (14 citations)

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

  • Cancer
  • Gene
  • Internal medicine

Marc J. van de Vijver focuses on Pancreatic ductal adenocarcinoma, Genome, Computational biology, Gene and Mesenchymal stem cell. His study on Pancreatic ductal adenocarcinoma is covered under Internal medicine. His biological study spans a wide range of topics, including Epigenomics, DNA methylation, Germline mutation and Methylation.

His Computational biology study incorporates themes from Transcript analysis, Cell, Invasive growth, Tumor growth and Concordance. His research on Gene often connects related areas such as Breast cancer. His Breast cancer study frequently involves adjacent topics like Cancer research.

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

Gene expression profiling predicts clinical outcome of breast cancer

Laura J. van 't Veer;Hongyue Dai;Marc J. van de Vijver;Yudong D. He.
Nature (2002)

11255 Citations

A Gene-Expression Signature as a Predictor of Survival in Breast Cancer

Marc J. van de Vijver;Yudong D. He;Laura J. van 't Veer;Hongyue Dai.
The New England Journal of Medicine (2002)

7499 Citations

American society of clinical oncology/college of american pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer

Antonio C. Wolff;M. Elizabeth H. Hammond;Jared N. Schwartz;Karen L. Hagerty.
Journal of Clinical Oncology (2006)

5540 Citations

Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis

Rajnish A. Gupta;Nilay R. Shah;Kevin C. Wang;Jeewon Kim.
Nature (2010)

5274 Citations

American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer.

Antonio C. Wolff;M. Elizabeth H. Hammond;Jared N. Schwartz;Karen L. Hagerty.
Archives of Pathology & Laboratory Medicine (2007)

4890 Citations

WHO classification of tumours of the breast

Sunil R. Lakhani;Ian O. Ellis;Stuart J. Schnitt;Puay Hoon Tan.
(2012)

2402 Citations

Gene Expression Profiling in Breast Cancer: Understanding the Molecular Basis of Histologic Grade To Improve Prognosis

Christos Sotiriou;Pratyaksha Wirapati;Sherene Loi;Adrian Harris.
Journal of the National Cancer Institute (2006)

2151 Citations

International network of cancer genome projects

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

1839 Citations

Genes that mediate breast cancer metastasis to the brain

Paula D. Bos;Xiang H.-F. Zhang;Cristina Nadal;Weiping Shu.
Nature (2009)

1829 Citations

A functional genetic approach identifies the PI3K pathway as a major determinant of trastuzumab resistance in breast cancer.

Katrien Berns;Hugo M. Horlings;Bryan T. Hennessy;Mandy Madiredjo.
Cancer Cell (2007)

1769 Citations

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