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 78 Citations 39,814 233 World Ranking 10424 National Ranking 153

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Cancer
  • Internal medicine

Mauro Delorenzi spends much of his time researching Gene expression profiling, Internal medicine, Oncology, Breast cancer and Gene. The various areas that he examines in his Gene expression profiling study include Phenotype, Caudate nucleus and Computational biology. His Oncology research incorporates elements of Microsatellite instability, Pathology, Hazard ratio, Colorectal cancer and Survival analysis.

His Colorectal cancer research is multidisciplinary, incorporating perspectives in Wild type, Mutation rate and Bioinformatics. His Breast cancer study is concerned with the larger field of Cancer. Cancer is often connected to Cancer research in his work.

His most cited work include:

  • The consensus molecular subtypes of colorectal cancer (1870 citations)
  • The consensus molecular subtypes of colorectal cancer (1870 citations)
  • Effects of KRAS, BRAF, NRAS, and PIK3CA mutations on the efficacy of cetuximab plus chemotherapy in chemotherapy-refractory metastatic colorectal cancer: a retrospective consortium analysis (1560 citations)

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

Mauro Delorenzi mainly focuses on Cancer research, Internal medicine, Oncology, Colorectal cancer and Gene expression profiling. Mauro Delorenzi focuses mostly in the field of Cancer research, narrowing it down to topics relating to T cell and, in certain cases, Cytotoxic T cell. His Internal medicine study frequently links to related topics such as Pathology.

His Oncology study combines topics from a wide range of disciplines, such as Biomarker, Survival analysis, Gene signature and Proportional hazards model. His Colorectal cancer research incorporates themes from Stage, Microsatellite instability and Bioinformatics. His Gene expression profiling research integrates issues from Microarray, DNA microarray, Microarray analysis techniques and Genome.

He most often published in these fields:

  • Cancer research (55.08%)
  • Internal medicine (37.43%)
  • Oncology (31.82%)

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

  • Cancer research (55.08%)
  • Colorectal cancer (36.90%)
  • Internal medicine (37.43%)

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

Mauro Delorenzi mostly deals with Cancer research, Colorectal cancer, Internal medicine, Breast cancer and Metastasis. His Cancer research research includes themes of Cancer cell, Transcriptome and Primary tumor. His Colorectal cancer study results in a more complete grasp of Cancer.

His research on Internal medicine often connects related topics like Oncology. Mauro Delorenzi works mostly in the field of Oncology, limiting it down to topics relating to Gene expression and, in certain cases, CTL Analysis, Cell and Computational biology. His studies in Breast cancer integrate themes in fields like Gene silencing, microRNA and Chemotherapy.

Between 2017 and 2021, his most popular works were:

  • TOX reinforces the phenotype and longevity of exhausted T cells in chronic viral infection. (199 citations)
  • TOX reinforces the phenotype and longevity of exhausted T cells in chronic viral infection. (199 citations)
  • Cooperation between Constitutive and Inducible Chemokines Enables T Cell Engraftment and Immune Attack in Solid Tumors (102 citations)

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

  • Gene
  • Cancer
  • DNA

Cancer research, Metastasis, Myeloid, T cell and Immunotherapy are his primary areas of study. His work deals with themes such as Head and neck squamous-cell carcinoma, Head and neck cancer, Chemotherapy, Cancer cell and Hippo signaling pathway, which intersect with Cancer research. His Metastasis study integrates concerns from other disciplines, such as Tumor-infiltrating lymphocytes, Doxorubicin, Adjuvant and Epirubicin, Breast cancer.

His Myeloid study combines topics in areas such as Colorectal cancer, Matrix metalloproteinase, Metalloproteinase and PD-L1. The study incorporates disciplines such as Methylation, Progression-free survival and Oncology in addition to DNA methylation. His Internal medicine research includes elements of Glioma and CpG site.

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 consensus molecular subtypes of colorectal cancer

Justin Guinney;Rodrigo Dienstmann;Rodrigo Dienstmann;Xingwu Wang;Xingwu Wang;Aurélien De Reyniès.
Nature Medicine (2015)

2439 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)

1952 Citations

Effects of KRAS, BRAF, NRAS, and PIK3CA mutations on the efficacy of cetuximab plus chemotherapy in chemotherapy-refractory metastatic colorectal cancer: a retrospective consortium analysis

Wendy De Roock;Bart Claes;David Bernasconi;Jef De Schutter.
Lancet Oncology (2010)

1560 Citations

Validation and Clinical Utility of a 70-Gene Prognostic Signature for Women With Node-Negative Breast Cancer

Marc Buyse;Sherene Loi;Laura van't Veer;Giuseppe Viale.
Journal of the National Cancer Institute (2006)

1373 Citations

70-Gene Signature as an Aid to Treatment Decisions in Early-Stage Breast Cancer

Fatima Cardoso;Laura J. van’t Veer;Jan Bogaerts;Leen Slaets.
The New England Journal of Medicine (2016)

1128 Citations

Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series,

Christine Desmedt;Fanny Piette;Sherene Loi;Yixin Wang.
Clinical Cancer Research (2007)

1021 Citations

Identification of molecular apocrine breast tumours by microarray analysis

Pierre Farmer;Herve Bonnefoi;Véronique Becette;Michele Tubiana-Hulin.
Oncogene (2005)

922 Citations

Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures

Pratyaksha Wirapati;Christos Sotiriou;Susanne Kunkel;Pierre Farmer.
Breast Cancer Research (2008)

911 Citations

A comparison of methods for differential expression analysis of RNA-seq data

Charlotte Soneson;Mauro Delorenzi;Mauro Delorenzi.
BMC Bioinformatics (2013)

874 Citations

Definition of Clinically Distinct Molecular Subtypes in Estrogen Receptor–Positive Breast Carcinomas Through Genomic Grade

Sherene Loi;Benjamin Haibe-Kains;Christine Desmedt;Françoise Lallemand.
Journal of Clinical Oncology (2007)

873 Citations

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