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 62 Citations 26,157 175 World Ranking 4689 National Ranking 2303

Research.com Recognitions

Awards & Achievements

2015 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Cancer
  • DNA

Her scientific interests lie mostly in Gene expression profiling, Cancer research, Genetics, Gene regulatory network and Regulation of gene expression. Her biological study spans a wide range of topics, including Phenotype, Molecular biology and T cell. Her Cancer research research is multidisciplinary, relying on both Cancer, Cell, Cell cycle, Immunology and PTEN.

Her studies in Gene regulatory network integrate themes in fields like Network topology, Algorithm, Bayesian network and Mutual information. Her work investigates the relationship between Network topology and topics such as DNA microarray that intersect with problems in Proteomics and Genomics. Regulation of gene expression is a subfield of Gene that Andrea Califano tackles.

Her most cited work include:

  • Prediction of central nervous system embryonal tumour outcome based on gene expression (2046 citations)
  • ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context (1983 citations)
  • ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context (1490 citations)

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

Her primary scientific interests are in Cancer research, Computational biology, Genetics, Cancer and Gene. Her study on Cancer research also encompasses disciplines like

  • Prostate cancer together with Prostate,
  • Gene expression profiling which intersects with area such as Molecular biology. Her studies in Computational biology integrate themes in fields like Genomics, Transcription factor, Bioinformatics and Gene regulatory network.

Her Transcription factor study integrates concerns from other disciplines, such as Interactome and Cell biology. Her study in Genome, Phenotype and Regulation of gene expression falls within the category of Genetics. Andrea Califano works on Gene which deals in particular with Gene expression.

She most often published in these fields:

  • Cancer research (29.78%)
  • Computational biology (25.06%)
  • Genetics (17.12%)

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

  • Cancer research (29.78%)
  • Computational biology (25.06%)
  • Cell (5.96%)

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

Andrea Califano focuses on Cancer research, Computational biology, Cell, Cancer and Drug. Her Cancer research research focuses on Tumor microenvironment in particular. Her research integrates issues of Proteome, Lineage markers and Gene expression, Gene regulatory network in her study of Computational biology.

Andrea Califano has included themes like SNP, Single-nucleotide polymorphism, CTCF, Transcription factor and Penetrance in her Gene regulatory network study. The Reprogramming research Andrea Califano does as part of her general Cell study is frequently linked to other disciplines of science, such as Context, therefore creating a link between diverse domains of science. The Cancer study combines topics in areas such as PI3K/AKT/mTOR pathway, Transformation and Master regulator.

Between 2018 and 2021, her most popular works were:

  • Cross-Species Single-Cell Analysis of Pancreatic Ductal Adenocarcinoma Reveals Antigen-Presenting Cancer-Associated Fibroblasts (249 citations)
  • Experimental microdissection enables functional harmonisation of pancreatic cancer subtypes (63 citations)
  • Resistance to neoadjuvant chemotherapy in triple-negative breast cancer mediated by a reversible drug-tolerant state (54 citations)

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

  • Gene
  • Cancer
  • DNA

Andrea Califano mostly deals with Computational biology, Cancer, Cell, Cancer research and Gene expression. Her Computational biology research includes themes of Proteome, Transcriptome, Proteomics, Computational model and Drug. The study incorporates disciplines such as Identity, Genome and Somatic cell in addition to Cancer.

Her study in Cell is interdisciplinary in nature, drawing from both Process, Cell biology, Phenotypic switching and Adenocarcinoma. Andrea Califano is involved in the study of Cancer research that focuses on Tumor microenvironment in particular. Her Gene expression research is multidisciplinary, relying on both KRAS, Crosstalk, Stromal cell and Effector.

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

Prediction of central nervous system embryonal tumour outcome based on gene expression

Scott L. Pomeroy;Pablo Tamayo;Michelle Gaasenbeek;Lisa M. Sturla.
Nature (2002)

2811 Citations

ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context

Adam A. Margolin;Ilya Nemenman;Katia Basso;Chris H. Wiggins.
BMC Bioinformatics (2006)

2542 Citations

ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context

Adam A. Margolin;Ilya Nemenman;Katia Basso;Ulf Klein.
arXiv: Molecular Networks (2004)

2453 Citations

Reverse engineering of regulatory networks in human B cells.

Katia Basso;Adam A Margolin;Gustavo Stolovitzky;Ulf Klein.
Nature Genetics (2005)

1502 Citations

The Immune Landscape of Cancer

Vésteinn Thorsson;David L Gibbs;Scott D Brown;Denise Wolf.
Immunity (2018)

1335 Citations

A promoter-level mammalian expression atlas

Alistair R.R. Forrest;Hideya Kawaji;Michael Rehli;J. Kenneth Baillie.
Nature (2014)

1134 Citations

Gene Expression Profiling of B Cell Chronic Lymphocytic Leukemia Reveals a Homogeneous Phenotype Related to Memory B Cells

Ulf Klein;Yuhai Tu;Gustavo A. Stolovitzky;Michela Mattioli.
Journal of Experimental Medicine (2001)

1126 Citations

The transcriptional network for mesenchymal transformation of brain tumours

Maria Stella Carro;Wei Keat Lim;Mariano Javier Alvarez;Robert J. Bollo.
Nature (2010)

1099 Citations

Mutations of multiple genes cause deregulation of NF-κB in diffuse large B-cell lymphoma

Mara Compagno;Wei Keat Lim;Adina Grunn;Subhadra V. Nandula.
Nature (2009)

1081 Citations

NOTCH1 directly regulates c-MYC and activates a feed-forward-loop transcriptional network promoting leukemic cell growth

Teresa Palomero;Wei Keat Lim;Duncan T. Odom;Maria Luisa Sulis.
Proceedings of the National Academy of Sciences of the United States of America (2006)

874 Citations

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