H. Horlings

Molecular Biology · 2009–2011

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Horlings trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Scott Valastyan
  2. Yixin Wang
  3. C. Hudis
  4. M. J. van de Vijver
  5. Jun Lu
  6. George A. Calin
  7. T. Farazi
  8. Pablo Landgraf
  9. Yudong He
  10. A. Ventura

Who trusts H. Horlings overall

  1. N. Hynes
  2. Gwen Macdonald
  3. J. Engelman
  4. Carlos L. Arteaga
  5. R. Nahta

Papers from H. Horlings's perspective

Ordered by how strongly the researchers H. Horlings trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Molecular portraits of human breast tumours (Nature)
  2. Repeated observation of breast tumor subtypes in independent gene expression data sets (Proceedings of the National Academy of Sciences of the United States of America)
  3. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. (New England Journal of Medicine)
  4. The PIK3CA gene is mutated with high frequency in human breast cancers (Cancer Biology & Therapy)
  5. A gene-expression signature as a predictor of survival in breast cancer. (New England Journal of Medicine)
  6. Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2. (New England Journal of Medicine)
  7. A microRNA expression signature of human solid tumors defines cancer gene targets (Proceedings of the National Academy of Sciences of the United States of America)
  8. Human microRNA genes are frequently located at fragile sites and genomic regions involved in cancers. (Proceedings of the National Academy of Sciences of the United States of America)
  9. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications (Proceedings of the National Academy of Sciences of the United States of America)
  10. MicroRNA expression profiles classify human cancers (Nature)

Their papers