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Molecular Biology

D-Index
82
Citations
31264
World Ranking
923
National Ranking
28

Benjamin Haibe-Kains publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Benjamin Haibe-Kains sits on this spectrum.

47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47 publications 564+

This scientist: 638 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

Benjamin Haibe-Kains D-index placement in Molecular Biology in 2026

The chart shows the D-index (discipline H-index) distribution of Molecular Biology scientists ranked by Research.com in 2026. The highlighted bar marks where Benjamin Haibe-Kains sits on this spectrum.

40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40 D-Index 145+

This scientist: 82 D-Index — 70th percentile

70% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

Overview

Benjamin Haibe-Kains is affiliated with the Princess Margaret Cancer Centre in Canada. Their research primarily focuses on medicine with significant contributions in molecular biology, radiology, nuclear medicine and imaging, cancer research, oncology, and pulmonary and respiratory medicine.

The scientist's recent publications highlight a wide range of topics in cancer research and computational methods. These include:

  • Transcription phenotypes of pancreatic cancer are driven by genomic events during tumor evolution, 2020, Nature Genetics
  • Proteogenomic characterization of pancreatic ductal adenocarcinoma, 2021, Cell
  • Transparency and reproducibility in artificial intelligence, 2020, Nature
  • Colorectal Cancer Cells Enter a Diapause-like DTP State to Survive Chemotherapy, 2021, Cell
  • Machine learning approaches to drug response prediction: challenges and recent progress, 2020, npj Precision Oncology

The main research topics associated with Benjamin Haibe-Kains include:

  • Radiomics and Machine Learning in Medical Imaging
  • Cancer Genomics and Diagnostics
  • Gene expression and cancer classification
  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Head and Neck Cancer Studies
  • AI in cancer detection

They frequently publish in journals and venues such as:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Clinical Cancer Research
  • Radiotherapy and Oncology

Benjamin Haibe-Kains has collaborated extensively, working most often with the following co-authors:

  • Petr Smirnov
  • Christopher Eeles
  • Sisira Kadambat Nair
  • Scott V. Bratman
  • Denis Tkachuk

Best Publications

  • Similarity network fusion for aggregating data types on a genomic scale

    Bo Wang;Aziz M Mezlini;Feyyaz Demir;Marc Fiume

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

    Sherene Loi;Benjamin Haibe-Kains;Christine Desmedt;Françoise Lallemand

  • Inconsistency in large pharmacogenomic studies

    Benjamin Haibe-Kains;Nehme El-Hachem;Nicolai Juul Birkbak;Andrew C. Jin

  • Transcription phenotypes of pancreatic cancer are driven by genomic events during tumor evolution

    Michelle Chan-Seng-Yue;Michelle Chan-Seng-Yue;Jaeseung C Kim;Jaeseung C Kim;Gavin W Wilson;Karen Ng

  • Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen.

    Sherene Loi;Benjamin Haibe-Kains;Christine Desmedt;Pratyaksha Wirapati

  • survcomp: an R/Bioconductor package for performance assessment and comparison of survival models

    Markus S. Schröder;Aedín C. Culhane;John Quackenbush;Benjamin Haibe-Kains

  • Elucidating Prognosis and Biology of Breast Cancer Arising in Young Women Using Gene Expression Profiling

    Hatem A. Azim;Stefan Michiels;Philippe L. Bedard;Sandeep K. Singhal

  • PIK3CA mutations associated with gene signature of low mTORC1 signaling and better outcomes in estrogen receptor–positive breast cancer

    Sherene Loi;Sherene Loi;Sherene Loi;Benjamin Haibe-Kains;Samira Majjaj;Francoise Lallemand

  • microRNA-29c and microRNA-223 down-regulation has in vivo significance in chronic lymphocytic leukemia and improves disease risk stratification

    Basile Stamatopoulos;Nathalie Meuleman;Benjamin Haibe-Kains;Pascale Saussoy

  • A Three-Gene Model to Robustly Identify Breast Cancer Molecular Subtypes

    Benjamin Haibe-Kains;Christine Desmedt;Sherene Loi;Aedin C. Culhane

  • Proteogenomic characterization of pancreatic ductal adenocarcinoma

    Liwei Cao;Chen Huang;Daniel Cui Zhou;Yingwei Hu

  • Spatially distinct tumor immune microenvironments stratify triple-negative breast cancers

    Tina Gruosso;Mathieu Gigoux;Venkata Satya Kumar Manem;Venkata Satya Kumar Manem;Nicholas Bertos

  • Colorectal Cancer Cells Enter a Diapause-like DTP State to Survive Chemotherapy

    Sumaiyah K. Rehman;Jennifer Haynes;Evelyne Collignon;Kevin R. Brown

  • Defining the biological basis of radiomic phenotypes in lung cancer

    Patrick Grossmann;Patrick Grossmann;Olya Stringfield;Nehme El-Hachem;Marilyn M Bui

  • Genefu: an R/Bioconductor package for computation of gene expression-based signatures in breast cancer.

    Deena M. A. Gendoo;Deena M. A. Gendoo;Natchar Ratanasirigulchai;Markus S. Schröder;Laia Paré

  • A comparative study of survival models for breast cancer prognostication based on microarray data

    B. Haibe-Kains;C. Desmedt;C. Sotiriou;G. Bontempi

  • A review of connectivity map and computational approaches in pharmacogenomics.

    Aliyu Musa;Laleh Soltan Ghoraie;Shu-Dong Zhang;Galina V. Glazko

  • Global microRNA expression profiling identifies MiR-210 associated with tumor proliferation, invasion and poor clinical outcome in breast cancer.

    Françoise Rothé;Michail Ignatiadis;Carole Chaboteaux;Benjamin Haibe-Kains

  • Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

    Hugo J.W.L. Aerts;Emmanuel Rios Velazquez;Ralph T.H. Leijenaar;Chintan Parmar

  • Transparency and reproducibility in artificial intelligence.

    Benjamin Haibe-Kains;George Alexandru Adam;Ahmed Hosny;Farnoosh Khodakarami;Farnoosh Khodakarami

Frequent Co-Authors

Christos Sotiriou
Christos Sotiriou Université Libre de Bruxelles
Sherene Loi
Sherene Loi Peter MacCallum Cancer Centre
Mathieu Lupien
Mathieu Lupien Princess Margaret Cancer Centre
John Quackenbush
John Quackenbush Harvard University
Gianluca Bontempi
Gianluca Bontempi Université Libre de Bruxelles
Trevor J. Pugh
Trevor J. Pugh Princess Margaret Cancer Centre
Martine Piccart
Martine Piccart Université Libre de Bruxelles
Denis Larsimont
Denis Larsimont Université Libre de Bruxelles
Hugo J.W.L. Aerts
Hugo J.W.L. Aerts Brigham and Women's Hospital
Stefan Michiels
Stefan Michiels University of Paris-Saclay

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