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Benjamin Haibe-Kains

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Molecular Biology 82 923 819 28 23 638 31264

Benjamin Haibe-Kains publications per year

The chart shows the history of publications by Benjamin Haibe-Kains between 2003 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Benjamin Haibe-Kains published across 24 years, from 2003 to 2026, averaging 48.5 papers a year. Output peaked at 262 publications in 2023. 94 of the 1,164 publications appeared in the last two years.

No. of publications
50 100 150 200 250
Bar chart. Horizontal axis: year, 2003 to 2026. Vertical axis: number of publications, 0 to 262. Peak 262 publications in 2023. 2003: 1 publication 2004: 1 publication 2005: 11 publications 2006: 9 publications 2007: 20 publications 2008: 24 publications 2009: 29 publications 2010: 18 publications 2011: 31 publications 2012: 16 publications 2013: 21 publications 2014: 20 publications 2015: 25 publications 2016: 25 publications 2017: 39 publications 2018: 37 publications 2019: 48 publications 2020: 158 publications 2021: 93 publications 2022: 108 publications 2023: 262 publications 2024: 74 publications 2025: 93 publications 2026: 1 publication
2003 2026

1,164 publications in total across all disciplines

View publications per year as a table
Benjamin Haibe-Kains: publications per year, 2003 to 2026
Year Publications
2003 1
2004 1
2005 11
2006 9
2007 20
2008 24
2009 29
2010 18
2011 31
2012 16
2013 21
2014 20
2015 25
2016 25
2017 39
2018 37
2019 48
2020 158
2021 93
2022 108
2023 262
2024 74
2025 93
2026 1
Total 1,164
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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.

No. of scientists
50 100 150
Bar chart with 53 bars. Horizontal axis: publications, 47–56 to 564+. Vertical axis: number of scientists, 0 to 177. Most scientists, 177, have 117–126 publications. The last bar groups every scientist with 564 publications or more. The highlighted bar, 564+ publications, is where this scientist sits. 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
47–56 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.

View publications distribution as a table
Number of Molecular Biology scientists by publication count, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
Publications Scientists This scientist
47–56 7
57–66 17
67–76 65
77–86 90
87–96 125
97–106 131
107–116 162
117–126 177
127–136 158
137–146 158
147–156 146
157–166 159
167–176 131
177–186 110
187–196 112
197–206 100
207–216 89
217–226 98
227–236 74
237–246 72
247–256 63
257–266 53
267–276 54
277–286 49
287–296 52
297–306 43
307–316 46
317–326 41
327–336 42
337–346 31
347–356 28
357–366 29
367–376 26
377–386 24
387–396 24
397–406 14
407–416 13
417–426 20
427–436 12
437–446 20
447–456 11
457–466 10
467–476 14
477–486 14
487–496 10
497–506 13
507–516 13
517–526 2
527–536 4
537–546 6
547–556 8
557–563 6
564+ 100 638
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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.

No. of scientists
25 50 75 100 125
Bar chart with 54 bars. Horizontal axis: D-Index, 40–41 to 145+. Vertical axis: number of scientists, 0 to 131. Most scientists, 131, have 64–65 D-Index. The last bar groups every scientist with 145 D-Index or more. The highlighted bar, 82–83 D-Index, is where this scientist sits. 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
40–41 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.

View D-Index distribution as a table
Number of Molecular Biology scientists by D-index, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
D-Index Scientists This scientist
40–41 36
42–43 101
44–45 115
46–47 121
48–49 118
50–51 130
52–53 106
54–55 116
56–57 113
58–59 129
60–61 120
62–63 105
64–65 131
66–67 95
68–69 97
70–71 106
72–73 83
74–75 89
76–77 77
78–79 70
80–81 73
82–83 60 82
84–85 48
86–87 45
88–89 50
90–91 31
92–93 51
94–95 43
96–97 38
98–99 39
100–101 41
102–103 29
104–105 33
106–107 35
108–109 20
110–111 38
112–113 19
114–115 28
116–117 13
118–119 23
120–121 16
122–123 15
124–125 11
126–127 21
128–129 7
130–131 13
132–133 14
134–135 17
136–137 9
138–139 8
140–141 16
142–143 7
144 7
145+ 100
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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
Christine Desmedt
Christine Desmedt KU Leuven
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

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Related Online Degrees & Career Pathways

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Best Scientists Citing Benjamin Haibe-Kains

Jie Tian

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Chinese Academy of Sciences

Publications: 128

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Publications: 90

Sherene Loi

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Peter MacCallum Cancer Centre

Publications: 83

Lajos Pusztai

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Yale University

Publications: 81

Hugo J.W.L. Aerts

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Brigham and Women's Hospital

Publications: 77

Jorge S. Reis-Filho

Jorge S. Reis-Filho

Memorial Sloan Kettering Cancer Center

Publications: 72

John Quackenbush

John Quackenbush

Harvard University

Publications: 58

Robert Kiss

Robert Kiss

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Publications: 58

Ian O. Ellis

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University of Nottingham

Publications: 57

Carlos Caldas

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Publications: 56

François Bertucci

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Aix-Marseille University

Publications: 50

Christine Desmedt

Christine Desmedt

KU Leuven

Publications: 48

Jonas Bergh

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Karolinska Institute

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