World's Best Scientists 2026 revealed!
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Aik Choon Tan

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Molecular Biology 68 1513 1356 767 673 609 16987

Aik Choon Tan publications per year

The chart shows the history of publications by Aik Choon Tan between 1991 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Aik Choon Tan published across 36 years, from 1991 to 2026, averaging 34 papers a year. Output peaked at 581 publications in 2023. 93 of the 1,224 publications appeared in the last two years.

No. of publications
100 200 300 400 500
Bar chart. Horizontal axis: year, 1991 to 2026. Vertical axis: number of publications, 0 to 581. Peak 581 publications in 2023. 1991: 2 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 2 publications 1996: 0 publications 1997: 2 publications 1998: 1 publication 1999: 2 publications 2000: 0 publications 2001: 0 publications 2002: 1 publication 2003: 4 publications 2004: 5 publications 2005: 2 publications 2006: 3 publications 2007: 2 publications 2008: 10 publications 2009: 21 publications 2010: 13 publications 2011: 17 publications 2012: 29 publications 2013: 30 publications 2014: 12 publications 2015: 26 publications 2016: 32 publications 2017: 35 publications 2018: 25 publications 2019: 20 publications 2020: 26 publications 2021: 29 publications 2022: 18 publications 2023: 581 publications 2024: 181 publications 2025: 91 publications 2026: 2 publications
1991 2026

1,224 publications in total across all disciplines

View publications per year as a table
Aik Choon Tan: publications per year, 1991 to 2026
Year Publications
1991 2
1992 0
1993 0
1994 0
1995 2
1996 0
1997 2
1998 1
1999 2
2000 0
2001 0
2002 1
2003 4
2004 5
2005 2
2006 3
2007 2
2008 10
2009 21
2010 13
2011 17
2012 29
2013 30
2014 12
2015 26
2016 32
2017 35
2018 25
2019 20
2020 26
2021 29
2022 18
2023 581
2024 181
2025 91
2026 2
Total 1,224
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Aik Choon Tan 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 Aik Choon Tan 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: 609 publications — 97th percentile

97% 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+ 100 609
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Aik Choon Tan 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 Aik Choon Tan 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, 68–69 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: 68 D-Index — 52nd percentile

52% 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 68
70–71 106
72–73 83
74–75 89
76–77 77
78–79 70
80–81 73
82–83 60
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

Aik Choon Tan is affiliated with the University of Utah in the United States. Their research primarily centers on medicine, with specific contributions to biochemistry, genetics, and molecular biology. Within these broad fields, their work extensively covers oncology, molecular biology, cancer research, pulmonary and respiratory medicine, and immunology.

The scientist's research topics include:

  • Cancer Immunotherapy and Biomarkers
  • Cancer Genomics and Diagnostics
  • Immunotherapy and Immune Responses
  • CAR-T cell therapy research
  • Ferroptosis and cancer prognosis
  • Melanoma and MAPK Pathways
  • Protein Degradation and Inhibitors

They have published frequently in the following venues:

  • Cancer Research
  • Journal of Clinical Oncology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Regular and Young Investigator Award Abstracts
  • Molecular Carcinogenesis

Some of their recent papers include:

  • Targeting tumor-derived NLRP3 reduces melanoma progression by limiting MDSCs expansion (2021, Proceedings of the National Academy of Sciences)
  • Resistance to targeted therapies as a multifactorial, gradual adaptation to inhibitor specific selective pressures (2020, Nature Communications)
  • Spontaneous cell fusions as a mechanism of parasexual recombination in tumour cell populations (2021, Nature Ecology & Evolution)
  • Pre-Treatment Mutational and Transcriptomic Landscape of Responding Metastatic Melanoma Patients to Anti-PD1 Immunotherapy (2020, Cancers)
  • MCL1 inhibitors S63845/MIK665 plus Navitoclax synergistically kill difficult-to-treat melanoma cells (2020, Cell Death and Disease)

Frequently collaborating with other researchers, their regular coauthors include:

  • Ahmad A. Tarhini
  • Michelle L. Churchman
  • Martin D. McCarter
  • Sheetal Hardikar
  • José R. Conejo-García

Best Publications

  • Caspase 3-mediated stimulation of tumor cell repopulation during cancer radiotherapy

    Qian Huang;Fang-Fang Li;Xinjian Liu;Wenrong Li

  • DSigDB: drug signatures database for gene set analysis

    Minjae Yoo;Jimin Shin;Jihye Kim;Karen A. Ryall

  • Ensemble machine learning on gene expression data for cancer classification

    Aik Choon Tan;David Gilbert

  • A DNA methylation fingerprint of 1628 human samples

    Augustin F. Fernandez;Yassen Assenov;Jose Ignacio Martin-Subero;Balazs Balint

  • The miR-106b-25 cluster targets Smad7, activates TGF-β signaling, and induces EMT and tumor initiating cell characteristics downstream of Six1 in human breast cancer

    Anna L Smith;Ritsuko Iwanaga;David J Drasin;Douglas S Micalizzi

  • Tumor Engraftment in Nude Mice and Enrichment in Stroma- Related Gene Pathways Predict Poor Survival and Resistance to Gemcitabine in Patients with Pancreatic Cancer

    Ignacio Garrido-Laguna;Ignacio Garrido-Laguna;Maria Uson;N. V. Rajeshkumar;Aik Choon Tan;Aik Choon Tan

  • AMPK/FIS1-Mediated Mitophagy Is Required for Self-Renewal of Human AML Stem Cells

    Shanshan Pei;Mohammad Minhajuddin;Biniam Adane;Nabilah Khan

  • Direct reprogramming of human fibroblasts into dopaminergic neuron-like cells.

    Xinjian Liu;Xinjian Liu;Fang Li;Elizabeth A. Stubblefield;Barbara Blanchard

  • GSEA-InContext: identifying novel and common patterns in expression experiments.

    Unknown

  • Characterizing DNA methylation patterns in pancreatic cancer genome.

    Aik Choon Tan;Antonio Jimeno;Steven Hsesheng Lin;Jenna Wheelhouse

  • Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data

    Lei Xu;Aik Choon Tan;Daniel Q. Naiman;Donald Geman

  • Multi-class protein fold classification using a new ensemble machine learning approach.

    Aik Choon Tan;David Gilbert;Yves Deville

  • Tankyrase and the Canonical Wnt Pathway Protect Lung Cancer Cells from EGFR Inhibition

    Matias Casas-Selves;Jihye Kim;Zhiyong Zhang;Barbara A Helfrich

  • Resistance to ROS1 Inhibition Mediated by EGFR Pathway Activation in Non-Small Cell Lung Cancer

    Kurtis D. Davies;Sakshi Mahale;David P. Astling;Dara L. Aisner

  • Aging-associated inflammation promotes selection for adaptive oncogenic events in B cell progenitors

    Curtis J. Henry;Curtis J. Henry;Matias Casás-Selves;Jihye Kim;Vadym Zaberezhnyy

  • A resource for analysis of microRNA expression and function in pancreatic ductal adenocarcinoma cells

    Oliver A. Kent;Michael Mullendore;Eric A. Wentzel;Pedro López-Romero

  • Comprehensive Genetic Characterization of Human Thyroid Cancer Cell Lines: A Validated Panel for Preclinical Studies.

    Iñigo Landa;Nikita Pozdeyev;Christopher Korch;Laura A. Marlow

  • Maintenance of hormone responsiveness in luminal breast cancers by suppression of Notch

    James M. Haughian;Mauricio P. Pinto;J. Chuck Harrell;Brian S. Bliesner

  • Collagen architecture in pregnancy-induced protection from breast cancer

    Ori Maller;Kirk C. Hansen;Traci R. Lyons;Irene Acerbi;Irene Acerbi

  • XactMice: humanizing mouse bone marrow enables microenvironment reconstitution in a patient-derived xenograft model of head and neck cancer.

    J. Jason Morton;Gregory Bird;Stephen B. Keysar;David P. Astling

Frequent Co-Authors

Wells A. Messersmith
Wells A. Messersmith University of Colorado Boulder
Antonio Jimeno
Antonio Jimeno University of Colorado Boulder
Lynn E. Heasley
Lynn E. Heasley University of Colorado Anschutz Medical Campus
Jaewoo Kang
Jaewoo Kang Korea University
James DeGregori
James DeGregori University of Colorado Anschutz Medical Campus
Manuel Hidalgo
Manuel Hidalgo Cornell University
David Gilbert
David Gilbert Brunel University London
Xiao-Jing Wang
Xiao-Jing Wang University of California, Davis
Fred R. Hirsch
Fred R. Hirsch Mount Sinai Hospital
Robert C. Doebele
Robert C. Doebele University of Colorado Denver

External Links

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Related Online Degrees & Career Pathways

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Best Scientists Citing Aik Choon Tan

Pepper Schedin

Pepper Schedin

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Publications: 61

Virginia F. Borges

Virginia F. Borges

University of Colorado Boulder

Publications: 53

Manel Esteller

Manel Esteller

Josep Carreras Leukaemia Research Institute

Publications: 38

Robert C. Doebele

Robert C. Doebele

University of Colorado Denver

Publications: 37

Charles A. Dinarello

Charles A. Dinarello

University of Colorado Anschutz Medical Campus

Publications: 36

James DeGregori

James DeGregori

University of Colorado Anschutz Medical Campus

Publications: 30

Manuel Hidalgo

Manuel Hidalgo

Cornell University

Publications: 30

Antonio Jimeno

Antonio Jimeno

University of Colorado Boulder

Publications: 27

D. Ross Camidge

D. Ross Camidge

University of Colorado Anschutz Medical Campus

Publications: 26

Lorenzo Galluzzi

Lorenzo Galluzzi

Cornell University

Publications: 25

Wells A. Messersmith

Wells A. Messersmith

University of Colorado Boulder

Publications: 24

Mario F. Fraga

Mario F. Fraga

University of Oviedo

Publications: 23

Chuan-Yuan Li

Chuan-Yuan Li

Duke University

Publications: 23

Stephen V. Frye

Stephen V. Frye

University of North Carolina at Chapel Hill

Publications: 23

David Capper

David Capper

Charité - University Medicine Berlin

Publications: 23

Angelo D'Alessandro

Angelo D'Alessandro

University of Colorado Denver

Publications: 22

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