World's Best Scientists 2026 revealed!

D-Index & Metrics

Molecular Biology

D-Index
68
Citations
16987
World Ranking
1513
National Ranking
768

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.

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: 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.

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.

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: 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.

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
Charles A. Dinarello
Charles A. Dinarello University of Colorado Anschutz Medical Campus

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring molecular biology can open doors to interdisciplinary careers and further education, especially with the flexibility of online learning. Many students interested in the biological sciences also discover rewarding options in related fields. For those seeking mental health careers, clinical psychology masters programs online provide advanced training in behavior and therapy without relocating.

If you’re eager to support communities or enter healthcare, consider an accelerated human services degree online. This can fast-track your entry into roles that make a direct impact. For educators wanting a science or healthcare shift, the guide on teacher to slp outlines how to transition into speech-language pathology, a high-demand field closely linked to neurobiology and linguistics.

Additionally, students interested in bio-design and the built environment can benefit from a architecture degree online. These programs integrate STEM skills with creative problem-solving. By exploring these pathways, you can tailor your academic experience to fit your professional goals beyond the traditional laboratory setting.

Best Scientists Citing Aik Choon Tan

Trending Scientists

Recently Published Articles