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D-Index & Metrics

Molecular Biology

D-Index
46
Citations
9767
World Ranking
2800
National Ranking
1343

Kai 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 Kai 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: 170 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Kai 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 Kai 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: 46 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Kai Tan is affiliated with the Children's Hospital of Philadelphia in the United States. Their research contributions span multiple areas within medicine, with a strong focus on molecular biology, immunology, oncology, hematology, and genetics. These fields are reflected in their extensive publication record and multi-disciplinary approach to biomedical research.

The scientist's main fields of study include:

  • Medicine
  • Biochemistry, Genetics and Molecular Biology

Their subfields of study emphasize:

  • Molecular Biology
  • Immunology
  • Oncology
  • Hematology
  • Genetics

The core topics addressed in their work feature:

  • Single-cell and spatial transcriptomics
  • Acute Myeloid Leukemia Research
  • CAR-T cell therapy research
  • Immune cells in cancer
  • Acute Lymphoblastic Leukemia research
  • Epigenetics and DNA Methylation
  • Cancer Genomics and Diagnostics

Kai Tan has contributed to several recent publications of note, including:

  • "Decade-long leukaemia remissions with persistence of CD4+ CAR T cells," 2022, published in Nature
  • "The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution," 2020, published in Cell
  • "Integrative Bulk and Single-Cell Profiling of Premanufacture T-cell Populations Reveals Factors Mediating Long-Term Persistence of CAR T-cell Therapy," 2021, published in Cancer Discovery
  • "Developmental trajectory of prehematopoietic stem cell formation from endothelium," 2020, published in Blood
  • "Mapping the cellular biogeography of human bone marrow niches using single-cell transcriptomics and proteomic imaging," 2024, published in Cell

The venues where Kai Tan most frequently publishes include:

  • Blood
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cancer Research
  • Nature
  • Nature Communications

Collaborations are a significant part of their research, with frequent co-authors including:

  • Changya Chen
  • Yasin Uzun
  • Wenbao Yu
  • Shovik Bandyopadhyay
  • Jason Xu

Best Publications

  • An Atlas of Combinatorial Transcriptional Regulation in Mouse and Man

    Timothy Ravasi;Harukazu Suzuki;Carlo Vittorio Cannistraci;Shintaro Katayama

  • The Human Tumor Atlas Network: Charting Tumor Transitions Across Space and Time at Single-Cell Resolution

    Orit Rozenblatt-Rosen;Aviv Regev;Aviv Regev;Aviv Regev;Philipp Oberdoerffer;Tal Nawy

  • The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line

    Harukazu Suzuki;Alistair R.R. Forrest;Erik Van Nimwegen;Carsten O. Daub

  • A lineage-resolved molecular atlas of C. elegans embryogenesis at single-cell resolution

    Jonathan S. Packer;Qin Zhu;Chau Huynh;Priya Sivaramakrishnan

  • Global view of enhancer-promoter interactome in human cells.

    Bing He;Changya Chen;Li Teng;Kai Tan

  • Inflammatory signaling regulates embryonic hematopoietic stem and progenitor cell production

    Yan Li;Virginie Esain;Li Teng;Jian Xu

  • Runx1 Deficiency Decreases Ribosome Biogenesis and Confers Stress Resistance to Hematopoietic Stem and Progenitor Cells

    Xiongwei Cai;Long Gao;Li Teng;Jingping Ge

  • H3K9me3-heterochromatin loss at protein-coding genes enables developmental lineage specification

    Dario Nicetto;Greg Donahue;Tanya Jain;Tao Peng

  • TCF-1 and LEF-1 act upstream of Th-POK to promote the CD4 + T cell fate and interact with Runx3 to silence Cd4 in CD8 + T cells

    Farrah C. Steinke;Shuyang Yu;Xinyuan Zhou;Bing He

  • Integrative Bulk and Single-Cell Profiling of Premanufacture T-cell Populations Reveals Factors Mediating Long-Term Persistence of CAR T-cell Therapy.

    Gregory M. Chen;Changya Chen;Rajat K. Das;Peng Gao

  • Discover regulatory DNA elements using chromatin signatures and artificial neural network

    Hiram A. Firpi;Duygu Ucar;Kai Tan

  • EnhancerAtlas: a resource for enhancer annotation and analysis in 105 human cell/tissue types

    Tianshun Gao;Bing He;Sheng Liu;Heng Zhu

  • A Comparative Genomics Approach to Prediction of New Members of Regulons

    Kai Tan;Gabriel Moreno-Hagelsieb;Julio Collado-Vides;Gary D. Stormo

  • Developmental trajectory of prehematopoietic stem cell formation from endothelium

    Qin Zhu;Peng Gao;Joanna Tober;Laura Bennett

  • 4DGenome: a comprehensive database of chromatin interactions.

    Li Teng;Bing He;Jiahui Wang;Kai Tan

  • CytoTalk: De novo construction of signal transduction networks using single-cell transcriptomic data

    Yuxuan Hu;Tao Peng;Lin Gao;Kai Tan;Kai Tan

  • A microfluidic device for epigenomic profiling using 100 cells

    Zhenning Cao;Changya Chen;Bing He;Kai Tan

  • Crystal structure of enteropeptidase light chain complexed with an analog of the trypsinogen activation peptide.

    Deshun Lu;K. Futterer;S. Korolev;Xinglong Zheng

  • SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data

    Tao Peng;Qin Zhu;Penghang Yin;Kai Tan

  • An Atlas of Combinatorial Transcriptional Regulation in Mouse and Man (vol 140, pg 744, 2010)

    Timothy Ravasi;Harukazu Suzuki;Carlo Vittorio Cannistraci;Shintaro Katayama

Frequent Co-Authors

Nancy A. Speck
Nancy A. Speck University of Pennsylvania
David M. Barrett
David M. Barrett Children's Hospital of Philadelphia
Jesper Tegnér
Jesper Tegnér King Abdullah University of Science and Technology
Timothy Ravasi
Timothy Ravasi Okinawa Institute of Science and Technology
Winston Hide
Winston Hide Harvard Medical School
Sarah A. Teichmann
Sarah A. Teichmann University of Cambridge
Trey Ideker
Trey Ideker University of California, San Diego
Oliver Hofmann
Oliver Hofmann University of Melbourne
Julian Gough
Julian Gough University of Bristol
Sean M. Grimmond
Sean M. Grimmond University of Melbourne

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