World's Best Scientists 2026 revealed!
Jun Kawai

Jun Kawai

Award Badge
Genetics and Molecular Biology
Japan
2024

D-Index & Metrics

Genetics

D-Index
73
Citations
54003
World Ranking
1994
National Ranking
75

Jun Kawai publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Jun Kawai sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 181 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Jun Kawai D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Jun Kawai sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 73 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Research.com Recognitions

  • 2024 - Research.com Genetics and Molecular Biology in Japan Leader Award

Overview

Jun Kawai is affiliated with RIKEN in Japan and conducts research spanning multiple scientific disciplines, primarily within Physics and Astronomy. Their work includes contributions to Radiation, Molecular Biology, Plant Science, Genetics, and Oncology.

Their published research covers a broad spectrum of topics, reflecting a multidisciplinary approach. Key topics of study include:

  • X-ray Spectroscopy and Fluorescence Analysis
  • Chromosomal and Genetic Variations
  • Genomics and Phylogenetic Studies
  • Nuclear Physics and Applications
  • Genetic Mapping and Diversity in Plants and Animals
  • Mesenchymal stem cell research
  • Single-cell and spatial transcriptomics

Kawai's publication record features articles in various scientific venues. Notable frequent publication venues include:

  • X-Ray Spectrometry
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Data
  • Stem Cells Translational Medicine
  • Journal of Clinical Medicine

Some of their recent papers are:

  • Chromosomal-scale de novo genome assemblies of Cynomolgus Macaque and Common Marmoset (2021) in Scientific Data
  • Single-Cell RNA-Seq Reveals LRRC75A-Expressing Cell Population Involved in VEGF Secretion of Multipotent Mesenchymal Stromal/Stem Cells Under Ischemia (2023) in Stem Cells Translational Medicine
  • Bone Metastases from Gastric Cancer Resembling Paget's Disease: A Case Report (2022) in Journal of Clinical Medicine
  • Polarization and intensity of Compton scattering (2021) in X-Ray Spectrometry
  • ROR2 expression predicts human induced pluripotent stem cell differentiation into neural stem/progenitor cells and GABAergic neurons (2024) in Scientific Reports

Collaboration is a consistent aspect of Kawai's research activity. Frequent co-authors include Yumiko Yamamoto, Hideya Kawaji, Vasanthan Jayakumar, Osamu Nishimura, and Mitsutaka Kadota, reflecting ongoing partnership across multiple studies.

Best Publications

  • Initial sequencing and comparative analysis of the mouse genome.

    Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers

  • Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

    Ewan Birney;John A. Stamatoyannopoulos;Anindya Dutta;Roderic Guigó

  • The Transcriptional Landscape of the Mammalian Genome

    P. Carninci;T. Kasukawa;S. Katayama;J. Gough

  • An atlas of active enhancers across human cell types and tissues

    Robin Andersson;Claudia Gebhard;Irene Miguel-Escalada;Ilka Hoof

  • Monitoring the expression profiles of 7000 Arabidopsis genes under drought, cold and high-salinity stresses using a full-length cDNA microarray.

    Motoaki Seki;Mari Narusaka;Junko Ishida;Tokihiko Nanjo

  • Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs

    Y. Okazaki;M. Furuno;T. Kasukawa;J. Adachi

  • A promoter-level mammalian expression atlas

    Alistair R.R. Forrest;Hideya Kawaji;Michael Rehli;J. Kenneth Baillie

  • Antisense Transcription in the Mammalian Transcriptome

    S. Katayama;Y. Tomaru;T. Kasukawa;K. Waki

  • Insights into social insects from the genome of the honeybee Apis mellifera

    George M. Weinstock;Gene E. Robinson;Richard A. Gibbs;Kim C. Worley

  • Genome-wide analysis of mammalian promoter architecture and evolution

    Piero Carninci;Albin Sandelin;Boris Lenhard;Boris Lenhard;Shintaro Katayama

  • Comprehensive Analysis of NAC Family Genes in Oryza sativa and Arabidopsis thaliana

    Hisako Ooka;Kouji Satoh;Koji Doi;Toshifumi Nagata

  • Empirical analysis of transcriptional activity in the Arabidopsis genome.

    Kayoko Yamada;Jun Lim;Joseph M. Dale;Huaming Chen;Huaming Chen

  • Collection, Mapping, and Annotation of Over 28,000 cDNA Clones from japonica Rice

    Shoshi Kikuchi;Kouji Satoh;Toshifumi Nagata;Nobuyuki Kawagashira

  • Cap analysis gene expression for high-throughput analysis of transcriptional starting point and identification of promoter usage.

    Toshiyuki Shiraki;Shinji Kondo;Shintaro Katayama;Kazunori Waki

  • Functional annotation of a full-length mouse cDNA collection

    J. Kawai;A. Shinagawa;K. Shibata;M. Yoshino

  • The regulated retrotransposon transcriptome of mammalian cells.

    Geoffrey J Faulkner;Yasumasa Kimura;Carsten O Daub;Shivangi Wani

  • An Atlas of Combinatorial Transcriptional Regulation in Mouse and Man

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

  • Functional annotation of a full-length Arabidopsis cDNA collection.

    Motoaki Seki;Mari Narusaka;Asako Kamiya;Junko Ishida

  • Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells

    Erik Arner;Carsten O. Daub;Kristoffer Vitting-Seerup;Robin Andersson

  • Monitoring the expression pattern of around 7,000 Arabidopsis genes under ABA treatments using a full-length cDNA microarray

    Motoaki Seki;Junko Ishida;Mari Narusaka;Miki Fujita

Frequent Co-Authors

David A. Hume
David A. Hume University of Queensland
Alistair R. R. Forrest
Alistair R. R. Forrest Harry Perkins Institute of Medical Research
Boris Lenhard
Boris Lenhard Imperial College London
Carsten O. Daub
Carsten O. Daub Karolinska Institute
Shintaro Katayama
Shintaro Katayama Karolinska Institute

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 a career in genetics opens doors to many related pathways in healthcare, research, and the biotech industry. For those interested in administrative roles, consider accredited medical billing and coding schools online with financial aid. These programs can help you join the healthcare sector without committing to a full genetics or life sciences degree.

If you’re eager to jumpstart your career, look into fast track college programs that offer accelerated options. These allow you to earn a degree or certification in less time, getting you workforce-ready faster.

Flexibility is key for many learners today. Some prefer the independence of accredited self paced online colleges, which enable you to study genetics-related courses at your own pace, accommodating work or family obligations.

Finally, getting started shouldn’t be a financial burden. There are numerous colleges with free application fees, making it easier to apply to multiple programs and find the best fit for your career ambitions.

Best Scientists Citing Jun Kawai

Trending Scientists

Recently Published Articles