World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
72
Citations
22254
World Ranking
6194
National Ranking
399

Norihiro Kato publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Norihiro Kato sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 413 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 848 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 949 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 840 scientists 207–216 publications: 733 scientists 217–226 publications: 708 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 417 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 196 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 59 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 213 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Norihiro Kato D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Norihiro Kato sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 316 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 899 scientists 52–53 D-Index: 1,025 scientists 54–55 D-Index: 1,149 scientists 56–57 D-Index: 1,235 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,162 scientists 62–63 D-Index: 1,130 scientists 64–65 D-Index: 1,031 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 714 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 71 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 72 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Norihiro Kato is affiliated with the National Center For Global Health and Medicine in Japan. Their research spans multiple fields within medicine, biochemistry, genetics, and molecular biology, with a focus on molecular biology, genetics, cardiology and cardiovascular medicine, endocrinology, diabetes and metabolism, and epidemiology.

The scientist's recent publications reflect a focus on genetic associations and epidemiology, hormonal regulation and hypertension, and the renin-angiotensin system among other topics. Significant recent papers include:

  • Identification of type 2 diabetes loci in 433,540 East Asian individuals (2020, Nature)
  • A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study (2022, European Heart Journal)
  • Identification of genetic effects underlying type 2 diabetes in South Asian and European populations (2022, Communications Biology)
  • SLC15A4 mediates M1-prone metabolic shifts in macrophages and guards immune cells from metabolic stress (2021, Proceedings of the National Academy of Sciences)
  • Lectin-Like Oxidized Low-Density Lipoprotein Receptor-1-Related Microglial Activation in Neonatal Hypoxic-Ischemic Encephalopathy (2021, American Journal Of Pathology)

The main topics of Kato's work cover a variety of areas, including genetic associations and epidemiology, hormonal regulation and hypertension, renin-angiotensin system studies, liver disease diagnosis and treatment, RNA modifications and cancer, neuroinflammation and neurodegeneration mechanisms, and bioinformatics and genomic networks.

  • Genetic Associations and Epidemiology
  • Hormonal Regulation and Hypertension
  • Renin-Angiotensin System Studies
  • Liver Disease Diagnosis and Treatment
  • RNA modifications and cancer
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Bioinformatics and Genomic Networks

The scientist has collaborated frequently with several co-authors, including Fumihiko Takeuchi, Masato Isono, Yi-Qiang Liang, Ching-Yu Cheng, and Tien Yin Wong.

  • Fumihiko Takeuchi
  • Masato Isono
  • Yi-Qiang Liang
  • Ching-Yu Cheng
  • Tien Yin Wong

Norihiro Kato's work has been published in a variety of venues, with multiple papers appearing in bioRxiv (Cold Spring Harbor Laboratory). Other frequent publication venues include the Journal of Hypertension, International Heart Journal, Nature, and European Heart Journal.

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Hypertension
  • International Heart Journal
  • Nature
  • European Heart Journal

The diversity in research topics and publication outlets highlights a multidisciplinary approach, covering aspects of endocrinology, cardiovascular research, genomics, and immunology within the broader medical and biological sciences.

Best Publications

  • Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

    Mary F. Feitosa;Aldi T. Kraja;Daniel I. Chasman;Yun J. Sung

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

  • The trans-ancestral genomic architecture of glycemic traits

    Ji Chen;Ji Chen;Cassandra N. Spracklen;Cassandra N. Spracklen;Gaëlle Marenne;Gaëlle Marenne;Arushi Varshney

  • Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity

    Simone Wahl;Alexander Drong;Benjamin Lehne;Marie Loh;Marie Loh;Marie Loh

  • Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians

    Yoon Shin Cho;Chien Hsiun Chen;Chien Hsiun Chen;Cheng Hu;Jirong Long

  • Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians

    Norihiro Kato;Fumihiko Takeuchi;Yasuharu Tabara;Tanika N. Kelly

  • Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci

    Jaspal S Kooner;Danish Saleheen;Xueling Sim;Joban Sehmi;Joban Sehmi

  • Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk

    Helen R Warren;Evangelos Evangelou;Evangelos Evangelou;Claudia P Cabrera;He Gao

  • Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

    Cristian Pattaro;Alexander Teumer;Mathias Gorski;Audrey Y. Chu

  • Epigenome-wide association of DNA methylation markers in peripheral blood from Indian Asians and Europeans with incident type 2 diabetes: a nested case-control study.

    John C Chambers;Marie Loh;Marie Loh;Marie Loh;Benjamin Lehne;Alexander Drong

  • Meta-analysis identifies common variants associated with body mass index in east Asians

    Wanqing Wen;Yoon Shin Cho;Wei Zheng;Rajkumar Dorajoo;Rajkumar Dorajoo

  • Characteristics and outcomes of hospitalized patients with heart failure and reduced vs preserved ejection fraction. Report from the Japanese Cardiac Registry of Heart Failure in Cardiology (JCARE-CARD).

    Miyuki Tsuchihashi-Makaya;Sanae Hamaguchi;Shintaro Kinugawa;Takashi Yokota

  • Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis

    Eleanor Wheeler;Aaron Leong;Ching-Ti Liu;Marie-France Hivert

  • Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation

    Norihiro Kato;Marie Loh;Marie Loh;Marie Loh;Fumihiko Takeuchi;Niek Verweij

  • Identification of type 2 diabetes loci in 433,540 East Asian individuals

    Cassandra N Spracklen;Cassandra N Spracklen;Momoko Horikoshi;Young Jin Kim;Kuang Lin

  • Meta-analysis identifies multiple loci associated with kidney function–related traits in east Asian populations

    Y. Okada;X. Sim;X. Sim;M. J. Go;J. Y. Wu;J. Y. Wu

  • Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes

    Rainer Malik;Ganesh Chauhan;Matthew Traylor;Muralidharan Sargurupremraj

  • Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

    Mahajan A;Spracklen Cn;Zhang W;Ng Mc

  • Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk (vol 49, pg 403, 2017)

    HR Warren;E Evangelou;CP Cabrera;H Gao

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

Frequent Co-Authors

Fumihiko Takeuchi
Fumihiko Takeuchi Juntendo University
Jianjun Liu
Jianjun Liu Genome Institute of Singapore
Tien Yin Wong
Tien Yin Wong Tsinghua University
John C. Chambers
John C. Chambers Guy's and St Thomas' NHS Foundation Trust
Tomohiro Katsuya
Tomohiro Katsuya Osaka University
Jaspal S. Kooner
Jaspal S. Kooner Imperial College London
Yik Ying Teo
Yik Ying Teo National University of Singapore
Weihua Zhang
Weihua Zhang Imperial College London
Chiea Chuen Khor
Chiea Chuen Khor Agency for Science, Technology and Research
Xueling Sim
Xueling Sim National University of Singapore

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