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Biology and Biochemistry
Australia
2023

D-Index & Metrics

Biology and Biochemistry

D-Index
118
Citations
72725
World Ranking
688
National Ranking
15

Shinichi Nakagawa 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 Shinichi Nakagawa 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: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 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: 418 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: 197 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: 60 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: 451 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Shinichi Nakagawa 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 Shinichi Nakagawa sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 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: 72 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: 118 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Biology and Biochemistry in Australia Leader Award

Overview

Shinichi Nakagawa is affiliated with the University of New South Wales in Australia and works primarily within the fields of Biochemistry, Genetics, and Molecular Biology, having contributed to 126 publications in these areas. Their research spans a variety of topics, with a significant focus on RNA biology and cancer-related molecular mechanisms.

Their main topics of research include:

  • RNA Research and Splicing
  • RNA modifications and cancer
  • Cancer-related molecular mechanisms research
  • RNA and protein synthesis mechanisms
  • Bone Tissue Engineering Materials
  • Spine and Intervertebral Disc Pathology
  • Neurogenetic and Muscular Disorders Research

Nakagawa's subfields of study emphasize Molecular Biology, Cancer Research, Biomedical Engineering, Genetics, and Pathology and Forensic Medicine. These areas reflect a multidisciplinary approach that integrates molecular insights with biomedical applications.

They have published extensively in various scientific venues. The journals and platforms with the highest frequency of their publications include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Osteoarthritis and Cartilage
  • Research Square (Research Square)
  • Nature Communications
  • Scientific Reports

Among their recent published papers are:

  • "Long non-coding RNAs: definitions, functions, challenges and recommendations" (2023), published in Nature Reviews Molecular Cell Biology
  • "A guide to membraneless organelles and their various roles in gene regulation" (2022), published in Nature Reviews Molecular Cell Biology
  • "NEAT1 is essential for metabolic changes that promote breast cancer growth and metastasis" (2021), published in Cell Metabolism
  • "Paraspeckles are constructed as block copolymer micelles" (2021), published in The EMBO Journal
  • "The lncRNA Caren antagonizes heart failure by inactivating DNA damage response and activating mitochondrial biogenesis" (2021), published in Nature Communications

Collaborative work plays a notable role in Nakagawa's career. Frequent co-authors include:

  • Tetsuro Hirose
  • Daisuke Tateiwa
  • Joe Kodama
  • Yuichiro Ukon
  • Takashi Kaito

Through these collaborations and their body of work, Nakagawa contributes to advancing knowledge in various aspects of molecular biology and biomedical research, particularly focusing on RNA biology and cancer.

Best Publications

  • A general and simple method for obtaining R2 from generalized linear mixed-effects models

    Shinichi Nakagawa;Shinichi Nakagawa;Holger Schielzeth

  • Effect size, confidence interval and statistical significance: a practical guide for biologists.

    Shinichi Nakagawa;Innes C. Cuthill

  • Redefine statistical significance

    Daniel J. Benjamin;James O. Berger;Magnus Johannesson;Magnus Johannesson;Brian A. Nosek;Brian A. Nosek

  • Repeatability for Gaussian and non-Gaussian data: a practical guide for biologists.

    Shinichi Nakagawa;Holger Schielzeth

  • The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded.

    Shinichi Nakagawa;Shinichi Nakagawa;Paul C. D. Johnson;Holger Schielzeth

  • A farewell to Bonferroni: the problems of low statistical power and publication bias

    Shinichi Nakagawa

  • Multimodel inference in ecology and evolution: challenges and solutions

    C. E. Grueber;S. Nakagawa;R. J. Laws;I. G. Jamieson

  • rptR: repeatability estimation and variance decomposition by generalized linear mixed-effects models

    Martin A. Stoffel;Martin A. Stoffel;Shinichi Nakagawa;Holger Schielzeth;Holger Schielzeth

  • Meta-analysis and the science of research synthesis

    Jessica Gurevitch;Julia Koricheva;Shinichi Nakagawa;Gavin Stewart

  • Robustness of linear mixed-effects models to violations of distributional assumptions

    Holger Schielzeth;Niels J. Dingemanse;Shinichi Nakagawa;David F. Westneat

  • General quantitative genetic methods for comparative biology: phylogenies, taxonomies and multi-trait models for continuous and categorical characters.

    Jarrod Hadfield;S. Nakagawa

  • Methodological issues and advances in biological meta-analysis

    Shinichi Nakagawa;Eduardo S. A. Santos

  • Long noncoding RNA MALAT1 suppresses breast cancer metastasis

    Jongchan Kim;Hai Long Piao;Hai Long Piao;Beom Jun Kim;Fan Yao

  • The oestrogen receptor alpha-regulated lncRNA NEAT1 is a critical modulator of prostate cancer

    Dimple Chakravarty;Andrea Sboner;Sujit S. Nair;Eugenia Giannopoulou

  • A quantitative review of heterozygosity–fitness correlations in animal populations

    J. R. Chapman;S. Nakagawa;D. W. Coltman;J. Slate

  • Functional Domains of NEAT1 Architectural lncRNA Induce Paraspeckle Assembly through Phase Separation.

    Tomohiro Yamazaki;Sylvie Souquere;Takeshi Chujo;Simon Kobelke

  • Neural crest emigration from the neural tube depends on regulated cadherin expression

    Shinichi Nakagawa;Masatoshi Takeichi

  • Neural crest cell-cell adhesion controlled by sequential and subpopulation-specific expression of novel cadherins.

    Shinichi Nakagawa;Masatoshi Takeichi

  • NEAT1 long noncoding RNA regulates transcription via protein sequestration within subnuclear bodies

    Tetsuro Hirose;Giorgio Virnicchi;Akie Tanigawa;Takao Naganuma

  • p53 induces formation of NEAT1 lncRNA-containing paraspeckles that modulate replication stress response and chemosensitivity

    Carmen Adriaens;Laura Standaert;Jasmine Barra;Mathilde Latil

Frequent Co-Authors

Tetsuro Hirose
Tetsuro Hirose Osaka University
Terry Burke
Terry Burke University of Sheffield
Holger Schielzeth
Holger Schielzeth Friedrich Schiller University Jena
Niels Jeroen Dingemanse
Niels Jeroen Dingemanse Ludwig-Maximilians-Universität München
David F. Westneat
David F. Westneat University of Kentucky
Jessica Gurevitch
Jessica Gurevitch Stony Brook University
Robert Poulin
Robert Poulin University of Otago
Kannanganattu V. Prasanth
Kannanganattu V. Prasanth University of Illinois at Urbana-Champaign
Benjamin Meder
Benjamin Meder Heidelberg University

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