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Eriko Takano

D-Index & Metrics

Biology and Biochemistry

D-Index
58
Citations
18843
World Ranking
12940
National Ranking
1011

Eriko Takano 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 Eriko Takano 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: 167 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Eriko Takano 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 Eriko Takano 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: 58 D-Index — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Overview

Eriko Takano is affiliated with the University of Manchester in the United Kingdom. Their research spans several fields within biochemistry, genetics, and molecular biology, with significant work also touching on medicine.

Their main fields of study include:

  • Biochemistry, Genetics and Molecular Biology
  • Medicine

Within these broader fields, Takano has contributed to multiple subfields, notably:

  • Molecular Biology
  • Pharmacology
  • Materials Chemistry
  • Plant Science
  • Epidemiology

Their research topics cover a range of specialized areas, including:

  • Microbial Natural Products and Biosynthesis
  • Microbial Metabolic Engineering and Bioproduction
  • Plant biochemistry and biosynthesis
  • Mycobacterium research and diagnosis
  • Silk-based biomaterials and applications
  • Enzyme Catalysis and Immobilization
  • Plant Gene Expression Analysis

Takano's recent publications represent an active contribution to scientific literature, notably in areas related to antibiotic discovery, metabolic engineering, and biomaterials. Selected papers include:

  • Towards the sustainable discovery and development of new antibiotics, 2021, published in Nature Reviews Chemistry
  • Host Systems for the Production of Recombinant Spider Silk, 2020, published in Trends in Biotechnology
  • Engineering Escherichia coli towards de novo production of gatekeeper (2S)-flavanones: naringenin, pinocembrin, eriodictyol and homoeriodictyol, 2020, published in Synthetic Biology
  • Rapid prototyping of microbial production strains for the biomanufacture of potential materials monomers, 2020, published in Metabolic Engineering
  • Switchable foldamer ion channels with antibacterial activity, 2020, published in Chemical Science

Frequent co-authors who have collaborated extensively with Takano include:

  • Rainer Breitling
  • Nigel S. Scrutton
  • Cunyu Yan
  • Erik K. R. Hanko
  • Marlene Castro-Melchor

Takano's work appears regularly in a variety of publication venues, including:

  • University of Groningen research database (University of Groningen / Centre for Information Technology)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • The Cambridge Structural Database
  • Synthetic Biology
  • Frontiers in Bioengineering and Biotechnology

Best Publications

  • antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters

    Tilmann Weber;Kai Blin;Srikanth Duddela;Daniel Krug

  • antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences

    Marnix H. Medema;Kai Blin;Peter Cimermancic;Victor de Jager;Victor de Jager

  • antiSMASH 4.0-improvements in chemistry prediction and gene cluster boundary identification.

    Kai Blin;Thomas Wolf;Marc G. Chevrette;Xiaowen Lu

  • Towards the sustainable discovery and development of new antibiotics

    Marcus Miethke;Marco Pieroni;Tilmann Weber;Mark Brönstrup

  • Insights into secondary metabolism from a global analysis of prokaryotic biosynthetic gene clusters.

    Peter Cimermancic;Marnix H. Medema;Jan Claesen;Kenji Kurita

  • antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers

    Kai Blin;Marnix H. Medema;Daniyal Kazempour;Michael A. Fischbach

  • Minimum Information about a Biosynthetic Gene cluster.

    Marnix H. Medema;Marnix H. Medema;Renzo Kottmann;Pelin Yilmaz;Matthew Cummings

  • γ-Butyrolactones: Streptomyces signalling molecules regulating antibiotic production and differentiation

    Eriko Takano

  • Detecting sequence homology at the gene cluster level with MultiGeneBlast.

    Marnix H. Medema;Eriko Takano;Eriko Takano;Rainer Breitling;Rainer Breitling;Rainer Breitling

  • Transcriptional regulation of the redD transcriptional activator gene accounts for growth-phase-dependent production of the antibiotic undecylprodigiosin in Streptomyces coelicolor A3(2).

    E. Takano;H. C. Gramajo;E. Strauch;N. Andres

  • A complex role for the γ‐butyrolactone SCB1 in regulating antibiotic production in Streptomyces coelicolor A3(2)

    Eriko Takano;Rekha Chakraburtty;Takuya Nihira;Yashuhiro Yamada

  • An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals

    Pablo Carbonell;Adrian J. Jervis;Christopher J. Robinson;Cunyu Yan

  • Stationary-phase production of the antibiotic actinorhodin in Streptomyces coelicolor A3(2) is transcriptionally regulated

    Hugo C. Gramajo;Eriko Takano;Mervyn J. Bibb

  • Computational tools for the synthetic design of biochemical pathways

    Marnix H. Medema;Renske van Raaphorst;Eriko Takano;Rainer Breitling;Rainer Breitling

  • The stringent response in Streptomyces coelicolor A3(2).

    E. Strauch;E. Takano;H.A. Baylis;M.J. Bibb

  • The sequence of a 1.8-Mb bacterial linear plasmid reveals a rich evolutionary reservoir of secondary metabolic pathways

    Marnix H. Medema;Axel Trefzer;Andriy Kovalchuk;Marco van den Berg

  • A bacterial hormone (the SCB1) directly controls the expression of a pathway-specific regulatory gene in the cryptic type I polyketide biosynthetic gene cluster of Streptomyces coelicolor

    Eriko Takano;Hiroshi Kinoshita;Vassilis Mersinias;Giselda Bucca

  • Purification and Structural Determination of SCB1, a γ-Butyrolactone That Elicits Antibiotic Production in Streptomyces coelicolor A3(2)

    Eriko Takano;Takuya Nihira;Yoshitaka Hara;Jo J. Jones

  • A systematic computational analysis of biosynthetic gene cluster evolution: lessons for engineering biosynthesis.

    Marnix H. Medema;Peter Cimermancic;Andrej Sali;Eriko Takano

  • Exploiting plug-and-play synthetic biology for drug discovery and production in microorganisms

    Marnix H. Medema;Rainer Breitling;Roel Bovenberg;Eriko Takano

Frequent Co-Authors

Rainer Breitling
Rainer Breitling University of Manchester
Nigel S. Scrutton
Nigel S. Scrutton University of Manchester
Marnix H. Medema
Marnix H. Medema Wageningen University & Research
Neil Swainston
Neil Swainston Epoch BioDesign
Philip Shapira
Philip Shapira University of Manchester
Jean-Loup Faulon
Jean-Loup Faulon University of Paris-Saclay
Jason Micklefield
Jason Micklefield University of Manchester
Nicholas J. Turner
Nicholas J. Turner University of Manchester
Mervyn J. Bibb
Mervyn J. Bibb John Innes Centre
Michael A. Fischbach
Michael A. Fischbach Stanford University

External Links

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Best Scientists Citing Eriko Takano

Pieter C. Dorrestein

Pieter C. Dorrestein

University of California, San Diego

Publications: 81

Gilles P. van Wezel

Gilles P. van Wezel

Leiden University

Publications: 75

Bradley S. Moore

Bradley S. Moore

University of California, San Diego

Publications: 73

Marnix H. Medema

Marnix H. Medema

Wageningen University & Research

Publications: 67

Jörn Kalinowski

Jörn Kalinowski

Bielefeld University

Publications: 60

Wolfgang Wohlleben

Wolfgang Wohlleben

University of Tübingen

Publications: 53

Takuya Nihira

Takuya Nihira

Osaka University

Publications: 50

Zixin Deng

Zixin Deng

Shanghai Jiao Tong University

Publications: 48

Rolf Müller

Rolf Müller

Saarland University

Publications: 47

Mervyn J. Bibb

Mervyn J. Bibb

John Innes Centre

Publications: 45

Sang Yup Lee

Sang Yup Lee

Korea Advanced Institute of Science and Technology

Publications: 45

Cameron R. Currie

Cameron R. Currie

University of Wisconsin–Madison

Publications: 40

Helge B. Bode

Helge B. Bode

Goethe University Frankfurt

Publications: 38

Juan F. Martín

Juan F. Martín

University of Leon

Publications: 37

William H. Gerwick

William H. Gerwick

University of California, San Diego

Publications: 33

Huimin Zhao

Huimin Zhao

University of Illinois at Urbana-Champaign

Publications: 33

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