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Toshimichi Ikemura

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 59 3201 3028 140 136 178 20870

Toshimichi Ikemura publications per year

The chart shows the history of publications by Toshimichi Ikemura between 1969 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Toshimichi Ikemura published across 56 years, from 1969 to 2024, averaging 3.4 papers a year. Output peaked at 12 publications in 1996. 5 of the 189 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1969 to 2024. Vertical axis: number of publications, 0 to 12. Peak 12 publications in 1996. 1969: 3 publications 1970: 0 publications 1971: 1 publication 1972: 0 publications 1973: 3 publications 1974: 1 publication 1975: 2 publications 1976: 0 publications 1977: 3 publications 1978: 2 publications 1979: 1 publication 1980: 2 publications 1981: 3 publications 1982: 1 publication 1983: 1 publication 1984: 0 publications 1985: 1 publication 1986: 4 publications 1987: 3 publications 1988: 1 publication 1989: 2 publications 1990: 1 publication 1991: 5 publications 1992: 4 publications 1993: 1 publication 1994: 6 publications 1995: 4 publications 1996: 12 publications 1997: 7 publications 1998: 3 publications 1999: 5 publications 2000: 11 publications 2001: 7 publications 2002: 8 publications 2003: 3 publications 2004: 1 publication 2005: 7 publications 2006: 4 publications 2007: 2 publications 2008: 2 publications 2009: 8 publications 2010: 2 publications 2011: 3 publications 2012: 1 publication 2013: 6 publications 2014: 5 publications 2015: 3 publications 2016: 3 publications 2017: 4 publications 2018: 1 publication 2019: 0 publications 2020: 9 publications 2021: 5 publications 2022: 7 publications 2023: 4 publications 2024: 1 publication
1969 2024

189 publications in total across all disciplines

View publications per year as a table
Toshimichi Ikemura: publications per year, 1969 to 2024
Year Publications
1969 3
1970 0
1971 1
1972 0
1973 3
1974 1
1975 2
1976 0
1977 3
1978 2
1979 1
1980 2
1981 3
1982 1
1983 1
1984 0
1985 1
1986 4
1987 3
1988 1
1989 2
1990 1
1991 5
1992 4
1993 1
1994 6
1995 4
1996 12
1997 7
1998 3
1999 5
2000 11
2001 7
2002 8
2003 3
2004 1
2005 7
2006 4
2007 2
2008 2
2009 8
2010 2
2011 3
2012 1
2013 6
2014 5
2015 3
2016 3
2017 4
2018 1
2019 0
2020 9
2021 5
2022 7
2023 4
2024 1
Total 189
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Toshimichi Ikemura 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 Toshimichi Ikemura sits on this spectrum.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 175–184 publications, is where this scientist sits. 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
45–54 publications 703+

This scientist: 178 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188
165–174 170
175–184 178 178
185–194 164
195–204 173
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
Download as CSV

Toshimichi Ikemura 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 Toshimichi Ikemura sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 58–59 D-Index, is where this scientist sits. 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
40–41 D-Index 160+

This scientist: 59 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162 59
60–61 175
62–63 191
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127
78–79 127
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
Download as CSV

Overview

Toshimichi Ikemura is affiliated with the Nagahama Institute of Bio-Science and Technology in Japan. Their research spans multiple disciplines within the life sciences, focusing primarily on areas related to biochemistry, genetics, molecular biology, medicine, and agricultural and biological sciences.

Their work heavily involves subfields such as molecular biology, infectious diseases, plant science, animal science and zoology, and ecology. Within these fields, Ikemura has contributed to topics including genomics and phylogenetic studies, SARS-CoV-2 and COVID-19 research, viral gastroenteritis research and epidemiology, chromosomal and genetic variations, machine learning in bioinformatics, RNA and protein synthesis mechanisms, and animal virus infection studies.

Ikemura has published regularly in notable venues. Frequent publication outlets include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Research Square
  • Genes & Genetic Systems
  • BMC Microbiology
  • PLoS ONE

Collaborations have been significant throughout their career. Noteworthy coauthors consist of:

  • Yuki Iwasaki
  • Kennosuke Wada
  • Yoshiko Wada
  • Takashi Abe
  • Y Katsura

Representative recent papers authored or coauthored by Ikemura include:

  • "Time-series analyses of directional sequence changes in SARS-CoV-2 genomes and an efficient search method for candidates for advantageous mutations for growth in human cells," 2020, Gene
  • "Human cell-dependent, directional, time-dependent changes in the mono- and oligonucleotide compositions of SARS-CoV-2 genomes," 2021, BMC Microbiology
  • "Mb-level CpG and TFBS islands visualized by AI and their roles in the nuclear organization of the human genome," 2020, Genes & Genetic Systems
  • "Comparative genomics of Glandirana rugosa using unsupervised AI reveals a high CG frequency," 2021, Life Science Alliance
  • "Time-Series Trend of Pandemic SARS-CoV-2 Variants Visualized Using Batch-Learning Self-Organizing Map for Oligonucleotide Compositions," 2021, Data Science Journal

Their scientific output emphasizes the use of computational and artificial intelligence methods in genomics, particularly in visualizing genetic features and analyzing viral sequence evolution. This intersects with their broad interest in molecular mechanisms and pathogen genomics.

Best Publications

  • Codon usage and tRNA content in unicellular and multicellular organisms.

    T Ikemura

  • Correlation Between the Abundance of Escherichia Coli Transfer RNAs and the Occurrence of the Respective Codons in Its Protein Genes: A Proposal for a Synonymous Codon Choice That Is Optimal for the E. Coli Translational System

    Toshimichi Ikemura

  • Codon usage tabulated from international DNA sequence databases: status for the year 2000

    Yasukazu Nakamura;Takashi Gojobori;Toshimichi Ikemura

  • Correlation between the abundance of Escherichia coli transfer RNAs and the occurrence of the respective codons in its protein genes

    Toshimichi Ikemura

  • Rice Annotation Project Database (RAP-DB): an integrative and interactive database for rice genomics.

    Hiroaki Sakai;Sung Shin Lee;Tsuyoshi Tanaka;Hisataka Numa

  • Correlation between the abundance of yeast transfer RNAs and the occurrence of the respective codons in protein genes: Differences in synonymous codon choice patterns of yeast and Escherichia coli with reference to the abundance of isoaccepting transfer RNAs

    Toshimichi Ikemura

  • Codon usage tabulated from the GenBank genetic sequence data.

    Shin-ichi Aota;Takashi Gojobori;Fumie Ishibashi;Takeo Maruyama

  • Studies of codon usage and tRNA genes of 18 unicellular organisms and quantification of Bacillus subtilis tRNAs: gene expression level and species-specific diversity of codon usage based on multivariate analysis.

    Shigehiko Kanaya;Yuko Yamada;Yoshihiro Kudo;Toshimichi Ikemura

  • Substrate-induced gene-expression screening of environmental metagenome libraries for isolation of catabolic genes

    Taku Uchiyama;Takashi Abe;Toshimichi Ikemura;Kazuya Watanabe

  • Codon usage and tRNA genes in eukaryotes: correlation of codon usage diversity with translation efficiency and with CG-dinucleotide usage as assessed by multivariate analysis.

    Shigehiko Kanaya;Yuko Yamada;Makoto Kinouchi;Yoshihiro Kudo

  • Codon usage tabulated from the international DNA sequence databases

    Yasukazu Nakamura;Takashi Gojobori;Toshimichi Ikemura

  • Small Ribonucleic Acids of Escherichia coli I. CHARACTERIZATION BY POLYACRYLAMIDE GEL ELECTROPHORESIS AND FINGERPRINT ANALYSIS

    Toshimichi Ikemura;James E. Dahlberg

  • Informatics for Unveiling Hidden Genome Signatures

    Takashi Abe;Shigehiko Kanaya;Makoto Kinouchi;Yuta Ichiba

  • Three genes in the human MHC class III region near the junction with the class II: gene for receptor of advanced glycosylation end products, PBX2 homeobox gene and a notch homolog, human counterpart of mouse mammary tumor gene int-3.

    Kimihiko Sugaya;Tatsuo Fukagawa;Ken-ichi Matsumoto;Kazuei Mita

  • Specific Inactivation of 16S Ribosomal RNA Induced by Colicin E3 In Vivo

    C. M. Bowman;J. E. Dahlberg;T. Ikemura;J. Konisky

  • Diversity in G+C content at the third position of codons in vertebrate genes and its cause

    Shin-ichi Aota;Toshimichi Ikemura

  • Analysis of codon usage diversity of bacterial genes with a self-organizing map (SOM): characterization of horizontally transferred genes with emphasis on the E. coli O157 genome

    Shigehiko Kanaya;Makoto Kinouchi;Takashi Abe;Yoshihiro Kudo

  • Molecular dynamics of MHC genesis unraveled by sequence analysis of the 1,796,938-bp HLA class I region.

    Takashi Shiina;Gen Tamiya;Akira Oka;Nobusada Takishima

  • Chromosomal localization of the proteasome Z subunit gene reveals an ancient chromosomal duplication involving the major histocompatibility complex.

    Masanori Kasahara;Masaru Hayashi;Keiji Tanaka;Hidetoshi Inoko

  • Cordon usage tabulated from the Gen Bank genetic sequence data

    K. Wada;S. Aota;R. Tsuchiya;F. Ishibashi

Frequent Co-Authors

Shigehiko Kanaya
Shigehiko Kanaya Nara Institute of Science and Technology
Tatsuo Fukagawa
Tatsuo Fukagawa Osaka University
Hidetoshi Inoko
Hidetoshi Inoko Tokai University
Yasukazu Nakamura
Yasukazu Nakamura National Institute of Genetics
Takashi Gojobori
Takashi Gojobori King Abdullah University of Science and Technology
Hirotada Mori
Hirotada Mori Nara Institute of Science and Technology
Nobuhisa Mizuki
Nobuhisa Mizuki Yokohama City University
Ken Kurokawa
Ken Kurokawa National Institute of Genetics
Norihiro Okada
Norihiro Okada National Cheng Kung University
Kuniya Abe
Kuniya Abe RIKEN

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Related Online Degrees & Career Pathways

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If you're considering advanced leadership roles, pursuing one of the most affordable MHA programs provides a way to develop administrative expertise in healthcare settings, complementing your genetic knowledge. Fast-paced learning is also an option—fasttrack medical programs allow you to quickly earn credentials and enter the workforce sooner.

For those who wish to specialize further or move into teaching and research, several doctorate in nursing education online programs offer flexibility and affordability, supporting your career growth in academia or clinical leadership. Exploring these pathways can help you find the perfect complement or next step to your genetics studies in the USA.

Best Scientists Citing Toshimichi Ikemura

Hidetoshi Inoko

Hidetoshi Inoko

Tokai University

Publications: 76

Tatsuo Fukagawa

Tatsuo Fukagawa

Osaka University

Publications: 64

Jerzy K. Kulski

Jerzy K. Kulski

University of Western Australia

Publications: 56

Feng Zhang

Feng Zhang

MIT

Publications: 48

Giorgio Bernardi

Giorgio Bernardi

University of Rome Tor Vergata

Publications: 40

Paul M. Sharp

Paul M. Sharp

University of Edinburgh

Publications: 35

Xuhua Xia

Xuhua Xia

University of Ottawa

Publications: 31

Tamir Tuller

Tamir Tuller

Tel Aviv University

Publications: 30

Antonin de Fougerolles

Antonin de Fougerolles

Alnylam Pharmaceuticals (United States)

Publications: 26

Shigehiko Kanaya

Shigehiko Kanaya

Nara Institute of Science and Technology

Publications: 26

William C. Earnshaw

William C. Earnshaw

University of Edinburgh

Publications: 24

Sidney Altman

Sidney Altman

Yale University

Publications: 23

Laurence D. Hurst

Laurence D. Hurst

University of Bath

Publications: 21

Masanori Kasahara

Masanori Kasahara

Hokkaido University

Publications: 21

Takeshi Itoh

Takeshi Itoh

Nara Institute of Science and Technology

Publications: 21

Adam Eyre-Walker

Adam Eyre-Walker

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Publications: 20

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