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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 78 1722 1638 64 60 306 17994

Issei Imoto publications per year

The chart shows the history of publications by Issei Imoto between 1997 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Issei Imoto published across 30 years, from 1997 to 2026, averaging 15.2 papers a year. Output peaked at 121 publications in 2023. 4 of the 456 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 1997 to 2026. Vertical axis: number of publications, 0 to 121. Peak 121 publications in 2023. 1997: 1 publication 1998: 1 publication 1999: 1 publication 2000: 7 publications 2001: 12 publications 2002: 8 publications 2003: 8 publications 2004: 12 publications 2005: 15 publications 2006: 8 publications 2007: 23 publications 2008: 17 publications 2009: 16 publications 2010: 20 publications 2011: 14 publications 2012: 14 publications 2013: 10 publications 2014: 14 publications 2015: 24 publications 2016: 24 publications 2017: 23 publications 2018: 13 publications 2019: 9 publications 2020: 12 publications 2021: 10 publications 2022: 9 publications 2023: 121 publications 2024: 6 publications 2025: 3 publications 2026: 1 publication
1997 2026

456 publications in total across all disciplines

View publications per year as a table
Issei Imoto: publications per year, 1997 to 2026
Year Publications
1997 1
1998 1
1999 1
2000 7
2001 12
2002 8
2003 8
2004 12
2005 15
2006 8
2007 23
2008 17
2009 16
2010 20
2011 14
2012 14
2013 10
2014 14
2015 24
2016 24
2017 23
2018 13
2019 9
2020 12
2021 10
2022 9
2023 121
2024 6
2025 3
2026 1
Total 456
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Issei Imoto 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 Issei Imoto 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, 305–314 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: 306 publications — 77th percentile

77% 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
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 75 306
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
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Issei Imoto 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 Issei Imoto 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, 78–79 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: 78 D-Index — 62nd percentile

62% 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
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 78
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
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Overview

Issei Imoto is affiliated with the University of Tokushima in Japan and specializes in research at the intersection of biochemistry, genetics, molecular biology, and medicine. Their work primarily focuses on genetics and molecular biology, with subfields including pathology and forensic medicine, cancer research, and oncology.

The scientist's research covers several main topics, including:

  • Cancer Genomics and Diagnostics
  • BRCA gene mutations in cancer
  • Genetic Associations and Epidemiology
  • Genetic factors in colorectal cancer
  • Genomics and Rare Diseases
  • RNA modifications and cancer
  • Genomic variations and chromosomal abnormalities

Issei Imoto has published extensively, with notable recent papers including:

  • Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases, 2020, Nature Genetics
  • Helicobacter pylori, Homologous-Recombination Genes, and Gastric Cancer, 2023, New England Journal of Medicine
  • Genome-wide association meta-analysis identifies GP2 gene risk variants for pancreatic cancer, 2020, Nature Communications
  • Functions of Breast Cancer Predisposition Genes: Implications for Clinical Management, 2022, International Journal of Molecular Sciences
  • Six years' accomplishment of the Initiative on Rare and Undiagnosed Diseases: nationwide project in Japan to discover causes, mechanisms, and cures, 2022, Journal of Human Genetics

Their frequent co-authors include Keitaro Matsuo, Hidemi Ito, Yuriko N. Koyanagi, Isao Oze, and Yumiko Kasugai.

Issei Imoto's research appears regularly in several scientific venues, with multiple publications in journals such as:

  • Human Genome Variation
  • Journal of Human Genetics
  • Scientific Reports
  • Genes
  • Cancer Science

Best Publications

  • Exploration of tumor-suppressive microRNAs silenced by DNA hypermethylation in oral cancer.

    Ken Ichi Kozaki;Issei Imoto;Seiki Mogi;Ken Omura

  • miR-124 and miR-203 are epigenetically silenced tumor-suppressive microRNAs in hepatocellular carcinoma

    Mayuko Furuta;Ken Ich Kozaki;Shinji Tanaka;Shigeki Arii

  • Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases

    Kazuyoshi Ishigaki;Kazuyoshi Ishigaki;Masato Akiyama;Masahiro Kanai;Masahiro Kanai;Atsushi Takahashi

  • Clinical heterogeneity of α‐synuclein gene duplication in Parkinson's disease

    Kenya Nishioka;Shin Hayashi;Matthew J. Farrer;Andrew B. Singleton

  • Sex hormone-dependent tRNA halves enhance cell proliferation in breast and prostate cancers

    Shozo Honda;Phillipe Loher;Megumi Shigematsu;Juan P. Palazzo

  • PPM1D is a potential target for 17q gain in neuroblastoma

    Fumiko Saito-Ohara;Issei Imoto;Jun Inoue;Hajime Hosoi

  • The tumor suppressive microRNA miR-218 targets the mTOR component rictor and inhibits AKT phosphorylation in oral cancer

    Atsushi Uesugi;Ken Ichi Kozaki;Tomohiko Tsuruta;Mayuko Furuta

  • miR-152 is a tumor suppressor microRNA that is silenced by DNA hypermethylation in endometrial cancer

    Tomohiko Tsuruta;Ken Ichi Kozaki;Atsushi Uesugi;Mayuko Furuta

  • Alteration in copy numbers of genes as a mechanism for acquired drug resistance.

    Kohichiroh Yasui;Saori Mihara;Chen Zhao;Hiroyuki Okamoto

  • Identification of cIAP1 as a candidate target gene within an amplicon at 11q22 in esophageal squamous cell carcinomas.

    Issei Imoto;Zeng-Quan Yang;Atiphan Pimkhaokham;Hitoshi Tsuda

  • Identification of a Novel Gene, GASC1, within an Amplicon at 9p23–24 Frequently Detected in Esophageal Cancer Cell Lines

    Zeng-Quan Yang;Issei Imoto;Yoji Fukuda;Atiphan Pimkhaokham

  • YAP is a candidate oncogene for esophageal squamous cell carcinoma

    Tomoki Muramatsu;Issei Imoto;Issei Imoto;Takeshi Matsui;Ken Ichi Kozaki

  • Obesity-induced DNA released from adipocytes stimulates chronic adipose tissue inflammation and insulin resistance

    Sachiko Nishimoto;Daiju Fukuda;Yasutomi Higashikuni;Kimie Tanaka

  • Association of 17q21-q24 gain in ovarian clear cell adenocarcinomas with poor prognosis and identification of PPM1D and APPBP2 as likely amplification targets.

    Akira Hirasawa;Fumiko Saito-Ohara;Jun Inoue;Jun Inoue;Daisuke Aoki

  • Overexpression of SMYD2 relates to tumor cell proliferation and malignant outcome of esophageal squamous-cell carcinoma

    Shuhei Komatsu;Issei Imoto;Hitoshi Tsuda;Hitoshi Tsuda;Ken Ich Kozaki

  • TFDP1, CUL4A, and CDC16 identified as targets for amplification at 13q34 in hepatocellular carcinomas.

    Kohichiroh Yasui;Shigeki Arii;Chen Zhao;Issei Imoto

  • PIK3CA mutation is an oncogenic aberration at advanced stages of oral squamous cell carcinoma.

    Ken Ichi Kozaki;Issei Imoto;Atiphan Pimkhaokham;Shogo Hasegawa

  • Genome-wide array-based comparative genomic hybridization analysis of pancreatic adenocarcinoma: Identification of genetic indicators that predict patient outcome

    Panayiotis Loukopoulos;Tatsuhiro Shibata;Hiroto Katoh;Akiko Kokubu

  • Frequent Silencing of Low Density Lipoprotein Receptor-Related Protein 1B (LRP1B) Expression by Genetic and Epigenetic Mechanisms in Esophageal Squamous Cell Carcinoma

    Itaru Sonoda;Issei Imoto;Jun Inoue;Tatsuhiro Shibata

  • Monitoring the HER2 copy number status in circulating tumor DNA by droplet digital PCR in patients with gastric cancer

    Katsutoshi Shoda;Katsutoshi Shoda;Daisuke Ichikawa;Yuji Fujita;Yuji Fujita;Kiyoshi Masuda

Frequent Co-Authors

Johji Inazawa
Johji Inazawa Tokyo Medical and Dental University
Atsushi Tajima
Atsushi Tajima Kanazawa University
Hitoshi Tsuda
Hitoshi Tsuda National Defense Medical College
Setsuo Hirohashi
Setsuo Hirohashi National Cancer Research Institute, UK
Tatsuhiro Shibata
Tatsuhiro Shibata University of Tokyo
Fumie Hosoda
Fumie Hosoda National Cancer Centre
Yutaka Shimada
Yutaka Shimada Kyoto University
Yae Kanai
Yae Kanai Keio University
Makoto Kinoshita
Makoto Kinoshita University of Tokushima
Akira Hirasawa
Akira Hirasawa Okayama University

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