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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Molecular Biology 69 1474 1319 115 104 227 16923

Hiromi Sakamoto publications per year

The chart shows the history of publications by Hiromi Sakamoto between 1981 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hiromi Sakamoto published across 45 years, from 1981 to 2025, averaging 6.8 papers a year. Output peaked at 64 publications in 2023. 4 of the 308 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1981 to 2025. Vertical axis: number of publications, 0 to 64. Peak 64 publications in 2023. 1981: 1 publication 1982: 2 publications 1983: 4 publications 1984: 2 publications 1985: 2 publications 1986: 8 publications 1987: 6 publications 1988: 9 publications 1989: 3 publications 1990: 6 publications 1991: 7 publications 1992: 7 publications 1993: 2 publications 1994: 6 publications 1995: 4 publications 1996: 2 publications 1997: 4 publications 1998: 1 publication 1999: 4 publications 2000: 3 publications 2001: 0 publications 2002: 6 publications 2003: 6 publications 2004: 5 publications 2005: 4 publications 2006: 5 publications 2007: 5 publications 2008: 7 publications 2009: 10 publications 2010: 6 publications 2011: 6 publications 2012: 9 publications 2013: 7 publications 2014: 12 publications 2015: 13 publications 2016: 8 publications 2017: 10 publications 2018: 9 publications 2019: 15 publications 2020: 5 publications 2021: 7 publications 2022: 2 publications 2023: 64 publications 2024: 3 publications 2025: 1 publication
1981 2025

308 publications in total across all disciplines

View publications per year as a table
Hiromi Sakamoto: publications per year, 1981 to 2025
Year Publications
1981 1
1982 2
1983 4
1984 2
1985 2
1986 8
1987 6
1988 9
1989 3
1990 6
1991 7
1992 7
1993 2
1994 6
1995 4
1996 2
1997 4
1998 1
1999 4
2000 3
2001 0
2002 6
2003 6
2004 5
2005 4
2006 5
2007 5
2008 7
2009 10
2010 6
2011 6
2012 9
2013 7
2014 12
2015 13
2016 8
2017 10
2018 9
2019 15
2020 5
2021 7
2022 2
2023 64
2024 3
2025 1
Total 308
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Hiromi Sakamoto publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Hiromi Sakamoto sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 53 bars. Horizontal axis: publications, 47–56 to 564+. Vertical axis: number of scientists, 0 to 177. Most scientists, 177, have 117–126 publications. The last bar groups every scientist with 564 publications or more. The highlighted bar, 227–236 publications, is where this scientist sits. 47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47–56 publications 564+

This scientist: 227 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

View publications distribution as a table
Number of Molecular Biology scientists by publication count, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
Publications Scientists This scientist
47–56 7
57–66 17
67–76 65
77–86 90
87–96 125
97–106 131
107–116 162
117–126 177
127–136 158
137–146 158
147–156 146
157–166 159
167–176 131
177–186 110
187–196 112
197–206 100
207–216 89
217–226 98
227–236 74 227
237–246 72
247–256 63
257–266 53
267–276 54
277–286 49
287–296 52
297–306 43
307–316 46
317–326 41
327–336 42
337–346 31
347–356 28
357–366 29
367–376 26
377–386 24
387–396 24
397–406 14
407–416 13
417–426 20
427–436 12
437–446 20
447–456 11
457–466 10
467–476 14
477–486 14
487–496 10
497–506 13
507–516 13
517–526 2
527–536 4
537–546 6
547–556 8
557–563 6
564+ 100
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Hiromi Sakamoto D-index placement in Molecular Biology in 2026

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

No. of scientists
25 50 75 100 125
Bar chart with 54 bars. Horizontal axis: D-Index, 40–41 to 145+. Vertical axis: number of scientists, 0 to 131. Most scientists, 131, have 64–65 D-Index. The last bar groups every scientist with 145 D-Index or more. The highlighted bar, 68–69 D-Index, is where this scientist sits. 40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40–41 D-Index 145+

This scientist: 69 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

View D-Index distribution as a table
Number of Molecular Biology scientists by D-index, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
D-Index Scientists This scientist
40–41 36
42–43 101
44–45 115
46–47 121
48–49 118
50–51 130
52–53 106
54–55 116
56–57 113
58–59 129
60–61 120
62–63 105
64–65 131
66–67 95
68–69 97 69
70–71 106
72–73 83
74–75 89
76–77 77
78–79 70
80–81 73
82–83 60
84–85 48
86–87 45
88–89 50
90–91 31
92–93 51
94–95 43
96–97 38
98–99 39
100–101 41
102–103 29
104–105 33
106–107 35
108–109 20
110–111 38
112–113 19
114–115 28
116–117 13
118–119 23
120–121 16
122–123 15
124–125 11
126–127 21
128–129 7
130–131 13
132–133 14
134–135 17
136–137 9
138–139 8
140–141 16
142–143 7
144 7
145+ 100
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Overview

Hiromi Sakamoto is affiliated with the National Cancer Research Institute, UK, and has an active role in research primarily situated in the United Kingdom. Their academic contributions span a broad set of topics within the fields of Biochemistry, Genetics and Molecular Biology, as well as Medicine.

Their research engages deeply with subfields including Molecular Biology, Cancer Research, Genetics, Pathology and Forensic Medicine, and Oncology. The main topics addressed in their work are:

  • MicroRNA in disease regulation
  • Genetic factors in colorectal cancer
  • Cancer-related molecular mechanisms research
  • RNA modifications and cancer
  • Cancer Genomics and Diagnostics
  • Circular RNAs in diseases
  • RNA Research and Splicing

Notable recent papers authored or co-authored by Hiromi Sakamoto include:

  • "A miRNA-based diagnostic model predicts resectable lung cancer in humans with high accuracy," 2020, Communications Biology
  • "Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer," 2021, Genome biology
  • "Genome-wide association meta-analysis identifies GP2 gene risk variants for pancreatic cancer," 2020, Nature Communications
  • "A novel combination of serum microRNAs for the detection of early gastric cancer," 2021, Gastric Cancer
  • "Prediction of tissue-of-origin of early stage cancers using serum miRNomes," 2022, JNCI Cancer Spectrum

Frequent co-authors in their research activities are:

  • Makoto Hirata
  • Teruhiko Yoshida
  • Ken Kato
  • Mineko Ushiama
  • Noriko Tanabe

Publication venues where Hiromi Sakamoto is frequently published include:

  • Scientific Reports
  • Research Square (Research Square)
  • Communications Biology
  • Genome biology
  • Gastric Cancer

The body of work produced by Hiromi Sakamoto reflects a focus on molecular and genetic mechanisms of cancer, broadly integrating biochemical research and clinical medicine. Their investigation into microRNAs and RNA splicing touches on emerging biomarkers and diagnostic tools, illustrating their role within evolving cancer research methodologies.

Best Publications

  • KIF5B-RET fusions in lung adenocarcinoma.

    Takashi Kohno;Hitoshi Ichikawa;Yasushi Totoki;Kazuki Yasuda

  • Epidermal Growth Factor Receptor Gene Mutations and Increased Copy Numbers Predict Gefitinib Sensitivity in Patients With Recurrent Non–Small-Cell Lung Cancer

    Toshimi Takano;Yuichiro Ohe;Hiromi Sakamoto;Koji Tsuta

  • Identification of genes upregulated in ALK-positive and EGFR/KRAS/ALK-negative lung adenocarcinomas.

    Hirokazu Okayama;Takashi Kohno;Yuko Ishii;Yoko Shimada

  • Genetic variation in PSCA is associated with susceptibility to diffuse-type gastric cancer.

    Hiromi Sakamoto;Kimio Yoshimura;Norihisa Saeki

  • cDNA sequence of human transforming gene hst and identification of the coding sequence required for transforming activity.

    Masanori Taira;Teruhiko Yoshida;Kiyoshi Miyagawa;Hiromi Sakamoto

  • K-sam, an amplified gene in stomach cancer, is a member of the heparin-binding growth factor receptor genes.

    Yutaka Hattori;Hiroki Odagiri;Hiroshi Nakatani;Kiyoshi Miyagawa

  • Transforming gene from human stomach cancers and a noncancerous portion of stomach mucosa.

    Hiromi Sakamoto;Midori Mori;Masanori Taira;Teruhiko Yoshida

  • Genomic sequence of hst, a transforming gene encoding a protein homologous to fibroblast growth factors and the int-2-encoded protein.

    Teruhiko Yoshida;Kiyoshi Miyagawa;Hiroki Odagiri;Hiromi Sakamoto

  • High-resolution characterization of a hepatocellular carcinoma genome

    Yasushi Totoki;Kenji Tatsuno;Shogo Yamamoto;Yasuhito Arai

  • Genetic alterations of the c-erbB-2 oncogene occur frequently in tubular adenocarcinoma of the stomach and are often accompanied by amplification of the v-erbA homologue.

    Yokota J;Yamamoto T;Miyajima N;Toyoshima K

  • Novel combination of serum microRNA for detecting breast cancer in the early stage

    Akihiko Shimomura;Sho Shiino;Junpei Kawauchi;Satoko Takizawa

  • Distinctive expression and function of four GSDM family genes (GSDMA-D) in normal and malignant upper gastrointestinal epithelium.

    Norihisa Saeki;Takebumi Usui;Kazuhiko Aoyagi;Dal Ho Kim

  • Integrated extracellular microRNA profiling for ovarian cancer screening

    Akira Yokoi;Juntaro Matsuzaki;Yusuke Yamamoto;Yutaka Yoneoka

  • ZNF384-related fusion genes define a subgroup of childhood B-cell precursor acute lymphoblastic leukemia with a characteristic immunotype

    Shinsuke Hirabayashi;Kentaro Ohki;Kazuhiko Nakabayashi;Hitoshi Ichikawa

  • High incidence of coamplification of hst-1 and int-2 genes in human esophageal carcinomas.

    Toshitaka Tsuda;Eiichi Tahara;Goro Kajiyama;Hiromi Sakamoto

  • Discovery of Aberrant Expression of R-RAS by Cancer-Linked DNA Hypomethylation in Gastric Cancer Using Microarrays

    Michiko Nishigaki;Kazuhiko Aoyagi;Inaho Danjoh;Masahide Fukaya

  • Druggable Oncogene Fusions in Invasive Mucinous Lung Adenocarcinoma

    Takashi Nakaoku;Koji Tsuta;Hitoshi Ichikawa;Kouya Shiraishi

  • Detection of EGFR mutations in archived cytologic specimens of non-small cell lung cancer using high-resolution melting analysis.

    Kiyoaki Nomoto;Koji Tsuta;Toshimi Takano;Tomoya Fukui

  • Frequent and preferential infection of Treponema denticola, Streptococcus mitis, and Streptococcus anginosus in esophageal cancers.

    Michihiro Narikiyo;Chikako Tanabe;Yukishige Yamada;Hiroyasu Igaki

  • Immunohistochemical detection of K-sam protein in stomach cancer.

    Yutaka Hattori;Hiroshi Itoh;Shinya Uchino;Kouichi Hosokawa

Frequent Co-Authors

Teruhiko Yoshida
Teruhiko Yoshida National Cancer Research Institute, UK
Masaaki Terada
Masaaki Terada National Cancer Research Institute, UK
Takashi Sugimura
Takashi Sugimura National Cancer Centre
Takahiro Ochiya
Takahiro Ochiya Tokyo Medical University
Hiroki Sasaki
Hiroki Sasaki National Cancer Centre
Jun Yokota
Jun Yokota National Cancer Centre
Takashi Kohno
Takashi Kohno National Cancer Centre
Koji Tsuta
Koji Tsuta Kansai Medical University
Shoichiro Tsugane
Shoichiro Tsugane International University of Health and Welfare
Yae Kanai
Yae Kanai Keio University

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