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Kenta Nakai

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 60 3118 2952 137 133 228 20212

Kenta Nakai publications per year

The chart shows the history of publications by Kenta Nakai between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kenta Nakai published across 38 years, from 1988 to 2025, averaging 7.8 papers a year. Output peaked at 20 publications in 2024. 30 of the 296 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2024. 1988: 2 publications 1989: 0 publications 1990: 1 publication 1991: 1 publication 1992: 2 publications 1993: 3 publications 1994: 5 publications 1995: 1 publication 1996: 2 publications 1997: 2 publications 1998: 7 publications 1999: 3 publications 2000: 6 publications 2001: 12 publications 2002: 12 publications 2003: 8 publications 2004: 17 publications 2005: 7 publications 2006: 7 publications 2007: 6 publications 2008: 11 publications 2009: 7 publications 2010: 14 publications 2011: 10 publications 2012: 9 publications 2013: 6 publications 2014: 8 publications 2015: 5 publications 2016: 15 publications 2017: 12 publications 2018: 11 publications 2019: 12 publications 2020: 10 publications 2021: 6 publications 2022: 9 publications 2023: 17 publications 2024: 20 publications 2025: 10 publications
1988 2025

296 publications in total across all disciplines

View publications per year as a table
Kenta Nakai: publications per year, 1988 to 2025
Year Publications
1988 2
1989 0
1990 1
1991 1
1992 2
1993 3
1994 5
1995 1
1996 2
1997 2
1998 7
1999 3
2000 6
2001 12
2002 12
2003 8
2004 17
2005 7
2006 7
2007 6
2008 11
2009 7
2010 14
2011 10
2012 9
2013 6
2014 8
2015 5
2016 15
2017 12
2018 11
2019 12
2020 10
2021 6
2022 9
2023 17
2024 20
2025 10
Total 296
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Kenta Nakai 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 Kenta Nakai 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, 225–234 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: 228 publications — 60th percentile

60% 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
225–234 143 228
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
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Kenta Nakai 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 Kenta Nakai 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, 60–61 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: 60 D-Index — 29th percentile

29% 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 60
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
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Overview

Kenta Nakai is affiliated with the University of Tokyo in Japan. Their research primarily focuses on the field of Biochemistry, Genetics and Molecular Biology, with a particular emphasis on Molecular Biology, Cancer Research, Genetics, Immunology, and Surgery. The scientist's work encompasses a broad range of topics, including:

  • Single-cell and spatial transcriptomics
  • RNA and protein synthesis mechanisms
  • Machine Learning in Bioinformatics
  • Genomics and Chromatin Dynamics
  • Gene expression and cancer classification
  • Epigenetics and DNA Methylation
  • Immune cells in cancer

The recent scholarly contributions by Kenta Nakai include several papers published between 2022 and 2023. Notable publications are:

  • "iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations" (2022), published in Genome Biology
  • "DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis" (2023), published in Nucleic Acids Research
  • "Predicting protein-peptide binding residues via interpretable deep learning" (2022), published in Bioinformatics
  • "Protein design via deep learning" (2022), published in Briefings in Bioinformatics
  • "scIMC: a platform for benchmarking comparison and visualization analysis of scRNA-seq data imputation methods" (2022), published in Nucleic Acids Research

Kenta Nakai frequently collaborates with a group of co-authors, among whom the most frequent are:

  • Sung-Joon Park
  • Martin Loza
  • Leyi Wei
  • Ruheng Wang
  • Weihang Zhang

The scientist's work appears regularly in several publication venues. These include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Briefings in Bioinformatics
  • Frontiers in Genetics
  • NAR Genomics and Bioinformatics
  • Nucleic Acids Research

Best Publications

  • A knowledge base for predicting protein localization sites in eukaryotic cells

    Kenta Nakai;Minoru Kanehisa

  • The Jmjd3-Irf4 axis regulates M2 macrophage polarization and host responses against helminth infection

    Takashi Satoh;Osamu Takeuchi;Alexis Vandenbon;Koubun Yasuda

  • Complete sequencing and characterization of 21,243 full-length human cDNAs

    Toshio Ota;Yutaka Suzuki;Tetsuo Nishikawa;Tetsuji Otsuki

  • Expert System for predicting protein localization sites in Gram-negative bacteria

    Kenta Nakai;Minoru Kanehisa

  • PrognoScan: a new database for meta-analysis of the prognostic value of genes

    Hideaki Mizuno;Hideaki Mizuno;Kunio Kitada;Kenta Nakai;Akinori Sarai

  • Extensive feature detection of N-terminal protein sorting signals.

    Hideo Bannai;Yoshinori Tamada;Osamu Maruyama;Kenta Nakai

  • T Cell Receptor Stimulation-Induced Epigenetic Changes and Foxp3 Expression Are Independent and Complementary Events Required for Treg Cell Development

    Naganari Ohkura;Naganari Ohkura;Masahide Hamaguchi;Masahide Hamaguchi;Hiromasa Morikawa;Hiromasa Morikawa;Kyoko Sugimura

  • Diversification of transcriptional modulation: Large-scale identification and characterization of putative alternative promoters of human genes

    Kouichi Kimura;Ai Wakamatsu;Yutaka Suzuki;Toshio Ota

  • PSORT-B: Improving protein subcellular localization prediction for Gram-negative bacteria.

    Jennifer L. Gardy;Cory Spencer;Ke Wang;Martin Ester

  • Assessment of prediction accuracy of protein function from protein–protein interaction data

    Haretsugu Hishigaki;Haretsugu Hishigaki;Kenta Nakai;Toshihide Ono;Akira Tanigami

  • DBTBS: a database of transcriptional regulation in Bacillus subtilis containing upstream intergenic conservation information

    Nicolas Sierro;Yuko Makita;Michiel J. L. de Hoon;Kenta Nakai

  • ATTED-II: a database of co-expressed genes and cis elements for identifying co-regulated gene groups in Arabidopsis

    Takeshi Obayashi;Kengo Kinoshita;Kenta Nakai;Masayuki Shibaoka

  • Integrative Annotation of 21,037 Human Genes Validated by Full-Length cDNA Clones

    Tadashi Imanishi;Takeshi Itoh;Yutaka Suzuki;Claire O'Donovan

  • Protein sorting signals and prediction of subcellular localization.

    Kenta Nakai

  • Cluster analysis of amino acid indices for prediction of protein structure and function.

    Kenta Nakai;Akinori Kidera;Minoru Kanehisa

  • PROTEIN SUBCELLULAR LOCALIZATION PREDICTION WITH WOLF PSORT

    Paul Horton;Keun-Joon Park;Keun-Joon Park;Takeshi Obayashi;Kenta Nakai

  • DBTSS: DataBase of human Transcriptional Start Sites and full-length cDNAs

    Yutaka Suzuki;Riu Yamashita;Kenta Nakai;Sumio Sugano

  • Prediction of Transcriptional Terminators in Bacillus subtilis and Related Species

    Michiel J. L. de Hoon;Yuko Makita;Kenta Nakai;Satoru Miyano

  • DBTSS: DataBase of Human Transcription Start Sites, progress report 2006

    Riu Yamashita;Yutaka Suzuki;Hiroyuki Wakaguri;Katsuki Tsuritani

  • Encyclopedia of bioinformatics and computational biology

    Shoba Ranganathan;Michael Gribskov;Kenta Nakai;Christian Schönbach

Frequent Co-Authors

Yutaka Suzuki
Yutaka Suzuki University of Tokyo
Sumio Sugano
Sumio Sugano University of Tokyo
Satoru Miyano
Satoru Miyano Tokyo Medical and Dental University
Toshihisa Takagi
Toshihisa Takagi University of Tokyo
Takashi Gojobori
Takashi Gojobori King Abdullah University of Science and Technology
Shoba Ranganathan
Shoba Ranganathan Macquarie University
Hitomi Mimuro
Hitomi Mimuro Osaka University
Kengo Kinoshita
Kengo Kinoshita Tohoku University
Piero Carninci
Piero Carninci RIKEN
Minoru Kanehisa
Minoru Kanehisa Kyoto University

External Links

Personal website of Kenta Nakai

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Related Online Degrees & Career Pathways

Studying Genetics opens the door to a range of online degree pathways and career options in healthcare and research. Many students start with foundational programs such as financial aid for medical billing and coding online classes, which provide a flexible entry point into the medical field and can lead to important administrative roles.

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Best Scientists Citing Kenta Nakai

Yutaka Suzuki

Yutaka Suzuki

University of Tokyo

Publications: 94

Kuo-Chen Chou

Kuo-Chen Chou

The Gordon Life Science Institute

Publications: 75

Sumio Sugano

Sumio Sugano

University of Tokyo

Publications: 59

Shimon Sakaguchi

Shimon Sakaguchi

Osaka University

Publications: 50

Takashi Gojobori

Takashi Gojobori

King Abdullah University of Science and Technology

Publications: 50

Yoshihide Hayashizaki

Yoshihide Hayashizaki

RIKEN

Publications: 45

Burkhard Rost

Burkhard Rost

Technical University of Munich

Publications: 38

Hong-Bin Shen

Hong-Bin Shen

Shanghai Jiao Tong University

Publications: 35

Piero Carninci

Piero Carninci

RIKEN

Publications: 33

Silvio Arruda Vasconcellos

Silvio Arruda Vasconcellos

Universidade de São Paulo

Publications: 32

Yu-Dong Cai

Yu-Dong Cai

Shanghai University

Publications: 29

Kazuki Saito

Kazuki Saito

RIKEN

Publications: 27

Bernard Henrissat

Bernard Henrissat

Technical University of Denmark

Publications: 26

Shoba Ranganathan

Shoba Ranganathan

Macquarie University

Publications: 26

Ying Xu

Ying Xu

University of Georgia

Publications: 24

Takeshi Itoh

Takeshi Itoh

Nara Institute of Science and Technology

Publications: 23

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