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Takeshi Noda

Takeshi Noda

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Microbiology 79 1189 1068 29 25 211 52435

Takeshi Noda publications per year

The chart shows the history of publications by Takeshi Noda between 1987 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Takeshi Noda published across 40 years, from 1987 to 2026, averaging 8.2 papers a year. Output peaked at 25 publications in 2021. 16 of the 329 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1987 to 2026. Vertical axis: number of publications, 0 to 25. Peak 25 publications in 2021. 1987: 1 publication 1988: 1 publication 1989: 2 publications 1990: 0 publications 1991: 2 publications 1992: 2 publications 1993: 2 publications 1994: 0 publications 1995: 3 publications 1996: 3 publications 1997: 6 publications 1998: 10 publications 1999: 3 publications 2000: 12 publications 2001: 9 publications 2002: 4 publications 2003: 6 publications 2004: 4 publications 2005: 9 publications 2006: 8 publications 2007: 8 publications 2008: 12 publications 2009: 12 publications 2010: 12 publications 2011: 15 publications 2012: 12 publications 2013: 9 publications 2014: 13 publications 2015: 5 publications 2016: 11 publications 2017: 15 publications 2018: 18 publications 2019: 11 publications 2020: 15 publications 2021: 25 publications 2022: 13 publications 2023: 7 publications 2024: 13 publications 2025: 12 publications 2026: 4 publications
1987 2026

329 publications in total across all disciplines

View publications per year as a table
Takeshi Noda: publications per year, 1987 to 2026
Year Publications
1987 1
1988 1
1989 2
1990 0
1991 2
1992 2
1993 2
1994 0
1995 3
1996 3
1997 6
1998 10
1999 3
2000 12
2001 9
2002 4
2003 6
2004 4
2005 9
2006 8
2007 8
2008 12
2009 12
2010 12
2011 15
2012 12
2013 9
2014 13
2015 5
2016 11
2017 15
2018 18
2019 11
2020 15
2021 25
2022 13
2023 7
2024 13
2025 12
2026 4
Total 329
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Takeshi Noda publication distribution in Microbiology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Microbiology in 2026. The highlighted bar marks where Takeshi Noda sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 64 bars. Horizontal axis: publications, 55–64 to 679+. Vertical axis: number of scientists, 0 to 288. Most scientists, 288, have 135–144 publications. The last bar groups every scientist with 679 publications or more. The highlighted bar, 205–214 publications, is where this scientist sits. 55–64 publications: 8 scientists 65–74 publications: 29 scientists 75–84 publications: 55 scientists 85–94 publications: 112 scientists 95–104 publications: 137 scientists 105–114 publications: 190 scientists 115–124 publications: 235 scientists 125–134 publications: 234 scientists 135–144 publications: 288 scientists 145–154 publications: 265 scientists 155–164 publications: 264 scientists 165–174 publications: 253 scientists 175–184 publications: 276 scientists 185–194 publications: 190 scientists 195–204 publications: 234 scientists 205–214 publications: 208 scientists 215–224 publications: 198 scientists 225–234 publications: 155 scientists 235–244 publications: 161 scientists 245–254 publications: 160 scientists 255–264 publications: 146 scientists 265–274 publications: 139 scientists 275–284 publications: 148 scientists 285–294 publications: 115 scientists 295–304 publications: 96 scientists 305–314 publications: 88 scientists 315–324 publications: 106 scientists 325–334 publications: 65 scientists 335–344 publications: 76 scientists 345–354 publications: 64 scientists 355–364 publications: 62 scientists 365–374 publications: 65 scientists 375–384 publications: 61 scientists 385–394 publications: 34 scientists 395–404 publications: 44 scientists 405–414 publications: 36 scientists 415–424 publications: 35 scientists 425–434 publications: 29 scientists 435–444 publications: 33 scientists 445–454 publications: 34 scientists 455–464 publications: 25 scientists 465–474 publications: 26 scientists 475–484 publications: 20 scientists 485–494 publications: 19 scientists 495–504 publications: 16 scientists 505–514 publications: 17 scientists 515–524 publications: 23 scientists 525–534 publications: 14 scientists 535–544 publications: 14 scientists 545–554 publications: 18 scientists 555–564 publications: 12 scientists 565–574 publications: 7 scientists 575–584 publications: 9 scientists 585–594 publications: 9 scientists 595–604 publications: 9 scientists 605–614 publications: 7 scientists 615–624 publications: 9 scientists 625–634 publications: 7 scientists 635–644 publications: 4 scientists 645–654 publications: 5 scientists 655–664 publications: 6 scientists 665–674 publications: 7 scientists 675–678 publications: 3 scientists 679+ publications: 99 scientists
55–64 publications 679+

This scientist: 211 publications — 53rd percentile

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

The last bar groups every scientist with 679 publications or more.

View publications distribution as a table
Number of Microbiology scientists by publication count, Research.com 2026 ranking edition. Based on 5,513 ranked scientists.
Publications Scientists This scientist
55–64 8
65–74 29
75–84 55
85–94 112
95–104 137
105–114 190
115–124 235
125–134 234
135–144 288
145–154 265
155–164 264
165–174 253
175–184 276
185–194 190
195–204 234
205–214 208 211
215–224 198
225–234 155
235–244 161
245–254 160
255–264 146
265–274 139
275–284 148
285–294 115
295–304 96
305–314 88
315–324 106
325–334 65
335–344 76
345–354 64
355–364 62
365–374 65
375–384 61
385–394 34
395–404 44
405–414 36
415–424 35
425–434 29
435–444 33
445–454 34
455–464 25
465–474 26
475–484 20
485–494 19
495–504 16
505–514 17
515–524 23
525–534 14
535–544 14
545–554 18
555–564 12
565–574 7
575–584 9
585–594 9
595–604 9
605–614 7
615–624 9
625–634 7
635–644 4
645–654 5
655–664 6
665–674 7
675–678 3
679+ 99
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Takeshi Noda D-index placement in Microbiology in 2026

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

No. of scientists
50 100 150
Bar chart with 88 bars. Horizontal axis: D-Index, 40 to 127+. Vertical axis: number of scientists, 0 to 162. Most scientists, 162, have 58 D-Index. The last bar groups every scientist with 127 D-Index or more. The highlighted bar, 79 D-Index, is where this scientist sits. 40 D-Index: 30 scientists 41 D-Index: 86 scientists 42 D-Index: 90 scientists 43 D-Index: 117 scientists 44 D-Index: 122 scientists 45 D-Index: 123 scientists 46 D-Index: 108 scientists 47 D-Index: 110 scientists 48 D-Index: 106 scientists 49 D-Index: 109 scientists 50 D-Index: 129 scientists 51 D-Index: 111 scientists 52 D-Index: 116 scientists 53 D-Index: 127 scientists 54 D-Index: 134 scientists 55 D-Index: 134 scientists 56 D-Index: 112 scientists 57 D-Index: 136 scientists 58 D-Index: 162 scientists 59 D-Index: 151 scientists 60 D-Index: 139 scientists 61 D-Index: 123 scientists 62 D-Index: 126 scientists 63 D-Index: 144 scientists 64 D-Index: 109 scientists 65 D-Index: 103 scientists 66 D-Index: 124 scientists 67 D-Index: 112 scientists 68 D-Index: 103 scientists 69 D-Index: 131 scientists 70 D-Index: 94 scientists 71 D-Index: 93 scientists 72 D-Index: 96 scientists 73 D-Index: 92 scientists 74 D-Index: 80 scientists 75 D-Index: 66 scientists 76 D-Index: 87 scientists 77 D-Index: 60 scientists 78 D-Index: 73 scientists 79 D-Index: 59 scientists 80 D-Index: 57 scientists 81 D-Index: 55 scientists 82 D-Index: 47 scientists 83 D-Index: 77 scientists 84 D-Index: 50 scientists 85 D-Index: 45 scientists 86 D-Index: 42 scientists 87 D-Index: 41 scientists 88 D-Index: 32 scientists 89 D-Index: 38 scientists 90 D-Index: 35 scientists 91 D-Index: 34 scientists 92 D-Index: 27 scientists 93 D-Index: 26 scientists 94 D-Index: 33 scientists 95 D-Index: 22 scientists 96 D-Index: 37 scientists 97 D-Index: 22 scientists 98 D-Index: 21 scientists 99 D-Index: 22 scientists 100 D-Index: 30 scientists 101 D-Index: 16 scientists 102 D-Index: 20 scientists 103 D-Index: 17 scientists 104 D-Index: 19 scientists 105 D-Index: 16 scientists 106 D-Index: 19 scientists 107 D-Index: 18 scientists 108 D-Index: 14 scientists 109 D-Index: 10 scientists 110 D-Index: 9 scientists 111 D-Index: 7 scientists 112 D-Index: 11 scientists 113 D-Index: 6 scientists 114 D-Index: 15 scientists 115 D-Index: 10 scientists 116 D-Index: 12 scientists 117 D-Index: 7 scientists 118 D-Index: 10 scientists 119 D-Index: 10 scientists 120 D-Index: 11 scientists 121 D-Index: 2 scientists 122 D-Index: 7 scientists 123 D-Index: 12 scientists 124 D-Index: 5 scientists 125 D-Index: 9 scientists 126 D-Index: 6 scientists 127+ D-Index: 95 scientists
40 D-Index 127+

This scientist: 79 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 127 D-Index or more.

View D-Index distribution as a table
Number of Microbiology scientists by D-index, Research.com 2026 ranking edition. Based on 5,513 ranked scientists.
D-Index Scientists This scientist
40 30
41 86
42 90
43 117
44 122
45 123
46 108
47 110
48 106
49 109
50 129
51 111
52 116
53 127
54 134
55 134
56 112
57 136
58 162
59 151
60 139
61 123
62 126
63 144
64 109
65 103
66 124
67 112
68 103
69 131
70 94
71 93
72 96
73 92
74 80
75 66
76 87
77 60
78 73
79 59 79
80 57
81 55
82 47
83 77
84 50
85 45
86 42
87 41
88 32
89 38
90 35
91 34
92 27
93 26
94 33
95 22
96 37
97 22
98 21
99 22
100 30
101 16
102 20
103 17
104 19
105 16
106 19
107 18
108 14
109 10
110 9
111 7
112 11
113 6
114 15
115 10
116 12
117 7
118 10
119 10
120 11
121 2
122 7
123 12
124 5
125 9
126 6
127+ 95
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Overview

Takeshi Noda is a researcher affiliated with Kyoto University in Japan. Their primary field of study spans Medicine and Biochemistry, Genetics and Molecular Biology, with a notable focus on Infectious Diseases, Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, and Immunology. This multidisciplinary engagement reflects a broad interest in medical and molecular research areas.

Their main research topics include:

  • Viral Infections and Outbreaks Research
  • SARS-CoV-2 and COVID-19 Research
  • Viral gastroenteritis research and epidemiology
  • Viral Infections and Vectors
  • Influenza Virus Research Studies
  • CRISPR and Genetic Engineering
  • RNA and protein synthesis mechanisms

Takeshi Noda has contributed to multiple recent scientific publications. Some of their notable published papers are:

  • Extracellular nanovesicles for packaging of CRISPR-Cas9 protein and sgRNA to induce therapeutic exon skipping, 2020, published in Nature Communications
  • Amplification-free RNA detection with CRISPR-Cas13, 2021, published in Communications Biology
  • Structure of SARS-CoV-2 membrane protein essential for virus assembly, 2022, published in Nature Communications
  • Structure of the bile acid transporter and HBV receptor NTCP, 2022, published in Nature
  • SARS-CoV-2 disrupts respiratory vascular barriers by suppressing Claudin-5 expression, 2022, published in Science Advances

Their frequent co-authors include Yukiko Muramoto, Masahiro Nakano, Yoko Fujita, Kazuo Takayama, and Yukihiko Sugita. Collaboration with these researchers suggests involvement in a variety of interdisciplinary projects resulting in significant scientific output.

Takeshi Noda's work has appeared in a range of scientific venues with high frequency in bioRxiv (Cold Spring Harbor Laboratory), Nature Communications, Journal of Virology, Communications Biology, and mBio. This spread indicates a consistent presence in both preprint and peer-reviewed journals relevant to molecular biology and virology.

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

    Daniel J. Klionsky;Amal Kamal Abdel-Aziz;Sara Abdelfatah;Mahmoud Abdellatif

  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

    Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

  • Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotes

    Daniel J. Klionsky;Hagai Abeliovich;Patrizia Agostinis;Devendra K. Agrawal

  • Emergence and pandemic potential of swine-origin H1N1 influenza virus.

    Gabriele Neumann;Takeshi Noda;Yoshihiro Kawaoka

  • In vitro and in vivo characterization of new swine-origin H1N1 influenza viruses

    Yasushi Itoh;Kyoko Shinya;Maki Kiso;Tokiko Watanabe

  • A subdomain of the endoplasmic reticulum forms a cradle for autophagosome formation

    Mitsuko Hayashi-Nishino;Naonobu Fujita;Takeshi Noda;Akihito Yamaguchi

  • Atg9a controls dsDNA-driven dynamic translocation of STING and the innate immune response

    Tatsuya Saitoh;Naonobu Fujita;Takuya Hayashi;Keigo Takahara

  • Ebolavirus is internalized into host cells via macropinocytosis in a viral glycoprotein-dependent manner

    Asuka Nanbo;Masaki Imai;Shinji Watanabe;Takeshi Noda

  • Architecture of ribonucleoprotein complexes in influenza A virus particles

    Takeshi Noda;Hiroshi Sagara;Albert Yen;Ayato Takada;Ayato Takada

  • Ebola Virus VP40 Drives the Formation of Virus-Like Filamentous Particles Along with GP

    Takeshi Noda;Hiroshi Sagara;Emiko Suzuki;Ayato Takada

  • Characterization of H7N9 influenza A viruses isolated from humans

    Tokiko Watanabe;Maki Kiso;Satoshi Fukuyama;Noriko Nakajima

  • Inhibition of Lassa and Marburg Virus Production by Tetherin

    Toshie Sakuma;Takeshi Noda;Shuzo Urata;Yoshihiro Kawaoka;Yoshihiro Kawaoka

  • Strand-specific real-time RT-PCR for distinguishing influenza vRNA, cRNA, and mRNA

    Eiryo Kawakami;Tokiko Watanabe;Ken Fujii;Hideo Goto

  • Extracellular nanovesicles for packaging of CRISPR-Cas9 protein and sgRNA to induce therapeutic exon skipping.

    Peter Gee;Peter Gee;Mandy S. Y. Lung;Yuya Okuzaki;Noriko Sasakawa

  • Influenza Virus-Host Interactome Screen as a Platform for Antiviral Drug Development

    Tokiko Watanabe;Eiryo Kawakami;Jason E. Shoemaker;Tiago J.S. Lopes

  • Identification of Novel Influenza A Virus Proteins Translated from PA mRNA

    Yukiko Muramoto;Takeshi Noda;Eiryo Kawakami;Ramesh Akkina

  • Structural dissection of Ebola virus and its assembly determinants using cryo-electron tomography

    Tanmay A. M. Bharat;Takeshi Noda;James D. Riches;Verena Kraehling

  • Combinational soluble N-ethylmaleimide-sensitive factor attachment protein receptor proteins VAMP8 and Vti1b mediate fusion of antimicrobial and canonical autophagosomes with lysosomes.

    Nobumichi Furuta;Naonobu Fujita;Takeshi Noda;Tamotsu Yoshimori

  • Exploitation of nucleic acid packaging signals to generate a novel influenza virus-based vector stably expressing two foreign genes.

    Tokiko Watanabe;Shinji Watanabe;Takeshi Noda;Takeshi Noda;Yutaka Fujii;Yutaka Fujii

  • Porphyromonas gingivalis promotes invasion of oral squamous cell carcinoma through induction of proMMP9 and its activation

    Hiroaki Inaba;Hideyuki Sugita;Masae Kuboniwa;Soichi Iwai

  • Hierarchy among viral RNA (vRNA) segments in their role in vRNA incorporation into influenza A virions.

    Yukiko Muramoto;Ayato Takada;Ken Fujii;Takeshi Noda

Frequent Co-Authors

Yoshihiro Kawaoka
Yoshihiro Kawaoka University of Tokyo
Shinji Watanabe
Shinji Watanabe National Institutes of Health
Ayato Takada
Ayato Takada Hokkaido University
Peter Halfmann
Peter Halfmann University of Wisconsin–Madison
Gabriele Neumann
Gabriele Neumann University of Wisconsin–Madison
Taisuke Horimoto
Taisuke Horimoto University of Tokyo
Tokiko Watanabe
Tokiko Watanabe Osaka University
Zhi-Xun Shen
Zhi-Xun Shen Stanford University
Hiroshi Eisaki
Hiroshi Eisaki National Institute of Advanced Industrial Science and Technology
Yusuke Nakamura
Yusuke Nakamura National Institutes of Biomedical Innovation, Health and Nutrition

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