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Takeshi Sakaba

Takeshi Sakaba

Doshisha University
Japan

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 32 9492 8756 355 330 61 6878

Takeshi Sakaba publications per year

The chart shows the history of publications by Takeshi Sakaba between 1995 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Takeshi Sakaba published across 30 years, from 1995 to 2024, averaging 2.7 papers a year. Output peaked at 13 publications in 2024. 19 of the 80 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1995 to 2024. Vertical axis: number of publications, 0 to 13. Peak 13 publications in 2024. 1995: 1 publication 1996: 0 publications 1997: 2 publications 1998: 3 publications 1999: 0 publications 2000: 0 publications 2001: 5 publications 2002: 2 publications 2003: 3 publications 2004: 0 publications 2005: 2 publications 2006: 2 publications 2007: 3 publications 2008: 3 publications 2009: 1 publication 2010: 3 publications 2011: 0 publications 2012: 4 publications 2013: 2 publications 2014: 1 publication 2015: 6 publications 2016: 2 publications 2017: 3 publications 2018: 3 publications 2019: 2 publications 2020: 2 publications 2021: 2 publications 2022: 4 publications 2023: 6 publications 2024: 13 publications
1995 2024

80 publications in total across all disciplines

View publications per year as a table
Takeshi Sakaba: publications per year, 1995 to 2024
Year Publications
1995 1
1996 0
1997 2
1998 3
1999 0
2000 0
2001 5
2002 2
2003 3
2004 0
2005 2
2006 2
2007 3
2008 3
2009 1
2010 3
2011 0
2012 4
2013 2
2014 1
2015 6
2016 2
2017 3
2018 3
2019 2
2020 2
2021 2
2022 4
2023 6
2024 13
Total 80
Download as CSV

Takeshi Sakaba publication distribution in Neuroscience in 2026

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

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 58–67 publications, is where this scientist sits. 38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 publications 887+

This scientist: 61 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193 61
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
Download as CSV

Takeshi Sakaba D-index placement in Neuroscience in 2026

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

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 32–33 D-Index, is where this scientist sits. 30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30–31 D-Index 163+

This scientist: 32 D-Index — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172 32
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
Download as CSV

Overview

Takeshi Sakaba is affiliated with Doshisha University in Japan and conducts research primarily in the fields of neuroscience and biochemistry, genetics, and molecular biology. Their scholarly work focuses on cellular and molecular neuroscience, molecular biology, cognitive neuroscience, cell biology, and physiology.

The scientist's research covers main topics including neuroscience and neuropharmacology research, photoreceptor and optogenetics research, cellular transport and secretion, lipid membrane structure and behavior, neural dynamics and brain function, neuroscience and neural engineering, and retinal development and disorders.

Frequent publication venues for Sakaba's work include the Proceedings of the National Academy of Sciences, eLife, Cell Reports, bioRxiv (Cold Spring Harbor Laboratory), and Science Advances.

Selected recent papers authored or co-authored by Takeshi Sakaba include:

  • "Direct imaging of rapid tethering of synaptic vesicles accompanying exocytosis at a fast central synapse" (2020, Proceedings of the National Academy of Sciences)
  • "Rapid Ca 2+ channel accumulation contributes to cAMP-mediated increase in transmission at hippocampal mossy fiber synapses" (2021, Proceedings of the National Academy of Sciences)
  • "Intersectin-Mediated Clearance of SNARE Complexes Is Required for Fast Neurotransmission" (2020, Cell Reports)
  • "Increased vesicle fusion competence underlies long-term potentiation at hippocampal mossy fiber synapses" (2023, Science Advances)
  • "Excitatory selective LTP of supramammillary glutamatergic/GABAergic cotransmission potentiates dentate granule cell firing" (2022, Proceedings of the National Academy of Sciences)

Some frequent co-authors of Takeshi Sakaba are Himawari Hirai, Yuki Hashimotodani, Kenzo Hirose, Hirokazu Sakamoto, and Rinako Miyano.

Best Publications

  • Multiple roles of calcium ions in the regulation of neurotransmitter release.

    Erwin Neher;Takeshi Sakaba

  • Calmodulin mediates rapid recruitment of fast-releasing synaptic vesicles at a calyx-type synapse.

    Takeshi Sakaba;Erwin Neher

  • Vesicle pools and short-term synaptic depression: lessons from a large synapse

    Ralf Schneggenburger;Takeshi Sakaba;Erwin Neher

  • Direct modulation of synaptic vesicle priming by GABA B receptor activation at a glutamatergic synapse

    Takeshi Sakaba;Erwin Neher

  • Calcium dependence of exo- and endocytotic coupling at a glutamatergic synapse.

    Nobutake Hosoi;Matthew Holt;Takeshi Sakaba

  • The coupling between synaptic vesicles and Ca2+ channels determines fast neurotransmitter release

    Kristian Wadel;Erwin Neher;Takeshi Sakaba

  • Quantitative relationship between transmitter release and calcium current at the calyx of held synapse.

    Takeshi Sakaba;Erwin Neher

  • Combining Deconvolution and Noise Analysis for the Estimation of Transmitter Release Rates at the Calyx of Held

    Erwin Neher;Takeshi Sakaba

  • Quantitative analysis of calcium-dependent vesicle recruitment and its functional role at the calyx of held synapse

    Nobutake Hosoi;Takeshi Sakaba;Erwin Neher

  • Submillisecond Kinetics of Glutamate Release from a Sensory Synapse

    Henrique von Gersdorff;Takeshi Sakaba;Ken Berglund;Masao Tachibana

  • Involvement of Actin Polymerization in Vesicle Recruitment at the Calyx of Held Synapse

    Takeshi Sakaba;Erwin Neher

  • Roles of the fast-releasing and the slowly releasing vesicles in synaptic transmission at the calyx of held

    Takeshi Sakaba

  • Dynamic Control of Synaptic Vesicle Replenishment and Short-Term Plasticity by Ca2+-Calmodulin-Munc13-1 Signaling

    Noa Lipstein;Takeshi Sakaba;Benjamin H. Cooper;Kun-Han Lin

  • Preferential potentiation of fast-releasing synaptic vesicles by cAMP at the calyx of Held

    Takeshi Sakaba;Erwin Neher

  • Two Ca2+-Dependent Steps Controlling Synaptic Vesicle Fusion and Replenishment at the Cerebellar Basket Cell Terminal

    Takeshi Sakaba

  • Estimation of quantal parameters at the calyx of Held synapse.

    Takeshi Sakaba;Ralf Schneggenburger;Erwin Neher

  • Target-Dependent Feedforward Inhibition Mediated by Short-Term Synaptic Plasticity in the Cerebellum

    Jin Bao;Kerstin Reim;Takeshi Sakaba

  • Control of Inhibitory Synaptic Outputs by Low Excitability of Axon Terminals Revealed by Direct Recording

    Shin-ya Kawaguchi;Takeshi Sakaba

  • Estimating Transmitter Release Rates from Postsynaptic Current Fluctuations

    Erwin Neher;Takeshi Sakaba

  • Two components of transmitter release in retinal bipolar cells: exocytosis and mobilization of synaptic vesicles.

    Takeshi Sakaba;Masao Tachibana;Ko Matsui;Naotoshi Minami

  • Kinetics of Releasable Synaptic Vesicles and Their Plastic Changes at Hippocampal Mossy Fiber Synapses

    Mitsuharu Midorikawa;Takeshi Sakaba

  • Ca2+-activated K+ current at presynaptic terminals of goldfish retinal bipolar cells

    Takeshi Sakaba;Hiroshi Ishikane;Masao Tachibana

  • Readily releasable pool of synaptic vesicles measured at single synaptic contacts

    Federico F. Trigo;Takeshi Sakaba;Takeshi Sakaba;David Ogden;Alain Marty

  • KV10.1 opposes activity‐dependent increase in Ca2+ influx into the presynaptic terminal of the parallel fibre–Purkinje cell synapse

    Lena Sünke Mortensen;Hartmut Schmidt;Zohreh Farsi;Alonso Barrantes‐Freer

  • Direct imaging of rapid tethering of synaptic vesicles accompanying exocytosis at a fast central synapse.

    Takafumi Miki;Mitsuharu Midorikawa;Takeshi Sakaba

  • Rapid Ca2+ channel accumulation contributes to cAMP-mediated increase in transmission at hippocampal mossy fiber synapses

    Ryota Fukaya;Marta Maglione;Marta Maglione;Stephan J. Sigrist;Stephan J. Sigrist;Takeshi Sakaba

Frequent Co-Authors

Volker Haucke
Volker Haucke Freie Universität Berlin
Nils Brose
Nils Brose Max Planck Society
Walter Stühmer
Walter Stühmer Max Planck Society
Jens Eilers
Jens Eilers Leipzig University
Ralf Schneggenburger
Ralf Schneggenburger École Polytechnique Fédérale de Lausanne
Stephan J. Sigrist
Stephan J. Sigrist Freie Universität Berlin
Henrique von Gersdorff
Henrique von Gersdorff Oregon Health & Science University
Alain Marty
Alain Marty Université Paris Cité
Ilan Lampl
Ilan Lampl Weizmann Institute of Science
Dietmar Schmitz
Dietmar Schmitz Charité - University Medicine Berlin

External Links

Personal website of Takeshi Sakaba

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Related Online Degrees & Career Pathways

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Best Scientists Citing Takeshi Sakaba

Nils Brose

Nils Brose

Max Planck Society

Publications: 41

Henrique von Gersdorff

Henrique von Gersdorff

Oregon Health & Science University

Publications: 40

Stephan J. Sigrist

Stephan J. Sigrist

Freie Universität Berlin

Publications: 39

Thomas C. Südhof

Thomas C. Südhof

Stanford University

Publications: 37

Tomoyuki Takahashi

Tomoyuki Takahashi

Okinawa Institute of Science and Technology

Publications: 32

Ralf Schneggenburger

Ralf Schneggenburger

École Polytechnique Fédérale de Lausanne

Publications: 31

Christian Rosenmund

Christian Rosenmund

Charité - University Medicine Berlin

Publications: 29

Volker Haucke

Volker Haucke

Freie Universität Berlin

Publications: 26

Tobias Moser

Tobias Moser

University of Göttingen

Publications: 26

Wallace B. Thoreson

Wallace B. Thoreson

University of Nebraska Medical Center

Publications: 25

Ege T. Kavalali

Ege T. Kavalali

Vanderbilt University

Publications: 23

Wade G. Regehr

Wade G. Regehr

Harvard Medical School

Publications: 20

Ian D. Forsythe

Ian D. Forsythe

University of Leicester

Publications: 19

Gary Matthews

Gary Matthews

Stony Brook University

Publications: 18

Leon Lagnado

Leon Lagnado

University of Sussex

Publications: 18

Fabio Benfenati

Fabio Benfenati

Italian Institute of Technology

Publications: 18

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