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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 35 9210 8505 448 409 106 4648

Valérie Doyère publications per year

The chart shows the history of publications by Valérie Doyère between 1988 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Valérie Doyère published across 37 years, from 1988 to 2024, averaging 2.9 papers a year. Output peaked at 9 publications in 2014. 5 of the 109 publications appeared in the last two years.

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

109 publications in total across all disciplines

View publications per year as a table
Valérie Doyère: publications per year, 1988 to 2024
Year Publications
1988 1
1989 1
1990 0
1991 0
1992 1
1993 1
1994 0
1995 3
1996 1
1997 2
1998 0
1999 1
2000 3
2001 2
2002 1
2003 4
2004 3
2005 3
2006 3
2007 5
2008 3
2009 3
2010 7
2011 5
2012 3
2013 7
2014 9
2015 2
2016 9
2017 5
2018 2
2019 3
2020 6
2021 2
2022 3
2023 4
2024 1
Total 109
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Valérie Doyère 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 Valérie Doyère 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, 98–107 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: 106 publications — 20th percentile

20% 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
68–77 323
78–87 406
88–97 452
98–107 539 106
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
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Valérie Doyère 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 Valérie Doyère 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, 34–35 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: 35 D-Index — 5th percentile

5% 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
34–35 296 35
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
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Overview

Valérie Doyère is affiliated with the Centre national de la recherche scientifique (CNRS) in France. Their research primarily focuses on neuroscience, with a significant emphasis on cognitive neuroscience. Their work also spans several related subfields including sensory systems, experimental and cognitive psychology, nutrition and dietetics, and pulmonary and respiratory medicine.

Their scientific output covers a variety of topics, notably:

  • Neural dynamics and brain function
  • Neuroscience and music perception
  • Memory and neural mechanisms
  • Olfactory and sensory function studies
  • Multisensory perception and integration
  • Biochemical analysis and sensing techniques
  • Sleep and wakefulness research

Several recent publications exemplify their research contributions across neuroscience domains. These include:

  • "Short and long-term evaluation of the impact of proton minibeam radiation therapy on motor, emotional and cognitive functions" (2020), published in Scientific Reports
  • "Rodents monitor their error in self-generated duration on a single trial basis" (2022), published in Proceedings of the National Academy of Sciences
  • "Neural encoding of time in the animal brain" (2020), published in Neuroscience & Biobehavioral Reviews
  • "Respiration and brain neural dynamics associated with interval timing during odor fear learning in rats" (2020), published in Scientific Reports
  • "A response to claims of emergent intelligence and sentience in a dish" (2023), published in Neuron

Throughout their career, Valérie Doyère has frequently published in the following venues:

  • Cerebral Cortex
  • Scientific Reports
  • Behavioural Processes
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the National Academy of Sciences

Collaboration forms a notable aspect of their scientific activity. Frequent co-authors include:

  • Anne-Marie Mouly
  • Nicole El Massioui
  • Lucille Tallot
  • Tadeusz W. Kononowicz
  • Virginie van Wassenhove

Best Publications

  • Long-term potentiation in the amygdala: a cellular mechanism of fear learning and memory.

    Torfi Sigurdsson;Valérie Doyère;Valérie Doyère;Christopher K. Cain;Joseph E. LeDoux

  • Directly reactivated, but not indirectly reactivated, memories undergo reconsolidation in the amygdala

    Jacek Debiec;Valérie Doyère;Valérie Doyère;Karim Nader;Joseph E Ledoux

  • Synapse-specific reconsolidation of distinct fear memories in the lateral amygdala

    Valérie Doyère;Valérie Doyère;Jacek Dębiec;Marie-H Monfils;Glenn E Schafe

  • Tracking the Fear Engram: The Lateral Amygdala Is an Essential Locus of Fear Memory Storage

    Glenn E. Schafe;Valérie Doyère;Valérie Doyère;Joseph E. LeDoux

  • Detection of a Temporal Error Triggers Reconsolidation of Amygdala-Dependent Memories

    Lorenzo Díaz-Mataix;Raquel Chacon Ruiz Martinez;Raquel Chacon Ruiz Martinez;Glenn E. Schafe;Joseph E. LeDoux;Joseph E. LeDoux

  • Stimulation at 1-5 Hz does not produce long-term depression or depotentiation in the hippocampus of the adult rat in vivo

    M. L. Errington;T. V. P. Bliss;G. Richter-Levin;K. Yenk

  • Long-term potentiation of hippocampal afferents and efferents to prefrontal cortex: implications for associative learning

    Valérie Doyère;François Burette;Catherine Rédini-Del Negro;Serge Laroche

  • Auditory Fear Conditioning and Long-Term Potentiation in the Lateral Amygdala Require ERK/MAP Kinase Signaling in the Auditory Thalamus: A Role for Presynaptic Plasticity in the Fear System

    Annemieke M Apergis-Schoute;Jacek Debiec;Valérie Doyère;Valérie Doyère;Joseph E LeDoux

  • Subfield-specific immediate early gene expression associated with hippocampal long-term potentiation in vivo

    Pim French;Vincent O'Connor;M. Jones;Stephen Davis

  • Linear relationship between the maintenance of hippocampal long-term potentiation and retention of an associative memory.

    Valérie Doyère;Serge Laroche

  • Long-term potentiation in freely moving rats reveals asymmetries in thalamic and cortical inputs to the lateral amygdala.

    Valérie Doyère;Glenn E. Schafe;Torfi Sigurdsson;Joseph E. LeDoux

  • The amygdala encodes specific sensory features of an aversive reinforcer

    Jacek Dębiec;Jacek Dębiec;Llorenç Díaz-Mataix;David E A Bush;Valérie Doyère;Valérie Doyère

  • Low‐frequency trains of paired stimuli induce long‐term depression in area CA1 but not in dentate gyrus of the intact rat

    Valérie Doyère;Michael L. Errington;Serge Laroche;Timothy V. P. Bliss

  • Heterosynaptic LTD and Depotentiation in the Medial Perforant Path of the Dentate Gyrus in the Freely Moving Rat

    Valérie Doyère;Bolek Srebro;Serge Laroche

  • Linear relation between the magnitude of long-term potentiation in the dentate gyrus and associative learning in the rat. A demonstration using commissural inhibition and local infusion of an N-methyl-D-aspartate receptor antagonist.

    Serge Laroche;Valérie Doyère;Vincent Bloch

  • A naturally-occurring histone acetyltransferase inhibitor derived from Garcinia indica impairs newly acquired and reactivated fear memories.

    Stephanie A. Maddox;Casey S. Watts;Valérie Doyère;Valérie Doyère;Glenn E. Schafe

  • Sensory-Specific Associations Stored in the Lateral Amygdala Allow for Selective Alteration of Fear Memories

    Lorenzo Díaz-Mataix;Jacek Dębiec;Joseph E. LeDoux;Valérie Doyère

  • Phosphorylation of ERK/MAP kinase is required for long-term potentiation in anatomically restricted regions of the lateral amygdala in vivo.

    Glenn E Schafe;Michael W Swank;Sarina M Rodrigues;Jacek Debiec

  • Behavioral and In Vivo Electrophysiological Evidence for Presymptomatic Alteration of Prefrontostriatal Processing in the Transgenic Rat Model for Huntington Disease

    Sophie Höhn;Glenn Dallérac;Alexis Faure;Yvonne K Urbach

  • Non-linear auto-regressive models for cross-frequency coupling in neural time series.

    Tom Dupré la Tour;Lucille Tallot;Lucille Tallot;Laetitia Grabot;Valérie Doyère

  • Synapse-specific reconsolidation of distinct fear memories in the lateral amygdala

    Valérie Doyère

Frequent Co-Authors

Joseph E. LeDoux
Joseph E. LeDoux New York University
Serge Laroche
Serge Laroche University of Paris-Saclay
Olaf Riess
Olaf Riess University of Tübingen
Glenn E. Schafe
Glenn E. Schafe City University of New York
Regina M. Sullivan
Regina M. Sullivan New York University
Tim V. P. Bliss
Tim V. P. Bliss The Francis Crick Institute
Michael G. Stewart
Michael G. Stewart The Open University
Sylvie Droit-Volet
Sylvie Droit-Volet University of Clermont Auvergne
Sabrina Davis
Sabrina Davis Centre national de la recherche scientifique, CNRS
Virginie van Wassenhove
Virginie van Wassenhove University of Paris-Saclay

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