Satoshi Kida

7.9k citations
97 papers · 6.3k indexed · 3 hit papers · h-index 34

Satoshi Kida

93 papers receiving 6.2k citations

Hit Papers

Memory Reconsolidation and Extinction Have Distinct Tempo...90619982026200720162505007501000

Peers

Satoshi Kida
Comparison fields: 5 of 128
  • Behavioral Neuroscience 896
  • Cellular and Molecular Neuroscience 3.6k
  • Developmental Neuroscience 695
  • Cognitive Neuroscience 2.7k
  • Biological Psychiatry 306
Replace Serge Laroche with:
Serge Laroche France
Thomas C. Foster United States
Claire Rampon France
Vadim Y. Bolshakov United States
A. Ennaceur United Kingdom
Tak Pan Wong Canada
Jeanne M. Wehner United States
Philip W. Landfield United States
Martı́n Cammarota Brazil
Jean‐Christophe Cassel France
Satoshi Kida relative to Serge Laroche France Serge Laroche's profile →
Citations per field
00.5×1.6×
Serge Laroche · 1×
Citations per year

Countries citing papers authored by Satoshi Kida

Since Specialization
Citations

This map shows the geographic impact of Satoshi Kida's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Satoshi Kida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Kida more than expected).

Fields of papers citing papers by Satoshi Kida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satoshi Kida. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Satoshi Kida. The network helps show where Satoshi Kida may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Satoshi Kida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Satoshi Kida Line = papers co-authored together Satoshi Kida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20247
2 20223
3 202210
4 20215
5 20216
6 202019
7 201955
8 201511
9 201477
10 20137
11 201233
12 201179
13 201124
14 201023
15 200921
16 200950
17 2008110
18 200629
19 200510
20
Memory Reconsolidation and Extinction Have Distinct Temporal and Biochemical Signaturesbreakdown →
2004906

About Satoshi Kida

Satoshi Kida is a scholar working on Behavioral Neuroscience, Developmental Neuroscience, Neurology, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 97 papers that have together received 6.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (44 papers), Memory and Neural Mechanisms (42 papers), Neuroinflammation and Neurodegeneration Mechanisms (25 papers), Stress Responses and Cortisol (16 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Tryptophan and brain disorders (7 papers), Receptor Mechanisms and Signaling (7 papers) and Circadian rhythm and melatonin (6 papers). The work is most often cited by research in Behavioral Neuroscience (896 citations), Cellular and Molecular Neuroscience (3.6k citations), Developmental Neuroscience (695 citations), Cognitive Neuroscience (2.7k citations) and Biological Psychiatry (306 citations). Satoshi Kida has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Paul W. Frankland, Alcino J. Silva, Jeffrey H. Kogan, Shoichi Masushige, Akinobu Suzuki, Hotaka Fukushima, Sheena A. Josselyn, Sheena A. Josselyn, Sandra Peña de Ortı́z and Rie Ishikawa. Their work appears in journals such as Molecular Brain, Journal of Neuroscience, Neuroscience Research, Gene and Learning & Memory.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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