Yukihiro Noda

9.5k citations
238 papers · 7.9k indexed · h-index 52

Yukihiro Noda

227 papers receiving 7.7k citations

Peers

Yukihiro Noda
Comparison fields: 5 of 140
  • Biological Psychiatry 930
  • Cellular and Molecular Neuroscience 4.1k
  • Behavioral Neuroscience 637
  • Developmental Neuroscience 327
  • Neurology 610
Replace Heide Hörtnagl with:
Heide Hörtnagl Austria
Lydia Giménez‐Llort Spain
Rudi D’Hooge Belgium
Peter Thorén Sweden
Jing Du United States
Toshio Matsuda Japan
Robert O. Messing United States
Sylvie Chalon France
Juan M. Saavedra United States
Akemichi Baba Japan
Yukihiro Noda relative to Heide Hörtnagl Austria Heide Hörtnagl's profile →
Citations per field
00.5×1.7×
Heide Hörtnagl · 1×
Citations per year

Countries citing papers authored by Yukihiro Noda

Since Specialization
Citations

This map shows the geographic impact of Yukihiro Noda'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 Yukihiro Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukihiro Noda more than expected).

Fields of papers citing papers by Yukihiro Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yukihiro Noda. 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 Yukihiro Noda. The network helps show where Yukihiro Noda may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yukihiro Noda, 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 Yukihiro Noda Line = papers co-authored together Yukihiro Noda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20224
3 20192
4 201270
5 201127
6 20111
7 20111
8 20090
9 20097
10 200933
11 20091
12 20071
13 20062
14 20060
15 20056
16
[Neuroprotective effects of magnesium on cerebral ischemia and cerebral contusion].
20042
17 200347
18
The effect of naftidrofuryl oxalate (LS-121) on learning and memory
19875
19
Cholinergic modulation of memory for step-down type passive avoidance task in mice
198644
20
Allosteric changes in opioid receptors induced by the electric footshock
19852

About Yukihiro Noda

Yukihiro Noda is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 238 papers that have together received 7.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (57 papers), Neuroscience and Neuropharmacology Research (53 papers), Neurotransmitter Receptor Influence on Behavior (51 papers), Neuropeptides and Animal Physiology (39 papers), Tryptophan and brain disorders (19 papers), Memory and Neural Mechanisms (19 papers), Pharmacological Receptor Mechanisms and Effects (18 papers) and Neuroendocrine regulation and behavior (18 papers). The work is most often cited by research in Biological Psychiatry (930 citations), Cellular and Molecular Neuroscience (4.1k citations) and Behavioral Neuroscience (637 citations). Yukihiro Noda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Toshitaka Nabeshima, Kiyofumi Yamada, Akihiro Mouri, Takayoshi Mamiya, Taku Nagai, Atsumi Nitta, Hiroyuki Kamei, Hiroyuki Mizoguchi, Takaaki Hasegawa and Hiroshi Furukawa. Their work appears in journals such as Behavioural Brain Research, Human Psychopharmacology Clinical and Experimental, European Journal of Pharmacology, Neuropharmacology and Journal of Pharmacology and Experimental Therapeutics.

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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