T. HAYASHI

1.1k citations
18 papers · 883 · h-index 12

Impact in

Papers in

T. HAYASHI

18 papers receiving 861 citations

Peers

T. HAYASHI
Comparison fields: 5 of 81
  • Biological Psychiatry 68
  • Cellular and Molecular Neuroscience 368
  • Behavioral Neuroscience 40
  • Molecular Biology 613
  • Developmental Neuroscience 30
Replace Tomochika Ohno with:
Tomochika Ohno Japan
Linda D. Mercer Australia
G.B. Kovachich United States
Kala V. Subbarao Canada
Gail Rauw Canada
Seok Joong Kim South Korea
Samanta Oliveira Loureiro Brazil
Manuel J. Bández Spain
Kayoko Uezu Japan
J. Silvestre Spain
T. HAYASHI relative to Tomochika Ohno Japan Tomochika Ohno's profile →
Citations per field
00.5×4.3×
Tomochika Ohno · 1×
Citations per year

Countries citing papers authored by T. HAYASHI

Since Specialization
Citations

This map shows the geographic impact of T. HAYASHI'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 T. HAYASHI with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. HAYASHI more than expected).

Fields of papers citing papers by T. HAYASHI

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Ca(2+) signaling via sigma(1)-receptors: novel regulatory mechanism affecting intracellular Ca(2+) concentration.
2000259
2 2000181
3 2005113
4 199582
5 200464
6 196934
7 201527
8 197024
9 200123
10 196822
11 199720
12 199514
13 19778
14 19705
15 19954
16
Clinical and socio-demographic studies of atypical psychoses using ICD-10 criteria
19981
17 19731
18 19991

About T. HAYASHI

T. HAYASHI is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 883 indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (6 papers), Receptor Mechanisms and Signaling (5 papers), Nerve injury and regeneration (2 papers), Neuropeptides and Animal Physiology (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Pharmacological Effects and Toxicity Studies (1 paper) and Prenatal Substance Exposure Effects (1 paper). The work is most often cited by research in Biological Psychiatry (68 citations), Cellular and Molecular Neuroscience (368 citations), Behavioral Neuroscience (40 citations), Molecular Biology (613 citations) and Developmental Neuroscience (30 citations). T. HAYASHI has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Tsung-Ping Su, Tangui Maurice, Minoru Takebayashi, Barry J. Hoffer, Y Wang, S. Z. Lin, Marisela Morales, Yung‐Hsiao Chiang, Hiroshi Kakisawa and Ariyuki Kagaya. Their work appears in journals such as Tetrahedron Letters, Journal of Neural Transmission, Journal of Pharmacology and Experimental Therapeutics, Current Neuropharmacology and Behavioural Brain Research.

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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