T. HAYASHI

1.1k citations
18 papers · 929 · h-index 12

Impact in

Papers in

T. HAYASHI

18 papers receiving 901 citations

Peers

T. HAYASHI
Comparison fields: 5 of 79
  • Biological Psychiatry 59
  • Cellular and Molecular Neuroscience 349
  • Behavioral Neuroscience 37
  • Molecular Biology 631
  • Complementary and alternative medicine 62
Replace Tomochika Ohno with:
Tomochika Ohno Japan
Linda D. Mercer Australia
G.B. Kovachich United States
Hans‐Joachim Lüth Germany
Kala V. Subbarao Canada
Shi‐Xun Ma South Korea
Gail Rauw Canada
Seok Joong Kim South Korea
N. Baquer India
Marianna E. Jung United States
T. HAYASHI relative to Tomochika Ohno Japan Tomochika Ohno's profile →
Citations per field
00.5×3.2×
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.
2000267
2 2000184
3 2005117
4 199584
5 200464
6 196939
7 197032
8 196831
9 201528
10 200123
11 199721
12 199515
13 197710
14 19706
15 19955
16 19731
17
Clinical and socio-demographic studies of atypical psychoses using ICD-10 criteria
19981
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 929 indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (6 papers), Receptor Mechanisms and Signaling (5 papers), Neuroscience and Neuropharmacology Research (2 papers), Nerve injury and regeneration (2 papers), Neuropeptides and Animal Physiology (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Molecular spectroscopy and chirality (1 paper). The work is most often cited by research in Biological Psychiatry (59 citations), Cellular and Molecular Neuroscience (349 citations), Behavioral Neuroscience (37 citations), Molecular Biology (631 citations) and Complementary and alternative medicine (62 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, Hiroshi Kakisawa, Y Wang, Marisela Morales, Yung‐Hsiao Chiang, S. Z. Lin and Shigeto Yamawaki. Their work appears in journals such as Journal of Neural Transmission, Tetrahedron Letters, Journal of Pharmacology and Experimental Therapeutics, International Clinical Psychopharmacology and Synthesis.

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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