Eisuke Haneda

578 citations
10 papers · 478 · h-index 8

Impact in

Papers in

Eisuke Haneda

10 papers receiving 469 citations

Peers

Eisuke Haneda
Comparison fields: 5 of 63
  • Developmental Neuroscience 110
  • Biological Psychiatry 61
  • Behavioral Neuroscience 79
  • Cellular and Molecular Neuroscience 270
  • Neurology 110
Replace Frances Colyer with:
Frances Colyer United Kingdom
Bruna Cuccurazzu Italy
Beatrice Vignoli Italy
Mami Tsuchioka Japan
Dayna M. Hayes United States
Jelena Mijatovic Finland
Joana Sofia Correia Portugal
Mikkel Vestergaard Olesen Denmark
Jesús Pascual-Brazo Spain
Rosamaria Orlando Italy
Eisuke Haneda relative to Frances Colyer United Kingdom Frances Colyer's profile →
Citations per field
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Frances Colyer · 1×
Citations per year

Countries citing papers authored by Eisuke Haneda

Since Specialization
Citations

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

Fields of papers citing papers by Eisuke Haneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2010166
2 2007120
3 200856
4 201242
5 201435
6 200527
7 200717
8 200811
9 20223
10
Quantitative Analysis of NK 1 Receptor in the Human Brain Using PET with 18 F-FE-SPA-RQ
20081

About Eisuke Haneda

Eisuke Haneda is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Physiology and Epidemiology, having authored 10 papers that have together received 478 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Pain Mechanisms and Treatments (2 papers), Memory and Neural Mechanisms (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Acute Ischemic Stroke Management (1 paper). The work is most often cited by research in Developmental Neuroscience (110 citations), Biological Psychiatry (61 citations), Behavioral Neuroscience (79 citations), Cellular and Molecular Neuroscience (270 citations) and Neurology (110 citations). Eisuke Haneda has collaborated with scholars based in Japan. Frequent co-authors include Hidenori Suzuki, Katsunori Kobayashi, Tetsuya Suhara, Makoto Higuchi, Yumiko Ikeda, Atsushi Sakai, Nobuyuki Yamasaki, Tsuyoshi Miyakawa, Kazutoshi Suzuki and Yoshio Ikeda. Their work appears in journals such as Journal of Nuclear Medicine, Journal of Neuroscience, Brain Research, Bioscience Biotechnology and Biochemistry and British Journal of Pharmacology.

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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