Nana Hareyama

615 total citations
10 papers, 475 citations indexed

About

Nana Hareyama is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Nana Hareyama has authored 10 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Physiology and 4 papers in Molecular Biology. Recurrent topics in Nana Hareyama's work include Pain Mechanisms and Treatments (5 papers), Neuropeptides and Animal Physiology (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Nana Hareyama is often cited by papers focused on Pain Mechanisms and Treatments (5 papers), Neuropeptides and Animal Physiology (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Nana Hareyama collaborates with scholars based in Japan and United States. Nana Hareyama's co-authors include Tsutomu Suzuki, Naoko Kuzumaki, Minoru Narita, Michiko Narita, Keiichi Niikura, Mayumi Nakajima, Hiroyuki Nozaki, Satoshi Imai, Mitsuaki Yamazaki and Yasuyuki Nagumo and has published in prestigious journals such as Journal of Neurochemistry, Neuropsychopharmacology and European Journal of Pharmacology.

In The Last Decade

Nana Hareyama

10 papers receiving 470 citations

Peers

Nana Hareyama

PHYSI

CMN

MB

CN

BN

Gisela Borges Spain

Longyu Ma China

Sang-Seo Park South Korea

Rubén Soto‐Moyano Chile

Charlie H.T. Kwok Canada

I. Roth‐Deri Israel

Sam‐Jun Lee South Korea

Baek‐Vin Lim South Korea

Fong-Sen Wu Taiwan

Daniel Radzicki United States

Gisela Borges Spain

Nana Hareyama

256 ×1.1

PHYSI

207 ×1.0

CMN

85 ×0.9

MB

74 ×0.9

CN

81 ×1.0

BN

Citations per year, relative to Nana Hareyama Nana Hareyama (= 1×) peers Gisela Borges

Countries citing papers authored by Nana Hareyama

Since Specialization

Citations

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

Fields of papers citing papers by Nana Hareyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nana Hareyama

This figure shows the co-authorship network connecting the top 25 collaborators of Nana Hareyama. A scholar is included among the top collaborators of Nana Hareyama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nana Hareyama. Nana Hareyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Suzuki, Shinya, Tsubasa Okano, Nana Hareyama, et al.. (2015). Discovery of potent α1L-adrenoceptor agonists: Design and synthesis of bicyclic derivatives. Bioorganic & Medicinal Chemistry Letters. 25(16). 3368–3372. 2 indexed citations

2.

Otsuka, Atsushi, Satoru Yoshikawa, Takashi Morimoto, et al.. (2011). Pharmacological Effect of TRK-380, a Novel Selective Human β3-Adrenoceptor Agonist, on Mammalian Detrusor Strips. Urology. 79(3). 744.e1–744.e7. 25 indexed citations

3.

Kuzumaki, Naoko, Daigo Ikegami, Rie Tamura, et al.. (2010). Hippocampal epigenetic modification at the brain‐derived neurotrophic factor gene induced by an enriched environment. Hippocampus. 21(2). 127–132. 143 indexed citations

4.

Yoshikawa, Satoru, Nana Hareyama, Ken‐ichi Ikeda, et al.. (2009). Effects of TRK-820, a selective kappa opioid receptor agonist, on rat schizophrenia models. European Journal of Pharmacology. 606(1-3). 102–108. 13 indexed citations

5.

Kuzumaki, Naoko, Nana Hareyama, Satoshi Imai, et al.. (2008). Suppression of enriched environment-induced neurogenesis in a rodent model of neuropathic pain. Neuroscience Letters. 440(3). 314–318. 41 indexed citations

6.

Narita, Minoru, Mayumi Nakajima, Naoko Kuzumaki, et al.. (2007). Usefulness of Antidepressants for Improving the Neuropathic Pain-Like State and Pain-Induced Anxiety through Actions at Different Brain Sites. Neuropsychopharmacology. 33(8). 1952–1965. 117 indexed citations

7.

Kuzumaki, Naoko, Minoru Narita, Michiko Narita, et al.. (2007). Chronic pain-induced astrocyte activation in the cingulate cortex with no change in neural or glial differentiation from neural stem cells in mice. Neuroscience Letters. 415(1). 22–27. 44 indexed citations

8.

Narita, Minoru, Naoko Kuzumaki, Michiko Narita, et al.. (2006). Chronic pain‐induced emotional dysfunction is associated with astrogliosis due to cortical δ‐opioid receptor dysfunction. Journal of Neurochemistry. 97(5). 1369–1378. 77 indexed citations

9.

Imai, Satoshi, Seiko Hashimoto, Atsushi Nakamura, et al.. (2006). Differences in tolerance to anti-hyperalgesic effects between chronic treatment with morphine and fentanyl under a state of pain.. PubMed. 26(5-6). 183–92. 8 indexed citations

10.

Kato, Hideaki, Minoru Narita, Kan Miyoshi, et al.. (2006). Implication of Src family kinase-dependent phosphorylation of NR2B subunit-containing NMDA receptor in the rewarding effect of morphine.. PubMed. 26(3). 119–24. 5 indexed citations

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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