Toru Nakamura

1.8k total citations
43 papers, 1.4k citations indexed

About

Toru Nakamura is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Toru Nakamura has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Cell Biology. Recurrent topics in Toru Nakamura's work include Biochemical and Molecular Research (6 papers), Cancer therapeutics and mechanisms (5 papers) and Angiogenesis and VEGF in Cancer (5 papers). Toru Nakamura is often cited by papers focused on Biochemical and Molecular Research (6 papers), Cancer therapeutics and mechanisms (5 papers) and Angiogenesis and VEGF in Cancer (5 papers). Toru Nakamura collaborates with scholars based in Japan, United States and United Kingdom. Toru Nakamura's co-authors include Takashi Tokino, Tsutomu Nagaya, Keiko Matsubara, Hyukki Chang, Hideaki Soya, Custer C. Deocaris, Takahiko Fujikawa, Bruce S. McEwen, Takeshi Nishijima and Takanori Ueda and has published in prestigious journals such as Journal of Clinical Oncology, Genes & Development and Gastroenterology.

In The Last Decade

Toru Nakamura

43 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Toru Nakamura Japan 21 489 310 298 229 200 43 1.4k
Xiaofeng Qian China 16 535 1.1× 259 0.8× 288 1.0× 1.1k 4.8× 172 0.9× 33 2.2k
Bonaventura Casanova Spain 27 339 0.7× 130 0.4× 68 0.2× 122 0.5× 290 1.4× 91 2.0k
Yulong Cai China 20 329 0.7× 95 0.3× 139 0.5× 108 0.5× 138 0.7× 43 1.1k
Ayman Tourbah France 27 549 1.1× 194 0.6× 60 0.2× 247 1.1× 198 1.0× 111 2.4k
Enrica Audero Italy 17 912 1.9× 48 0.2× 278 0.9× 378 1.7× 228 1.1× 21 1.7k
Vibhor Krishna United States 26 474 1.0× 213 0.7× 150 0.5× 641 2.8× 58 0.3× 71 2.4k
Maura Castagna Italy 22 342 0.7× 168 0.5× 53 0.2× 356 1.6× 241 1.2× 95 1.4k
Élisabeth André France 16 627 1.3× 195 0.6× 34 0.1× 272 1.2× 101 0.5× 20 1.4k
Sara Gil‐Perotín Spain 23 920 1.9× 188 0.6× 105 0.4× 422 1.8× 266 1.3× 44 2.4k
Yoji Hakamata Japan 30 1.9k 3.9× 154 0.5× 91 0.3× 685 3.0× 191 1.0× 129 3.5k

Countries citing papers authored by Toru Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Toru Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Toru Nakamura. A scholar is included among the top collaborators of Toru Nakamura 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 Toru Nakamura. Toru Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nakamura, Toru, et al.. (2024). Representation of rhythmic chunking in striatum of mice executing complex continuous movement sequences. Cell Reports. 43(6). 114312–114312. 1 indexed citations
2.
Nakamura, Toru, et al.. (2023). Emergence of rhythmic chunking in complex stepping of mice. iScience. 26(5). 106765–106765. 2 indexed citations
3.
Nakamura, Toru, et al.. (2019). Dopamine D1 and muscarinic acetylcholine receptors in dorsal striatum are required for high speed running. Neuroscience Research. 156. 50–57. 5 indexed citations
4.
Ohnuma, Tohru, Masayoshi Takeuchi, Hitoshi Maeshima, et al.. (2015). Altered serum glyceraldehyde-derived advanced glycation end product (AGE) and soluble AGE receptor levels indicate carbonyl stress in patients with schizophrenia. Neuroscience Letters. 593. 51–55. 19 indexed citations
5.
Nakamura, Toru, et al.. (2015). Expression pattern of immediate early genes in the cerebellum of D1R KO, D2R KO, and wild type mice under vestibular-controlled activity. Frontiers in Cell and Developmental Biology. 3. 38–38. 2 indexed citations
6.
7.
Soya, Hideaki, Toru Nakamura, Custer C. Deocaris, et al.. (2007). BDNF induction with mild exercise in the rat hippocampus. Biochemical and Biophysical Research Communications. 358(4). 961–967. 216 indexed citations
8.
9.
Taniguchi, Eitaro, Motoaki Kin, Takuji Torimura, et al.. (2006). Endothelial Progenitor Cell Transplantation Improves the Survival Following Liver Injury in Mice. Gastroenterology. 130(2). 521–531. 74 indexed citations
10.
Iiizumi, Megumi, Masayo Hosokawa, Akio Takehara, et al.. (2006). EphA4 receptor, overexpressed in pancreatic ductal adenocarcinoma, promotes cancer cell growth. Cancer Science. 97(11). 1211–1216. 55 indexed citations
11.
Kawasaki, Makoto, Kensei Yamaguchi, Junichi Saito, et al.. (2005). Expression of Immediate Early Genes and Vasopressin Heteronuclear RNA in the Paraventricular and Supraoptic Nuclei of Rats After Acute Osmotic Stimulus. Journal of Neuroendocrinology. 17(4). 227–237. 49 indexed citations
12.
Ohiwa, Nao, Tsuyoshi Saito, Hyukki Chang, Toru Nakamura, & Hideaki Soya. (2005). Differential responsiveness of c-Fos expression in the rat medulla oblongata to different treadmill running speeds. Neuroscience Research. 54(2). 124–132. 27 indexed citations
13.
Inai, Kunihiro, Hiroshi Tsutani, Takahiro Yamauchi, Toru Nakamura, & Takanori Ueda. (1998). Differentiation and Reduction of Intracellular GTP Levels in Hl-60 and U937 Cells Upon Treatment with IMP Dehydrogenase Inhibitors. Advances in experimental medicine and biology. 431. 549–553. 14 indexed citations
14.
Ueda, Takanori, Takahiro Yamauchi, Shinji Kishi, et al.. (1998). Clinical Pharmacology of Intermediate and Low-Dose Cytosine Arabinoside (ara-C) Therapy in Patients with Hematologic Malignancies. Advances in experimental medicine and biology. 431. 647–651. 5 indexed citations
15.
Fukushima, Toshihiro, Hitoshi Inoue, Haruyuki Takemura, et al.. (1998). Idarubicin and idarubicinol are less affected by topoisomerase II-related multidrug resistance than is daunorubicin. Leukemia Research. 22(7). 625–629. 9 indexed citations
16.
Schmassmann, Adrian, C Stettler, Richard Poulsom, et al.. (1997). Roles of hepatocyte growth factor and its receptor Met during gastric ulcer healing in rats. Gastroenterology. 113(6). 1858–1872. 74 indexed citations
17.
Satake, Kazuo, Jong‐Dae Lee, Hiromasa Shimizu, Takanori Ueda, & Toru Nakamura. (1996). Relation Between Severity of Magnesium Deficiency and Frequency of Anginal Attacks in Men With Variant Angina. Journal of the American College of Cardiology. 28(4). 897–902. 35 indexed citations
18.
19.
Nakamura, Yoshio, Ryuichi Morishita, Jitsuo Higaki, et al.. (1995). Expression of Local Hepatocyte Growth Factor System in Vascular Tissues. Biochemical and Biophysical Research Communications. 215(2). 483–488. 118 indexed citations
20.
Higuchi, Tomihiko, et al.. (1975). The formation of 5-phosphoribosyl-1-pyrophosphate in human leukemic leukocytes. Biochemical Medicine. 13(2). 178–183. 3 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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