Junji Ichihara

672 total citations
17 papers, 578 citations indexed

About

Junji Ichihara is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Junji Ichihara has authored 17 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Surgery and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Junji Ichihara's work include Pancreatic function and diabetes (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Junji Ichihara is often cited by papers focused on Pancreatic function and diabetes (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Junji Ichihara collaborates with scholars based in Japan and United States. Junji Ichihara's co-authors include Yasuo Shinohara, Hiroshi Terada, Mutsuo Taiji, Hiroshi Noguchi, Yasushi Itakura, Chikao Nakayama, Y. Itakura, Michiko Ono, Kenji Yamamoto and Takeshi Nonomura and has published in prestigious journals such as PLoS ONE, Hepatology and Analytical Biochemistry.

In The Last Decade

Junji Ichihara

17 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junji Ichihara Japan 13 219 146 131 129 125 17 578
Hongjiao Xu China 16 238 1.1× 100 0.7× 66 0.5× 134 1.0× 114 0.9× 32 576
Yoichiro Kai Japan 14 329 1.5× 66 0.5× 122 0.9× 94 0.7× 83 0.7× 19 605
Martin Laser Germany 14 410 1.9× 83 0.6× 83 0.6× 42 0.3× 125 1.0× 15 853
Dongdong Chen China 15 152 0.7× 71 0.5× 90 0.7× 77 0.6× 114 0.9× 40 576
Charlotte Paquet France 6 264 1.2× 243 1.7× 71 0.5× 71 0.6× 26 0.2× 9 610
Patricia Rouet‐Benzineb France 13 368 1.7× 94 0.6× 69 0.5× 83 0.6× 89 0.7× 23 912
Sookhee Bang United States 11 280 1.3× 190 1.3× 68 0.5× 65 0.5× 95 0.8× 14 619
Joo‐Ho Chung South Korea 12 114 0.5× 73 0.5× 72 0.5× 23 0.2× 45 0.4× 29 476
Laurent Vinet Switzerland 16 385 1.8× 118 0.8× 278 2.1× 44 0.3× 110 0.9× 27 758
I. Moroo Japan 9 259 1.2× 126 0.9× 103 0.8× 41 0.3× 145 1.2× 20 623

Countries citing papers authored by Junji Ichihara

Since Specialization
Citations

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

Fields of papers citing papers by Junji Ichihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junji Ichihara

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

All Works

17 of 17 papers shown
1.
Mori, Yuki, et al.. (2023). Ultra‐high‐field pharmacological functional MRI of dopamine D1 receptor‐related interventions in anesthetized rats. Pharmacology Research & Perspectives. 11(2). e01055–e01055. 3 indexed citations
2.
Kojima, Chie, et al.. (2021). Application of Zwitterionic Polymer Hydrogels to Optical Tissue Clearing for 3D Fluorescence Imaging. Macromolecular Bioscience. 21(9). 3 indexed citations
3.
Kojima, Chie, et al.. (2021). Application of Zwitterionic Polymer Hydrogels to Optical Tissue Clearing for 3D Fluorescence Imaging. Macromolecular Bioscience. 21(9). e2100170–e2100170. 8 indexed citations
4.
Okanoue, Takeshi, Hayao Ebise, Toshihiro Kai, et al.. (2017). A simple scoring system using type IV collagen 7S and aspartate aminotransferase for diagnosing nonalcoholic steatohepatitis and related fibrosis. Journal of Gastroenterology. 53(1). 129–139. 45 indexed citations
5.
Ichihara, Junji, et al.. (2015). New screening strategy and analysis for identification of allosteric modulators for glucagon-like peptide-1 receptor using GLP-1 (9-36) amide. Analytical Biochemistry. 491. 23–30. 12 indexed citations
6.
Ichihara, Junji, et al.. (2015). Effect of dopamine D4 receptor agonists on sleep architecture in rats. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 63. 6–13. 12 indexed citations
7.
Ichihara, Junji, et al.. (2015). Nano-LC-MS/MS for Quantification of Lyso-Gb3 and Its Analogues Reveals a Useful Biomarker for Fabry Disease. PLoS ONE. 10(5). e0127048–e0127048. 39 indexed citations
8.
Okanoue, Takeshi, Hayao Ebise, Tsuyoshi Iwasaki, et al.. (2015). Identification of novel noninvasive markers for diagnosing nonalcoholic steatohepatitis and related fibrosis by data mining. Hepatology. 63(2). 462–473. 33 indexed citations
9.
Harada, Koichiro, et al.. (2013). A novel selective androgen receptor modulator, NEP28, is efficacious in muscle and brain without serious side effects on prostate. European Journal of Pharmacology. 720(1-3). 107–114. 37 indexed citations
10.
Hayashi, Kôji, Junji Ichihara, Takao Kawamura, et al.. (2008). Comparison of gene expression changes induced by biguanides in db/db mice liver. The Journal of Toxicological Sciences. 33(3). 339–347. 13 indexed citations
11.
Ichihara, Junji, Reiji Teramoto, Y. Itakura, et al.. (2006). Global gene expression analysis in liver of obese diabetic db/db mice treated with metformin. Diabetologia. 49(7). 1647–1655. 54 indexed citations
12.
Tsuchida, Atsushi, Tsutomu Nakagawa, Y. Itakura, et al.. (2001). The effects of brain-derived neurotrophic factor on insulin signal transduction in the liver of diabetic mice. Diabetologia. 44(5). 555–566. 80 indexed citations
13.
Shinohara, Yasuo, et al.. (1997). Source of ATP for hexokinase-catalyzed glucose phosphorylation in tumor cells: dependence on the rate of oxidative phosphorylation relative to that of extramitochondrial ATP generation. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1319(2-3). 319–330. 30 indexed citations
14.
Ono, Michiko, Junji Ichihara, Takeshi Nonomura, et al.. (1997). Brain-Derived Neurotrophic Factor Reduces Blood Glucose Level in Obese Diabetic Mice but Not in Normal Mice. Biochemical and Biophysical Research Communications. 238(2). 633–637. 104 indexed citations
15.
Ichihara, Junji, Yasuo Shinohara, Kentaro Kogure, & Hiroshi Terada. (1995). Nucleotide sequence of the 5′-flanking region of the rat type II hexokinase gene. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1260(3). 365–368. 10 indexed citations
16.
Shinohara, Yasuo, Kenji Yamamoto, Kentaro Kogure, Junji Ichihara, & Hiroshi Terada. (1994). Steady state transcript levels of the type II hexokinase and type 1 glucose transporter in human tumor cell lines. Cancer Letters. 82(1). 27–32. 50 indexed citations
17.
Shinohara, Yasuo, Junji Ichihara, & Hiroshi Terada. (1991). Remarkably enhanced expression of the type II hexokinase in rat hepatoma cell line AH130. FEBS Letters. 291(1). 55–57. 45 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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