Junji Kawashima

2.7k total citations
52 papers, 1.2k citations indexed

About

Junji Kawashima is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Junji Kawashima has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 23 papers in Molecular Biology and 21 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Junji Kawashima's work include Pancreatic function and diabetes (15 papers), Adipose Tissue and Metabolism (11 papers) and Metabolism, Diabetes, and Cancer (10 papers). Junji Kawashima is often cited by papers focused on Pancreatic function and diabetes (15 papers), Adipose Tissue and Metabolism (11 papers) and Metabolism, Diabetes, and Cancer (10 papers). Junji Kawashima collaborates with scholars based in Japan and United States. Junji Kawashima's co-authors include Eiichi Araki, Tatsuya Kondo, Hiroyuki Motoshima, Takeshi Nishikawa, Yoshiaki Hirashima, Kunio Matsumoto, Kazuhiko Nakamaru, Mihoshi Suefuji, Motoyuki Igata and Kaku Tsuruzoe and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Junji Kawashima

52 papers receiving 1.1k citations

Peers

Junji Kawashima
Yuji Tajiri Japan
Masami Shinohara Japan
Loretta Lam Canada
Beatriz Merino Spain
Viviane Delghingaro‐Augusto Australia
Teemu Kuulasmaa Finland
Gareth E. Lim Canada
Bruno Pillot France
Mirian Ueno Brazil
Martin G. Latour Canada
Yuji Tajiri Japan
Junji Kawashima
Citations per year, relative to Junji Kawashima Junji Kawashima (= 1×) peers Yuji Tajiri

Countries citing papers authored by Junji Kawashima

Since Specialization
Citations

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

Fields of papers citing papers by Junji Kawashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junji Kawashima

This figure shows the co-authorship network connecting the top 25 collaborators of Junji Kawashima. A scholar is included among the top collaborators of Junji Kawashima 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 Kawashima. Junji Kawashima 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.
Kimura, Noriko, Koji Muroya, Masato Yonamine, et al.. (2025). Clinicopathological and genomic analysis of pediatric pheochromocytoma and sympathetic paraganglioma. Endocrine Journal. 72(4). 399–412. 2 indexed citations
2.
Shinojima, Naoki, Shigetoshi Yano, Hiroyo Mabe, et al.. (2024). Long-term outcomes of multidisciplinary treatment combining surgery and stereotactic radiotherapy with Novalis for craniopharyngioma. Journal of Clinical Neuroscience. 120. 138–146. 1 indexed citations
3.
Shinriki, Satoru, Kenji Shimamura, Junji Kawashima, et al.. (2020). Evaluation of an amplicon-based custom gene panel for the diagnosis of hereditary tumors. Neoplasma. 67(4). 898–908. 2 indexed citations
4.
Goto, Rieko, Tatsuya Kondo, Kaoru Ono, et al.. (2019). Mineralocorticoid Receptor May Regulate Glucose Homeostasis through the Induction of Interleukin-6 and Glucagon-Like peptide-1 in Pancreatic Islets. Journal of Clinical Medicine. 8(5). 674–674. 4 indexed citations
5.
Shinojima, Naoki, Keizô Yamamoto, Norio Ishii, et al.. (2018). A Rare Case of Thyrotropin-Secreting Pituitary Adenoma Coexisting with Papillary Thyroid Carcinoma Presenting with Visual Disturbance without Hyperthyroidism. World Neurosurgery. 119. 394–399. 2 indexed citations
6.
Kondo, Tatsuya, Junji Kawashima, Takeshi Matsumura, et al.. (2018). The clinical course and pathophysiological investigation of adolescent gestational diabetes insipidus: a case report. BMC Endocrine Disorders. 18(1). 4–4. 9 indexed citations
7.
Kukidome, Daisuke, Takeshi Nishikawa, Miki Sato, et al.. (2017). Impaired balance is related to the progression of diabetic complications in both young and older adults. Journal of Diabetes and its Complications. 31(8). 1275–1282. 27 indexed citations
8.
Kondo, Tatsuya, Rieko Goto, Kaoru Ono, et al.. (2016). Activation of heat shock response to treat obese subjects with type 2 diabetes: a prospective, frequency-escalating, randomized, open-label, triple-arm trial. Scientific Reports. 6(1). 35690–35690. 10 indexed citations
9.
Motoshima, Hiroyuki, Shuji Kawasaki, Motoyuki Igata, et al.. (2016). Acetate alters expression of genes involved in beige adipogenesis in 3T3-L1 cells and obese KK-Ay mice. Journal of Clinical Biochemistry and Nutrition. 59(3). 207–214. 62 indexed citations
10.
11.
Kawasaki, Shuji, Hiroyuki Motoshima, Motoyuki Igata, et al.. (2013). Regulation of TNFα converting enzyme activity in visceral adipose tissue of obese mice. Biochemical and Biophysical Research Communications. 430(4). 1189–1194. 4 indexed citations
12.
Kondo, Tatsuya, Kazunari Sasaki, Saori Morino‐Koga, et al.. (2012). Hyperthermia With Mild Electrical Stimulation Protects Pancreatic β-Cells From Cell Stresses and Apoptosis. Diabetes. 61(4). 838–847. 37 indexed citations
13.
14.
Shimoda, Seiya, Rieko Goto, Yasuto Matsuo, et al.. (2011). Ezetimibe improves glucose metabolism by ameliorating hepatic function in Japanese patients with type 2 diabetes. Journal of Diabetes Investigation. 3(2). 179–184. 13 indexed citations
15.
Motoshima, Hiroyuki, Tatsuya Kondo, Shuji Kawasaki, et al.. (2010). Caloric restriction decreases ER stress in liver and adipose tissue in ob/ob mice. Biochemical and Biophysical Research Communications. 404(1). 339–344. 40 indexed citations
16.
Motoshima, Hiroyuki, Motoyuki Igata, Takeshi Matsumura, et al.. (2008). Rottlerin activates AMPK possibly through LKB1 in vascular cells and tissues. Biochemical and Biophysical Research Communications. 376(2). 434–438. 8 indexed citations
17.
Nakamaru, Kazuhiko, Kazuya Matsumoto, Tetsuya Taguchi, et al.. (2005). AICAR, an activator of AMP-activated protein kinase, down-regulates the insulin receptor expression in HepG2 cells. Biochemical and Biophysical Research Communications. 328(2). 449–454. 29 indexed citations
18.
Kawashima, Junji, Kaku Tsuruzoe, Hiroyuki Motoshima, et al.. (2003). Insulin down-regulates resistin mRNA through the synthesis of protein(s) that could accelerate the degradation of resistin mRNA in 3T3-L1 adipocytes. Diabetologia. 46(2). 231–240. 44 indexed citations
19.
Toyonaga, Tomomi, Kaku Tsuruzoe, T. Shirotani, et al.. (2002). Heterozygous knockout of the IRS-1 gene in mice enhances obesity-linked insulin resistance: a possible model for the development of type 2 diabetes. Journal of Endocrinology. 174(2). 309–319. 44 indexed citations
20.
Yoshizato, Kazuaki, T. Shirotani, Noboru Furukawa, et al.. (2001). Identification of a cis-Acting Element and a Novel trans-Acting Factor of the Human Insulin Receptor Gene in HepG2 and Rat Liver Cells. Biochemical and Biophysical Research Communications. 280(2). 428–434. 15 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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