Yuji Higashimoto

1.3k total citations
62 papers, 947 citations indexed

About

Yuji Higashimoto is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Surgery. According to data from OpenAlex, Yuji Higashimoto has authored 62 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pulmonary and Respiratory Medicine, 14 papers in Physiology and 9 papers in Surgery. Recurrent topics in Yuji Higashimoto's work include Chronic Obstructive Pulmonary Disease (COPD) Research (25 papers), Respiratory Support and Mechanisms (11 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers). Yuji Higashimoto is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (25 papers), Respiratory Support and Mechanisms (11 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers). Yuji Higashimoto collaborates with scholars based in Japan, Canada and United States. Yuji Higashimoto's co-authors include Yuji Tohda, Kanji Fukuda, Osamu Nishiyama, Morihiro Okada, Hiroyuki Sano, Takashi Iwanaga, Hiroaki Kume, Ryo Yamazaki, Tadashi Ishiguchi and Yuko Yamagata and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Yuji Higashimoto

57 papers receiving 926 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuji Higashimoto Japan 17 636 264 96 93 89 62 947
Branislava Milenković Serbia 16 560 0.9× 247 0.9× 98 1.0× 56 0.6× 46 0.5× 88 809
Fisun Karadağ Türkiye 11 355 0.6× 178 0.7× 99 1.0× 55 0.6× 65 0.7× 28 657
Γεώργιος Νάκος Greece 15 372 0.6× 150 0.6× 99 1.0× 197 2.1× 90 1.0× 39 920
A Eliraz Israel 15 397 0.6× 315 1.2× 136 1.4× 67 0.7× 70 0.8× 55 819
Chin‐Pyng Wu Taiwan 19 430 0.7× 120 0.5× 106 1.1× 156 1.7× 124 1.4× 77 1.0k
Susannah Bloch United Kingdom 11 274 0.4× 381 1.4× 78 0.8× 207 2.2× 111 1.2× 15 853
Shinya Tomari Japan 18 326 0.5× 481 1.8× 219 2.3× 81 0.9× 207 2.3× 67 1.1k
Todd A. Theman United States 10 186 0.3× 298 1.1× 94 1.0× 63 0.7× 148 1.7× 14 626
Constance Barazzone Argiroffo Switzerland 13 380 0.6× 101 0.4× 126 1.3× 160 1.7× 82 0.9× 23 727
Rahul Y. Mahida United Kingdom 12 314 0.5× 201 0.8× 103 1.1× 191 2.1× 120 1.3× 26 810

Countries citing papers authored by Yuji Higashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Yuji Higashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuji Higashimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Yuji Higashimoto. A scholar is included among the top collaborators of Yuji Higashimoto 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 Yuji Higashimoto. Yuji Higashimoto 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.
Itokazu, Maki, Toshiyuki Takehara, Yuji Higashimoto, et al.. (2025). Aging-related changes of miR-23b-3p expression in extracellular vesicles from mesenchymal stromal cells affect TGFBR3 signaling. Scientific Reports. 15(1). 22186–22186.
2.
Arizono, Shinichi, Yuji Higashimoto, Y Kimoto, et al.. (2024). Association of tissue oxygen saturation levels with skeletal muscle injury in the critically ill. Scientific Reports. 14(1). 4811–4811.
3.
Higashimoto, Yuji, Yu Takeda, Osamu Nishiyama, et al.. (2024). Enhanced diaphragm excursion and exercise tolerance in COPD patients through inspiratory muscle training after standardised pulmonary rehabilitation: randomised controlled trial. ERJ Open Research. 10(6). 35–2024. 3 indexed citations
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Higashimoto, Yuji, Yu Takeda, Osamu Nishiyama, et al.. (2023). Diaphragm dome height on chest radiography as a predictor of dynamic lung hyperinflation in COPD. ERJ Open Research. 9(3). 79–2023. 1 indexed citations
7.
Higashimoto, Yuji, Yu Takeda, Shuhei Fujita, et al.. (2022). Sternocleidomastoid Muscle Thickness Correlates with Exercise Tolerance in Patients with COPD. Respiration. 102(1). 64–73. 5 indexed citations
8.
Higashimoto, Yuji, Tomomi Tamura, Yasutaka Chiba, et al.. (2021). Decreased Tongue Strength is Related to Skeletal Muscle Mass in COPD Patients. Dysphagia. 37(3). 636–643. 10 indexed citations
9.
Higashimoto, Yuji, Osamu Nishiyama, Takashi Iwanaga, et al.. (2021). Effect of Pulmonary Rehabilitation on Erector Spinae Muscles in Individuals With COPD. Respiratory Care. 66(9). 1458–1468. 6 indexed citations
10.
Nishiyama, Osamu, Ryo Yamazaki, Hiroyuki Sano, et al.. (2016). Fat‐free mass index predicts survival in patients with idiopathic pulmonary fibrosis. Respirology. 22(3). 480–485. 46 indexed citations
11.
Sano, Hiroyuki, Takashi Iwanaga, Osamu Nishiyama, et al.. (2016). Characteristics of phenotypes of elderly patients with asthma. Allergology International. 65(2). 204–209. 10 indexed citations
12.
Nishiyama, Osamu, Hiroyuki Miyajima, Ryo Yamazaki, et al.. (2013). Effect of ambulatory oxygen on exertional dyspnea in IPF patients without resting hypoxemia. Respiratory Medicine. 107(8). 1241–1246. 50 indexed citations
13.
Higashimoto, Yuji, et al.. (2009). Serum biomarkers as predictors of lung function decline in chronic obstructive pulmonary disease. Respiratory Medicine. 103(8). 1231–1238. 96 indexed citations
14.
Higashimoto, Yuji, Yuko Yamagata, & Hidekazu Itoh. (2006). Complex Effect of Adenovirus Early Region Proteins on Innate Immune System. Inflammation & Allergy - Drug Targets. 5(4). 229–237. 8 indexed citations
15.
Ohta, Hiromi, Yuji Higashimoto, Shinya Koga, et al.. (2003). Occurrence of spontaneous polyploids from the eggs obtained by artificial induction of maturation in the Japanese eel (Anguilla japonica). Fish Physiology and Biochemistry. 28(1-4). 517–518. 9 indexed citations
16.
Higashimoto, Yuji, et al.. (2002). Inflammatory Mediator mRNA Expression by Adenovirus E1A-Transfected Bronchial Epithelial Cells. American Journal of Respiratory and Critical Care Medicine. 166(2). 200–207. 47 indexed citations
17.
Matsuba, Tokuji, Naoto Keicho, Yuji Higashimoto, et al.. (1998). Identification of Glucocorticoid- and Adenovirus E1A-regulated Genes in Lung Epithelial Cells by Differential Display. American Journal of Respiratory Cell and Molecular Biology. 18(2). 243–254. 7 indexed citations
18.
Matsuse, Takeshi, Yoshinosuke Fukuchi, Takahide Nagase, et al.. (1996). Detection of human T lymphotropic virus type I proviral DNA in patients with diffuse panbronchiolitis. Respirology. 1(2). 139–144. 7 indexed citations
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Fujimoto, Kazumi, et al.. (1994). Effect of aging on plasma 1,5-anhydroglucitol levels in humans and rats. Diabetes Research and Clinical Practice. 25(1). 35–41. 4 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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