Hiroki Daijo

486 total citations
21 papers, 346 citations indexed

About

Hiroki Daijo is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hiroki Daijo has authored 21 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hiroki Daijo's work include Cancer, Hypoxia, and Metabolism (8 papers), Cardiac Valve Diseases and Treatments (5 papers) and Infective Endocarditis Diagnosis and Management (5 papers). Hiroki Daijo is often cited by papers focused on Cancer, Hypoxia, and Metabolism (8 papers), Cardiac Valve Diseases and Treatments (5 papers) and Infective Endocarditis Diagnosis and Management (5 papers). Hiroki Daijo collaborates with scholars based in Japan and United States. Hiroki Daijo's co-authors include Kiichi Hirota, Tomoharu Tanaka, Kazuhiko Fukuda, Shinichi Kai, Hiroshi Harada, Satoshi Takabuchi, Kengo Suzuki, Kenichiro Nishi, Seiko Oda and Takehiko Adachi and has published in prestigious journals such as Circulation, PLoS ONE and Scientific Reports.

In The Last Decade

Hiroki Daijo

20 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroki Daijo Japan 10 91 81 67 65 57 21 346
Aimin Li China 13 81 0.9× 157 1.9× 62 0.9× 24 0.4× 64 1.1× 45 573
Farnaz R. Bakhshi United States 8 35 0.4× 183 2.3× 49 0.7× 21 0.3× 56 1.0× 15 439
Jessica Siegler United States 9 37 0.4× 150 1.9× 78 1.2× 32 0.5× 107 1.9× 15 547
Ju Eun Oh South Korea 10 41 0.5× 126 1.6× 13 0.2× 16 0.2× 44 0.8× 24 360
Rosemary Dineen Ireland 14 66 0.7× 96 1.2× 159 2.4× 11 0.2× 249 4.4× 21 601
Sarah Paul United States 10 121 1.3× 110 1.4× 138 2.1× 47 0.7× 38 0.7× 18 535
Gerardo Rodriguez‐Araujo United States 9 73 0.8× 118 1.5× 34 0.5× 40 0.6× 75 1.3× 18 529
M. J. Oehmke Austria 10 69 0.8× 89 1.1× 27 0.4× 9 0.1× 111 1.9× 19 321
Zuneng Lu China 12 30 0.3× 109 1.3× 72 1.1× 11 0.2× 58 1.0× 51 460
Masaru Doi Japan 18 50 0.5× 132 1.6× 44 0.7× 22 0.3× 392 6.9× 33 843

Countries citing papers authored by Hiroki Daijo

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Daijo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroki Daijo

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Daijo. A scholar is included among the top collaborators of Hiroki Daijo 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 Hiroki Daijo. Hiroki Daijo 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.
2.
Daijo, Hiroki, et al.. (2017). Effect of propofol on androgen receptor activity in prostate cancer cells. European Journal of Pharmacology. 809. 242–252. 11 indexed citations
3.
Uehara, Kyokun, Kenji Minakata, Naritatsu Saito, et al.. (2017). Use of extracorporeal membrane oxygenation in complicated transcatheter aortic valve replacement. General Thoracic and Cardiovascular Surgery. 65(6). 329–336. 11 indexed citations
4.
Daijo, Hiroki, Yuma Hoshino, Shinichi Kai, et al.. (2016). Cigarette smoke reversibly activates hypoxia-inducible factor 1 in a reactive oxygen species-dependent manner. Scientific Reports. 6(1). 34424–34424. 58 indexed citations
5.
Minakata, Kenji, Kazuhiro Yamazaki, Kentaro Watanabe, et al.. (2015). Successful surgical aortic valve replacement for prosthetic valve infective endocarditis following transcatheter aortic valve implantation. Journal of Cardiology Cases. 12(1). 20–22. 1 indexed citations
6.
Mizota, Toshiyuki, Shino Matsukawa, Hiroki Daijo, et al.. (2015). The clinical course of anesthetic induction in lung transplant recipients with pulmonary complications after hematopoietic stem cell transplantation. Journal of Anesthesia. 29(4). 562–569. 1 indexed citations
7.
Saito, Naritatsu, Masao Imai, Kenji Minakata, et al.. (2015). Successful balloon aortic valvuloplasty as a bridge therapy to transcatheter aortic valve implantation during the proctoring period. Journal of Cardiology Cases. 12(4). 113–116. 1 indexed citations
8.
Tanaka, Tomoharu, et al.. (2015). Midazolam inhibits the hypoxia-induced up-regulation of erythropoietin in the central nervous system. European Journal of Pharmacology. 761. 189–198. 3 indexed citations
9.
10.
11.
Mizota, Toshiyuki, Shino Matsukawa, Hiroki Daijo, et al.. (2014). Preoperative Hypercapnia as a Predictor of Hypotension During Anesthetic Induction in Lung Transplant Recipients. Journal of Cardiothoracic and Vascular Anesthesia. 29(4). 967–971. 4 indexed citations
12.
Mizota, Toshiyuki, et al.. (2013). Orthostatic intolerance during early mobilization following video-assisted thoracic surgery. Journal of Anesthesia. 27(6). 895–900. 19 indexed citations
13.
Kai, Shinichi, Tomoharu Tanaka, Hiroki Daijo, et al.. (2011). Hydrogen Sulfide Inhibits Hypoxia- But Not Anoxia-Induced Hypoxia-Inducible Factor 1 Activation in a von Hippel-Lindau- and Mitochondria-Dependent Manner. Antioxidants and Redox Signaling. 16(3). 203–216. 68 indexed citations
14.
Daijo, Hiroki, Shinichi Kai, Tomoharu Tanaka, et al.. (2011). Fentanyl activates hypoxia-inducible factor 1 in neuronal SH-SY5Y cells and mice under non-hypoxic conditions in a μ-opioid receptor-dependent manner. European Journal of Pharmacology. 667(1-3). 144–152. 21 indexed citations
15.
Tanaka, Tomoharu, Shinichi Kai, Hiroki Daijo, et al.. (2011). General Anesthetics Inhibit Erythropoietin Induction under Hypoxic Conditions in the Mouse Brain. PLoS ONE. 6(12). e29378–e29378. 31 indexed citations
16.
Daijo, Hiroki, et al.. (2010). Unexpectedly difficult intubation caused by subglottic stenosis in Wegener’s granulomatosis. Journal of Anesthesia. 24(2). 284–286. 2 indexed citations
17.
Yazawa, Tomoko, et al.. (2010). Anesthesia management for emergency laparotomy in a pediatric patient with suspected hereditary angioedema. Journal of Anesthesia. 24(1). 121–123. 3 indexed citations
18.
Tanaka, Tomoharu, Satoshi Takabuchi, Kenichiro Nishi, et al.. (2009). The intravenous anesthetic propofol inhibits lipopolysaccharide-induced hypoxia-inducible factor 1 activation and suppresses the glucose metabolism in macrophages. Journal of Anesthesia. 24(1). 54–60. 46 indexed citations
19.
Tanaka, Tomoharu, Seiko Oda, Kenichiro Nishi, et al.. (2009). The intravenous anesthetics barbiturates inhibit hypoxia-inducible factor 1 activation. European Journal of Pharmacology. 617(1-3). 17–22. 21 indexed citations
20.
Daijo, Hiroki, et al.. (2008). [Postextubation laryngeal edema seven years after undergoing neck dissection].. PubMed. 57(5). 631–4. 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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