Hiroki Hase

2.2k total citations
76 papers, 1.3k citations indexed

About

Hiroki Hase is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hiroki Hase has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Nephrology, 30 papers in Cardiology and Cardiovascular Medicine and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hiroki Hase's work include Dialysis and Renal Disease Management (32 papers), Cardiac Imaging and Diagnostics (21 papers) and Erythropoietin and Anemia Treatment (18 papers). Hiroki Hase is often cited by papers focused on Dialysis and Renal Disease Management (32 papers), Cardiac Imaging and Diagnostics (21 papers) and Erythropoietin and Anemia Treatment (18 papers). Hiroki Hase collaborates with scholars based in Japan, United States and Greece. Hiroki Hase's co-authors include Nobuhiko Joki, Tetsu Yamaguchi, Ryoichi Nakamura, Yuri Tanaka, Yoshihiko Imamura, Ken Sakai, Yasushi Ohashi, Yasunori Takahashi, Tadao Akizawa and Yoji Inishi and has published in prestigious journals such as PLoS ONE, Kidney International and The American Journal of Cardiology.

In The Last Decade

Hiroki Hase

71 papers receiving 1.3k 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 Hase Japan 19 525 466 258 254 251 76 1.3k
Ernesto Paoletti Italy 26 824 1.6× 964 2.1× 99 0.4× 311 1.2× 165 0.7× 79 2.0k
Christiane M. Erley Germany 22 873 1.7× 387 0.8× 220 0.9× 512 2.0× 73 0.3× 72 2.1k
Luca Di Lullo Italy 26 839 1.6× 876 1.9× 123 0.5× 293 1.2× 70 0.3× 112 2.0k
François Madore Canada 25 639 1.2× 362 0.8× 35 0.1× 289 1.1× 199 0.8× 73 1.4k
Iris Kingma Canada 21 372 0.7× 685 1.5× 79 0.3× 244 1.0× 350 1.4× 39 1.4k
Constantinos G. Missouris United Kingdom 18 113 0.2× 801 1.7× 146 0.6× 253 1.0× 606 2.4× 87 1.9k
Robert Zymliński Poland 21 281 0.5× 952 2.0× 48 0.2× 192 0.8× 159 0.6× 89 1.4k
G. Buccianti Italy 19 689 1.3× 383 0.8× 51 0.2× 249 1.0× 114 0.5× 49 1.7k
Mareev VIu Russia 17 103 0.2× 1.3k 2.8× 82 0.3× 173 0.7× 622 2.5× 111 2.0k
Inga Soveri Sweden 16 757 1.4× 163 0.3× 66 0.3× 224 0.9× 69 0.3× 30 1.4k

Countries citing papers authored by Hiroki Hase

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Hase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroki Hase

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Hase. A scholar is included among the top collaborators of Hiroki Hase 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 Hase. Hiroki Hase 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.
Yamagata, Kunihiro, Hiroyasu Yamamoto, Kazuhiko Tsuruya, et al.. (2023). Predictors of Hyporesponsiveness to Erythropoiesis-Stimulating Agents in Patients with Non-Dialysis-Dependent Chronic Kidney Disease (RADIANCE-CKD Study). American Journal of Nephrology. 54(11-12). 471–478.
2.
Nangaku, Masaomi, et al.. (2020). Randomized Clinical Trial on the Effect of Bardoxolone Methyl on GFR in Diabetic Kidney Disease Patients (TSUBAKI Study). Kidney International Reports. 5(6). 879–890. 97 indexed citations
3.
Nakajima, Kenichi, Satoko Nakamura, Hiroki Hase, et al.. (2018). Risk stratification based on J-ACCESS risk models with myocardial perfusion imaging: Risk versus outcomes of patients with chronic kidney disease. Journal of Nuclear Cardiology. 27(1). 41–50. 7 indexed citations
4.
5.
Asakawa, Takasuke, Toshihide Hayashi, Yuri Tanaka, Nobuhiko Joki, & Hiroki Hase. (2015). Changes over the last decade in carotid atherosclerosis in patients with end-stage kidney disease. Atherosclerosis. 240(2). 535–543. 4 indexed citations
6.
Hayashi, Toshihide, Yuri Tanaka, Masaki Iwasaki, et al.. (2015). Usefulness of an Upright T-Wave in Lead aVR for Predicting the Short-Term Prognosis of Incident Hemodialysis Patients: A Potential Tool for Screening High-Risk Hemodialysis Patients. Cardiorenal Medicine. 5(4). 267–277. 3 indexed citations
7.
Hayashi, Toshihide, Nobuhiko Joki, Yuri Tanaka, et al.. (2015). The FRAX® as a predictor of mortality in Japanese incident hemodialysis patients: an observational, follow-up study. Journal of Bone and Mineral Metabolism. 33(6). 674–683. 8 indexed citations
8.
Hase, Hiroki. (2014). The pathogenesis and therapeutic strategy for cardiovascular disease in patients with chronic kidney disease. Journal of the Japanese Society of Intensive Care Medicine. 21(5). 487–492.
9.
Kuragano, Takahiro, Osamu Matsumura, Akihiko Matsuda, et al.. (2014). Association between hemoglobin variability, serum ferritin levels, and adverse events/mortality in maintenance hemodialysis patients. Kidney International. 86(4). 845–854. 130 indexed citations
10.
11.
Mizuiri, Sonoo, Hiromichi Hemmi, Michitsune Arita, et al.. (2010). Increased ACE and Decreased ACE2 Expression in Kidneys from Patients with IgA Nephropathy. Nephron Clinical Practice. 117(1). c57–c66. 30 indexed citations
12.
Mizuiri, Sonoo, Hiromichi Hemmi, Michitsune Arita, et al.. (2008). Expression of ACE and ACE2 in Individuals With Diabetic Kidney Disease and Healthy Controls. American Journal of Kidney Diseases. 51(4). 613–623. 179 indexed citations
13.
Hase, Hiroki, Nobuhiko Joki, Hiroyasu Ishikawa, et al.. (2006). Independent Risk Factors for Progression of Coronary Atherosclerosis in Hemodialysis Patients. Therapeutic Apheresis and Dialysis. 10(4). 321–327. 9 indexed citations
14.
Hase, Hiroki, Yuri Tanaka, Yasunori Takahashi, et al.. (2006). Risk factors for de novo acute cardiac events in patients initiating hemodialysis with no previous cardiac symptom. Kidney International. 70(6). 1142–1148. 32 indexed citations
15.
Joki, Nobuhiko, Hiroki Hase, Yuri Tanaka, et al.. (2006). Relationship between serum albumin level before initiating haemodialysis and angiographic severity of coronary atherosclerosis in end-stage renal disease patients. Nephrology Dialysis Transplantation. 21(6). 1633–1639. 32 indexed citations
16.
Joki, Nobuhiko, Hiroki Hase, & Yoshihiko Imamura. (2005). [Bone mineral density and vascular calcification].. PubMed. 15(7). 131–6. 1 indexed citations
17.
Kimura, Yasuo, et al.. (2003). Oxygen Uptake Efficiency Slope as Monitoring Tool for Physical Training in Chronic Hemodialysis Patients. Therapeutic Apheresis and Dialysis. 7(4). 461–467. 36 indexed citations
18.
Hase, Hiroki, Masato Nakamura, Nobuhiko Joki, et al.. (2001). Q8: Dialysis: outcome. Nephrology Dialysis Transplantation. 16(6). A161–A164. 1 indexed citations
19.
Hase, Hiroki, Masato Nakamura, Nobuhiko Joki, et al.. (2001). Independent predictors of restenosis after percutaneous coronary revascularization in haemodialysis patients. Nephrology Dialysis Transplantation. 16(12). 2372–2377. 29 indexed citations
20.
Hase, Hiroki, et al.. (1993). [Risk factors for coronary artery disease in Japanese patients with chronic renal failure].. PubMed. 35(6). 751–6. 2 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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