Hiroshi Bando

5.0k total citations
389 papers, 3.8k citations indexed

About

Hiroshi Bando is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Hiroshi Bando has authored 389 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Endocrinology, Diabetes and Metabolism, 92 papers in Physiology and 71 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Hiroshi Bando's work include Diet and metabolism studies (73 papers), Diet, Metabolism, and Disease (48 papers) and Metabolism, Diabetes, and Cancer (33 papers). Hiroshi Bando is often cited by papers focused on Diet and metabolism studies (73 papers), Diet, Metabolism, and Disease (48 papers) and Metabolism, Diabetes, and Cancer (33 papers). Hiroshi Bando collaborates with scholars based in Japan, Poland and United States. Hiroshi Bando's co-authors include Y. Aiura, Ruiping Wang, Mitsuru Itoh, Hiroyuki Anzai, Takehiko Ishiguro, Koji Kajimura, Gunzi Saito, M. Tokumoto, Keizo Murata and Y. Nishihara and has published in prestigious journals such as Nature, Physical Review Letters and Physical review. B, Condensed matter.

In The Last Decade

Hiroshi Bando

335 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Bando Japan 32 1.7k 1.4k 869 813 493 389 3.8k
Xiang Sun China 36 845 0.5× 2.8k 2.0× 1.4k 1.6× 306 0.4× 113 0.2× 163 4.8k
Masafumi Shirai Japan 43 3.8k 2.3× 2.9k 2.1× 729 0.8× 1.0k 1.3× 578 1.2× 276 6.6k
Hirohiko Sato Japan 27 787 0.5× 1.2k 0.8× 489 0.6× 467 0.6× 158 0.3× 151 3.8k
Takashi Nomura Japan 27 739 0.4× 1.9k 1.4× 590 0.7× 154 0.2× 88 0.2× 115 3.7k
Akira Matsuo Japan 31 2.0k 1.2× 912 0.7× 190 0.2× 2.0k 2.5× 48 0.1× 325 4.7k
Shin‐ichiro Inoue Japan 20 859 0.5× 1.3k 0.9× 753 0.9× 901 1.1× 212 0.4× 79 2.5k
David W. Snyder United States 37 365 0.2× 1.9k 1.4× 1.3k 1.5× 230 0.3× 49 0.1× 147 4.5k
K. Sugawara Japan 38 1.4k 0.8× 2.2k 1.6× 838 1.0× 1.1k 1.4× 22 0.0× 162 4.9k
A. K. Grover India 32 652 0.4× 474 0.3× 367 0.4× 956 1.2× 50 0.1× 216 3.2k
H. Fujii Japan 42 2.3k 1.4× 3.5k 2.5× 350 0.4× 2.4k 3.0× 46 0.1× 332 7.6k

Countries citing papers authored by Hiroshi Bando

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Bando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Bando

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Bando. A scholar is included among the top collaborators of Hiroshi Bando 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 Hiroshi Bando. Hiroshi Bando 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
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Bando, Hiroshi, et al.. (2024). Improvement of HbA1c, Weight and Fatty Liver by Short Treatment of Imeglimin (Twymeeg). 7(1). 30–35. 1 indexed citations
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Bando, Hiroshi, et al.. (2022). Useful meal tolerance test (MTT) for carbohydrate amount and post-prandial blood glucose. International Journal of Complementary & Alternative Medicine. 15(1). 47–49. 2 indexed citations
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Bando, Hiroshi, et al.. (2022). Fasting period after Rybelsus administration influences clinical benefit. International Journal of Complementary & Alternative Medicine. 15(3). 151–152. 1 indexed citations
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Bando, Hiroshi. (2021). Recent Fundamental Perspective of Effective and Safer Movement for Running. Journal of Novel Physiotherapies. 11(1). 1 indexed citations
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Bando, Hiroshi. (2021). The Perspective of Social Determinants of Health (SDOH) for Diabetes Mellitus. 1(1). 102. 1 indexed citations
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Bando, Hiroshi. (2020). Future research direction from the perspective of music therapy. 4(2). 54–56. 2 indexed citations
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Bando, Hiroshi, et al.. (2019). Pole Exercise on Thorax Cage and its Influence on the Flexibility in Low Back-pain Patients. Journal of Novel Physiotherapies. 9(4). 418. 1 indexed citations
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Bando, Hiroshi & Mitsuru Murakami. (2019). The Function of Sole for Movement with Anterior Transverse Arch (ATA). Acta Scientific Orthopaedics. 2(3). 15–17. 2 indexed citations
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Hayashi, Miho, et al.. (2019). Rapid Efficacy of Low Carbohydrate Diet for Diabetic Patient by Use of FreeStyle Libre. 4(1). 138. 1 indexed citations
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Murakami, Mitsuru & Hiroshi Bando. (2018). Forward Leaning and Two Axis Operation for Effective and Safe Running. 3(4). 1042. 6 indexed citations
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Wang, Ruiping, et al.. (2011). Effects of A-Site Ions on the Phase Transition Temperatures and Dielectric Properties of ($1-x$)(Na. Japanese Journal of Applied Physics. 50(9). 7 indexed citations
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Ishiguro, Takehiko, et al.. (1988). Superconductivity in (TMTSF)_2CIO_4 and β-(BEDT-TTF)_2I_3 : III. Organics. 1. 174–180. 1 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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