Masatoshi Ishibashi
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- Medical Imaging Techniques and Applications 18
- Radiomics and Machine Learning in Medical Imaging 13
- Nephrology top 2%
- Parathyroid Disorders and Treatments 13
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- Medical Imaging and Pathology Studies 21
- Lung Cancer Diagnosis and Treatment 8
- Cerebrovascular and Carotid Artery Diseases 6
- Clinical Biochemistry top 5%
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- Pancreatic and Hepatic Oncology Research 8
- Bone health and treatments 6
- Co-authors
- Naofumi HayabuchiHayato KaidaNobuhiro TaharaTsutomu ImaizumiKenkichi BabaHiroyuki NakauraHisashi KaiYuji Hiromatsu
- Journals
- Journal of the American College of Cardiology (3 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)Neurology (1 paper)
- Partner nations
- JapanUnited StatesSlovenia
In The Last Decade
Masatoshi Ishibashi
115 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 105
- Radiology, Nuclear Medicine and Imaging 967
- Nephrology 265
- Pulmonary and Respiratory Medicine 1.1k
- Cardiology and Cardiovascular Medicine 515
- Clinical Biochemistry 122
Countries citing papers authored by Masatoshi Ishibashi
This map shows the geographic impact of Masatoshi Ishibashi'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 Masatoshi Ishibashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masatoshi Ishibashi more than expected).
Fields of papers citing papers by Masatoshi Ishibashi
This network shows the impact of papers produced by Masatoshi Ishibashi. 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 Masatoshi Ishibashi. The network helps show where Masatoshi Ishibashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masatoshi Ishibashi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 47 | |
| 2 | 2012 | 27 | |
| 3 | 2011 | 41 | |
| 4 | 2010 | 14 | |
| 5 | 2010 | 28 | |
| 6 | 2007 | 55 | |
| 7 | 2006 | 2 | |
| 8 | 2006 | 478 | |
| 9 | 2006 | 5 | |
| 10 | 2005 | 0 | |
| 11 | 2005 | 11 | |
| 12 | 2004 | 1 | |
| 13 | 2004 | 6 | |
| 14 | 2002 | 22 | |
| 15 | 1992 | 0 | |
| 16 | 1991 | 20 | |
| 17 | 1991 | 2 | |
| 18 | 1991 | 2 | |
| 19 | 1990 | 1 | |
| 20 | 1990 | 1 |
About Masatoshi Ishibashi
Masatoshi Ishibashi is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 123 papers that have together received 2.7k indexed citations. Recurring topics across this work include Medical Imaging and Pathology Studies (21 papers), Medical Imaging Techniques and Applications (18 papers), Parathyroid Disorders and Treatments (13 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Pancreatic and Hepatic Oncology Research (8 papers), Lung Cancer Diagnosis and Treatment (8 papers), Bone health and treatments (6 papers) and Cerebrovascular and Carotid Artery Diseases (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (967 citations), Nephrology (265 citations) and Pulmonary and Respiratory Medicine (1.1k citations). Masatoshi Ishibashi has collaborated with scholars based in Japan, United States and Slovenia. Frequent co-authors include Naofumi Hayabuchi, Hayato Kaida, Nobuhiro Tahara, Tsutomu Imaizumi, Kenkichi Baba, Hiroyuki Nakaura, Hisashi Kai, Yuji Hiromatsu, Minori Mizoguchi and Seiji Kurata. Their work appears in journals such as Journal of the American College of Cardiology, The Journal of Clinical Endocrinology & Metabolism and Neurology.
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.