Daisyu Toya
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis 7
- Hepatitis C virus research 5
- Liver Disease and Transplantation 4
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- Diabetes Management and Research 7
- Diabetes, Cardiovascular Risks, and Lipoproteins 7
- Diabetes Treatment and Management 7
- Surgery top 10%
- Organ Transplantation Techniques and Outcomes 4
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- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Nobuyoshi TanakaShiro MiyayamaKazuo NotsumataOsamu MatsuiTakeshi MitsuiYoshiyuki BandoYasuji RyuMasashi Yamashiro
- Journals
- Diabetes Care (1 paper)Diabetes Research and Clinical Practice (3 papers)Journal of Vascular and Interventional Radiology (5 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Daisyu Toya
35 papers receiving 726 citations
Peers
Comparison fields: 5 of 65
- Hepatology 441
- Endocrinology, Diabetes and Metabolism 154
- Surgery 294
- Epidemiology 191
- Pulmonary and Respiratory Medicine 152
Countries citing papers authored by Daisyu Toya
This map shows the geographic impact of Daisyu Toya'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 Daisyu Toya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisyu Toya more than expected).
Fields of papers citing papers by Daisyu Toya
This network shows the impact of papers produced by Daisyu Toya. 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 Daisyu Toya. The network helps show where Daisyu Toya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daisyu Toya, 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 | 2017 | 31 | |
| 2 | 2016 | 20 | |
| 3 | 2016 | 1 | |
| 4 | 2015 | 1 | |
| 5 | 2015 | 3 | |
| 6 | 2015 | 6 | |
| 7 | 2014 | 3 | |
| 8 | 2011 | 31 | |
| 9 | 2011 | 1 | |
| 10 | 2010 | 50 | |
| 11 | 2010 | 32 | |
| 12 | 2009 | 16 | |
| 13 | 2007 | 9 | |
| 14 | 2006 | 4 | |
| 15 | 2005 | 113 | |
| 16 | 2004 | 17 | |
| 17 | 2004 | 13 | |
| 18 | 2003 | 40 | |
| 19 | 2001 | 29 | |
| 20 | 1998 | 7 |
About Daisyu Toya
Daisyu Toya is a scholar working on Hepatology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 35 papers that have together received 739 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Diabetes Management and Research (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Diabetes Treatment and Management (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Hepatitis C virus research (5 papers), Liver Disease and Transplantation (4 papers) and Organ Transplantation Techniques and Outcomes (4 papers). The work is most often cited by research in Hepatology (441 citations), Endocrinology, Diabetes and Metabolism (154 citations) and Surgery (294 citations). Daisyu Toya has collaborated with scholars based in Japan and United States. Frequent co-authors include Nobuyoshi Tanaka, Shiro Miyayama, Kazuo Notsumata, Osamu Matsui, Takeshi Mitsui, Yoshiyuki Bando, Yasuji Ryu, Masashi Yamashiro, Hideo Kanehara and Taro Takeda. Their work appears in journals such as Diabetes Care, Diabetes Research and Clinical Practice and Journal of Vascular and Interventional Radiology.
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.