Mikio Doi
Impact in
- Internal Medicine top 10%
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Medical Imaging and Pathology Studies 2
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- Liver Disease Diagnosis and Treatment 3
- Hepatitis B Virus Studies 2
- Co-authors
- Takesaburo Ogata (7 shared papers)Fujiko Irie (4 shared papers)Toshimi Sairenchi (4 shared papers)Hiroyasu Iso (4 shared papers)Tsuneo Fujita (3 shared papers)Hiroyuki Noda (3 shared papers)Yoko Izumi (3 shared papers)Hideo Tsurushima (2 shared papers)
In The Last Decade
Mikio Doi
40 papers receiving 923 citations
Peers
Comparison fields: 5 of 112
- Internal Medicine 44
- Hepatology 84
- Neurology 150
- Endocrinology, Diabetes and Metabolism 150
- Cellular and Molecular Neuroscience 135
Countries citing papers authored by Mikio Doi
This map shows the geographic impact of Mikio Doi'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 Mikio Doi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikio Doi more than expected).
Fields of papers citing papers by Mikio Doi
This network shows the impact of papers produced by Mikio Doi. 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 Mikio Doi. The network helps show where Mikio Doi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mikio Doi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 104 | |
| 2 | 2004 | 88 | |
| 3 | 1999 | 87 | |
| 4 | 1997 | 46 | |
| 5 | 1995 | 45 | |
| 6 | 2003 | 41 | |
| 7 | 1990 | 40 | |
| 8 | 2008 | 35 | |
| 9 | 1997 | 34 | |
| 10 | 2006 | 34 | |
| 11 | 2009 | 34 | |
| 12 | 1993 | 33 | |
| 13 | 1990 | 33 | |
| 14 | 1998 | 28 | |
| 15 | 2006 | 26 | |
| 16 | 2003 | 25 | |
| 17 | 2001 | 22 | |
| 18 | 2014 | 21 | |
| 19 | 1990 | 20 | |
| 20 | 2001 | 18 |
About Mikio Doi
Mikio Doi is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 40 papers that have together received 954 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Genetic Neurodegenerative Diseases (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Medical Imaging and Pathology Studies (2 papers), Hepatitis B Virus Studies (2 papers), RNA regulation and disease (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). The work is most often cited by research in Internal Medicine (44 citations), Hepatology (84 citations), Neurology (150 citations), Endocrinology, Diabetes and Metabolism (150 citations) and Cellular and Molecular Neuroscience (135 citations). Mikio Doi has collaborated with scholars based in Japan and India. Frequent co-authors include Takesaburo Ogata, Fujiko Irie, Toshimi Sairenchi, Hiroyasu Iso, Tsuneo Fujita, Hiroyuki Noda, Yoko Izumi, Hideo Tsurushima, Y Tomono and Kozo Tanno. Their work appears in journals such as Forensic Science International, Legal Medicine, Endocrinology, Neurosurgery and Journal of Gastroenterology.
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.