Sei Kakinuma
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Liver physiology and pathology
- Hepatocellular Carcinoma Treatment and Prognosis
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Hepatology 57
- Hepatitis C virus research 34
- Liver physiology and pathology 16
- Liver Disease and Transplantation 5
- Epidemiology 19
- Hepatitis B Virus Studies 12
- Liver Disease Diagnosis and Treatment 10
- Co-authors
- Mamoru Watanabe (53 shared papers)Mina Nakagawa (53 shared papers)Naoya Sakamoto (28 shared papers)Yasuhiro Itsui (35 shared papers)Hiromitsu Nakauchi (10 shared papers)Nobuyuki Enomoto (10 shared papers)Yoko Tanabe (9 shared papers)Shinya Maekawa (9 shared papers)
- Journals
- Hepatology Research (9 papers)Journal of Hepatology (6 papers)Hepatology (6 papers)Journal of Gastroenterology (5 papers)Journal of Gastroenterology and Hepatology (4 papers)
- Partner nations
- JapanUnited StatesMexico
In The Last Decade
Sei Kakinuma
71 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 94
- Hepatology 1.7k
- Epidemiology 815
- Immunology 428
- Genetics 157
- Virology 66
Countries citing papers authored by Sei Kakinuma
This map shows the geographic impact of Sei Kakinuma'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 Sei Kakinuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sei Kakinuma more than expected).
Fields of papers citing papers by Sei Kakinuma
This network shows the impact of papers produced by Sei Kakinuma. 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 Sei Kakinuma. The network helps show where Sei Kakinuma may publish in the future.
Co-authors
The 25 scholars most cited alongside Sei Kakinuma, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 209 | |
| 2 | 2003 | 184 | |
| 3 | 2013 | 181 | |
| 4 | 2005 | 174 | |
| 5 | 2003 | 158 | |
| 6 | 2017 | 140 | |
| 7 | 2009 | 132 | |
| 8 | 2012 | 126 | |
| 9 | 2006 | 114 | |
| 10 | 2004 | 102 | |
| 11 | 2001 | 84 | |
| 12 | 2008 | 84 | |
| 13 | 2004 | 77 | |
| 14 | 2009 | 76 | |
| 15 | 2009 | 65 | |
| 16 | 2010 | 57 | |
| 17 | 2016 | 52 | |
| 18 | 2009 | 49 | |
| 19 | 2011 | 48 | |
| 20 | 2010 | 48 |
About Sei Kakinuma
Sei Kakinuma is a scholar working on Hepatology, Epidemiology, Surgery, Molecular Biology and Immunology, having authored 74 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hepatitis C virus research (34 papers), Liver physiology and pathology (16 papers), Hepatitis B Virus Studies (12 papers), Liver Disease Diagnosis and Treatment (10 papers), Pluripotent Stem Cells Research (5 papers), interferon and immune responses (5 papers), Systemic Lupus Erythematosus Research (5 papers) and Liver Disease and Transplantation (5 papers). The work is most often cited by research in Hepatology (1.7k citations), Epidemiology (815 citations), Immunology (428 citations), Genetics (157 citations) and Virology (66 citations). Sei Kakinuma has collaborated with scholars based in Japan, United States and Mexico. Frequent co-authors include Mamoru Watanabe, Mina Nakagawa, Naoya Sakamoto, Yasuhiro Itsui, Hiromitsu Nakauchi, Nobuyuki Enomoto, Yoko Tanabe, Shinya Maekawa, Masayuki Kurosaki and Seishin Azuma. Their work appears in journals such as Hepatology Research, Journal of Hepatology, Hepatology, Journal of Gastroenterology and Journal of Gastroenterology and Hepatology.
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.