Masatoshi Makuuchi
- Hepatology top 0.2%
- Hepatocellular Carcinoma Treatment and Prognosis 28
- Liver Disease and Transplantation 19
- Liver physiology and pathology 8
- Surgery top 2%
- Organ Transplantation Techniques and Outcomes 28
- Cholangiocarcinoma and Gallbladder Cancer Studies 18
- Pediatric Hepatobiliary Diseases and Treatments 8
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment 17
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research 6
- Co-authors
- Seiji KawasakiHiroshi HasegawaShinichi MiyagawaSusumu YamazakiKenichi TakayasuTohru KakazuNobuo OkazakiTadatoshi Takayama
- Cited by
- HepatologySurgeryEpidemiology
- Journals
- Surgery (6 papers)Japanese Journal of Clinical Oncology (4 papers)Transplantation (4 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masatoshi Makuuchi
102 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 104
- Hepatology 2.2k
- Surgery 1.7k
- Epidemiology 1.1k
- Oncology 641
- Pulmonary and Respiratory Medicine 633
Countries citing papers authored by Masatoshi Makuuchi
This map shows the geographic impact of Masatoshi Makuuchi'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 Makuuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masatoshi Makuuchi more than expected).
Fields of papers citing papers by Masatoshi Makuuchi
This network shows the impact of papers produced by Masatoshi Makuuchi. 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 Makuuchi. The network helps show where Masatoshi Makuuchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masatoshi Makuuchi, 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 | Modeling and analysis of drug concentration-effect and time course patterns in gene expression data from microarray experiments. | 2005 | 3 |
| 2 | 2001 | 25 | |
| 3 | 2000 | 4 | |
| 4 | 1999 | 42 | |
| 5 | 1999 | 1 | |
| 6 | 1999 | 3 | |
| 7 | 1999 | 4 | |
| 8 | 1998 | 60 | |
| 9 | 1998 | 7 | |
| 10 | 1997 | 32 | |
| 11 | 1995 | 321 | |
| 12 | 1994 | 2 | |
| 13 | 1994 | 71 | |
| 14 | 1994 | 1 | |
| 15 | 1993 | 30 | |
| 16 | 1993 | 7 | |
| 17 | 1991 | 30 | |
| 18 | 1990 | 3 | |
| 19 | 1989 | 2 | |
| 20 | 1986 | 2 |
About Masatoshi Makuuchi
Masatoshi Makuuchi is a scholar working on Hepatology, Surgery and Transplantation, having authored 104 papers that have together received 3.3k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (28 papers), Hepatocellular Carcinoma Treatment and Prognosis (28 papers), Liver Disease and Transplantation (19 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (18 papers), Liver Disease Diagnosis and Treatment (17 papers), Liver physiology and pathology (8 papers), Pediatric Hepatobiliary Diseases and Treatments (8 papers) and Pancreatic and Hepatic Oncology Research (6 papers). The work is most often cited by research in Hepatology (2.2k citations), Surgery (1.7k citations) and Epidemiology (1.1k citations). Masatoshi Makuuchi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Seiji Kawasaki, Hiroshi Hasegawa, Shinichi Miyagawa, Susumu Yamazaki, Kenichi Takayasu, Tohru Kakazu, Nobuo Okazaki, Tadatoshi Takayama, S Hirohashi and T Kosuge. Their work appears in journals such as Surgery, Japanese Journal of Clinical Oncology, Transplantation, Surgery Today and American Journal of Roentgenology.
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.