Yasutoshi Muto
- Hepatology top 2%
- Epidemiology top 10%
- Molecular Biology
- Cancer Research
- Pathology and Forensic Medicine
- Co-authors
- Mitsuo NinomiyaEiichi TomitaKen TakasakiAkiko SaitoHisataka MoriwakiTakuji TanakaTakao KojimaToshiyuki Nakamura
- Topics
- Retinoids in leukemia and cellular processes (4 papers)Liver Disease Diagnosis and Treatment (4 papers)Liver Disease and Transplantation (3 papers)
- Journals
- New England Journal of MedicineBiochemical and Biophysical Research CommunicationsDigestive Diseases and Sciences
- Partner nations
- JapanUnited States
In The Last Decade
Yasutoshi Muto
14 papers receiving 790 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Hepatology 386
- Epidemiology 286
- Molecular Biology 283
- Cancer Research 118
- Pathology and Forensic Medicine 108
Countries citing papers authored by Yasutoshi Muto
This map shows the geographic impact of Yasutoshi Muto'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 Yasutoshi Muto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasutoshi Muto more than expected).
Fields of papers citing papers by Yasutoshi Muto
This network shows the impact of papers produced by Yasutoshi Muto. 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 Yasutoshi Muto. The network helps show where Yasutoshi Muto may publish in the future.
Co-authorship network of co-authors of Yasutoshi Muto
This figure shows the co-authorship network connecting the top 25 collaborators of Yasutoshi Muto. A scholar is included among the top collaborators of Yasutoshi Muto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yasutoshi Muto. Yasutoshi Muto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 28 | |
| 3 | 3 | |
| 4 | Prevention of Second Primary Tumors by an Acyclic Retinoid, Polyprenoic Acid, in Patients with Hepatocellular Carcinomabreakdown → | 513 |
| 5 | 79 | |
| 6 | 31 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 26 | |
| 10 | 8 | |
| 11 | 19 | |
| 12 | 14 | |
| 13 | 42 | |
| 14 | Inhibition of radiogenic and chemically induced transformation in C3H/10T-1/2 cells by a polyprenoic acid (E-5166). | 2 |
About Yasutoshi Muto
Yasutoshi Muto is a scholar working on Hepatology, Biochemistry and Pharmaceutical Science, having authored 14 papers that have together received 818 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Hepatology (386 citations), Biochemistry (99 citations) and Applied Microbiology and Biotechnology (27 citations). Yasutoshi Muto has collaborated with scholars based in Japan and United States. Frequent co-authors include Mitsuo Ninomiya, Eiichi Tomita, Ken Takasaki, Akiko Saito, Hisataka Moriwaki, Takuji Tanaka, Takao Kojima, Toshiyuki Nakamura, Kaito Tsurumi and Hisataka Moriwaki. Their work appears in journals such as New England Journal of Medicine, Biochemical and Biophysical Research Communications and Digestive Diseases and Sciences.
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.