Takamichi Murakami
- Hepatology top 0.1%
- Hepatocellular Carcinoma Treatment and Prognosis 170
- Liver Disease and Transplantation 48
-
- MRI in cancer diagnosis 123
- Advanced MRI Techniques and Applications 63
- Medical Imaging Techniques and Applications 36
- Radiomics and Machine Learning in Medical Imaging 27
- Epidemiology top 0.5%
- Liver Disease Diagnosis and Treatment 90
- Oncology top 1%
- Surgery top 1%
-
- Advanced X-ray and CT Imaging 31
- Co-authors
- Masatoshi HoriHironobu NakamuraTonsok KimMasahiro OkadaMasatoshi KudoMasakatsu TsurusakiHajime NakamuraSeishi Kumano
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (3 papers)Gastroenterology (1 paper)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Takamichi Murakami
403 papers receiving 10.4k citations
Peers
Comparison fields: 5 of 147
- Hepatology 5.1k
- Radiology, Nuclear Medicine and Imaging 4.2k
- Epidemiology 3.7k
- Oncology 1.8k
- Surgery 2.8k
Countries citing papers authored by Takamichi Murakami
This map shows the geographic impact of Takamichi Murakami'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 Takamichi Murakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takamichi Murakami more than expected).
Fields of papers citing papers by Takamichi Murakami
This network shows the impact of papers produced by Takamichi Murakami. 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 Takamichi Murakami. The network helps show where Takamichi Murakami may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takamichi Murakami, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 16 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 0 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 19 | |
| 15 | 2021 | 2 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 17 | |
| 18 | 2020 | 17 | |
| 19 | 2018 | 6 | |
| 20 | Angiomyolipoma of the liver. Ultrasound, CT, MR imaging and angiography. | 1993 | 21 |
About Takamichi Murakami
Takamichi Murakami is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 426 papers that have together received 10.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (170 papers), MRI in cancer diagnosis (123 papers), Liver Disease Diagnosis and Treatment (90 papers), Advanced MRI Techniques and Applications (63 papers), Liver Disease and Transplantation (48 papers), Medical Imaging Techniques and Applications (36 papers), Advanced X-ray and CT Imaging (31 papers) and Radiomics and Machine Learning in Medical Imaging (27 papers). The work is most often cited by research in Hepatology (5.1k citations), Radiology, Nuclear Medicine and Imaging (4.2k citations) and Epidemiology (3.7k citations). Takamichi Murakami has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Masatoshi Hori, Hironobu Nakamura, Tonsok Kim, Masahiro Okada, Masatoshi Kudo, Masakatsu Tsurusaki, Hajime Nakamura, Seishi Kumano, Kaname Tomoda and Manabu Takamura. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and 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.