Tatsuya Rikimaru
- Hepatology top 2%
- Surgery top 10%
- Oncology top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Mitsuo ShimadaYo‐ichi YamashitaKen ShirabeKeizō SugimachiTakayuki HamatsuShinji TanakaK SugimachiKenichi Taguchi
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (9 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers)Liver Disease Diagnosis and Treatment (4 papers)
- Cited by
- HepatologyOncologyCancer Research
In The Last Decade
Tatsuya Rikimaru
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 85
- Hepatology 534
- Surgery 499
- Oncology 463
- Molecular Biology 440
- Pulmonary and Respiratory Medicine 276
Countries citing papers authored by Tatsuya Rikimaru
This map shows the geographic impact of Tatsuya Rikimaru'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 Tatsuya Rikimaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Rikimaru more than expected).
Fields of papers citing papers by Tatsuya Rikimaru
This network shows the impact of papers produced by Tatsuya Rikimaru. 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 Tatsuya Rikimaru. The network helps show where Tatsuya Rikimaru may publish in the future.
Co-authorship network of co-authors of Tatsuya Rikimaru
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Rikimaru. A scholar is included among the top collaborators of Tatsuya Rikimaru 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 Tatsuya Rikimaru. Tatsuya Rikimaru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 140 | |
| 3 | 49 | |
| 4 | Role of tissue trace elements in liver cancers and non-cancerous liver parenchyma. | 22 |
| 5 | 9 | |
| 6 | 39 | |
| 7 | 13 | |
| 8 | 10 | |
| 9 | 70 | |
| 10 | 12 | |
| 11 | 136 | |
| 12 | 45 | |
| 13 | 268 | |
| 14 | 85 | |
| 15 | 20 | |
| 16 | 44 | |
| 17 | 7 | |
| 18 | [Factors linked to 5-year survival after hepatectomy for hepatocellular carcinoma: univariate and multivariate analyses of 312 patients]. | 1 |
| 19 | 2 | |
| 20 | Observations on aflatoxins and the liver status of Ghanaian subjects. | 5 |
About Tatsuya Rikimaru
Tatsuya Rikimaru is a scholar working on Hepatology, Biochemistry and Nutrition and Dietetics, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Hepatology (534 citations), Oncology (463 citations) and Cancer Research (185 citations). Tatsuya Rikimaru has collaborated with scholars based in Japan and Ghana. Frequent co-authors include Mitsuo Shimada, Yo‐ichi Yamashita, Ken Shirabe, Keizō Sugimachi, Takayuki Hamatsu, Shinji Tanaka, Shinji Tanaka, K Sugimachi, Kenichi Taguchi and Eiji Tsujita. Their work appears in journals such as Annals of Surgery, International Journal of Cancer and Cancer Letters.
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.