Masachika Tani
- Molecular Biology top 5%
- Oncology top 5%
- Pathology and Forensic Medicine top 5%
- Cancer Research top 5%
- Genetics top 10%
- Co-authors
- Jun YokotaTakashi KohnoKazuya ShinmuraSu-Ryang KimTakehiko NohmiHiroshi KasaiMasahiko TosakaEric R. Fearon
- Topics
- Epigenetics and DNA Methylation (6 papers)RNA modifications and cancer (6 papers)Cancer Research and Treatments (5 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineGenes & Development
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masachika Tani
34 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.3k
- Oncology 458
- Pathology and Forensic Medicine 336
- Cancer Research 329
- Genetics 274
Countries citing papers authored by Masachika Tani
This map shows the geographic impact of Masachika Tani'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 Masachika Tani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masachika Tani more than expected).
Fields of papers citing papers by Masachika Tani
This network shows the impact of papers produced by Masachika Tani. 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 Masachika Tani. The network helps show where Masachika Tani may publish in the future.
Co-authorship network of co-authors of Masachika Tani
This figure shows the co-authorship network connecting the top 25 collaborators of Masachika Tani. A scholar is included among the top collaborators of Masachika Tani 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 Masachika Tani. Masachika Tani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 53 | |
| 5 | 34 | |
| 6 | 16 | |
| 7 | 17 | |
| 8 | 26 | |
| 9 | 73 | |
| 10 | 180 | |
| 11 | 55 | |
| 12 | 30 | |
| 13 | 14 | |
| 14 | 392 | |
| 15 | 46 | |
| 16 | 47 | |
| 17 | 29 | |
| 18 | 34 | |
| 19 | Preoperative and postoperative adjuvant chemotherapy for colorectal cancer - Results of 5-year survival using UFT. A pilot study | 3 |
| 20 | Surgical and medical management of patients with pulmonary metastasis from parathyroid carcinoma. | 48 |
About Masachika Tani
Masachika Tani is a scholar working on Biotechnology, Oncology and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (6 papers) and Cancer Research and Treatments (5 papers). The work is most often cited by research in Cancer Research (329 citations), Molecular Biology (1.3k citations) and Pathology and Forensic Medicine (336 citations). Masachika Tani has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Jun Yokota, Takashi Kohno, Kazuya Shinmura, Jun Yokota, Su-Ryang Kim, Takehiko Nohmi, Hiroshi Kasai, Masahiko Tosaka, Eric R. Fearon and Haruhiko Sugimura. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Genes & Development.
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.