Yuuki Takamura
- Endocrinology, Diabetes and Metabolism top 0.1%
- Surgery top 0.5%
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 2%
- Co-authors
- Akira MiyauchiYasuhiro ItoAkihiro MiyaKaoru KobayashiFumio MatsuzukaKanji KumaChisato TomodaTakashi Uruno
- Topics
- Thyroid Cancer Diagnosis and Treatment (89 papers)Thyroid and Parathyroid Surgery (52 papers)Head and Neck Anomalies (31 papers)
- Partner nations
- JapanSwedenUnited States
In The Last Decade
Yuuki Takamura
130 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Endocrinology, Diabetes and Metabolism 5.5k
- Surgery 4.0k
- Molecular Biology 1.1k
- Oncology 977
- Genetics 808
Countries citing papers authored by Yuuki Takamura
This map shows the geographic impact of Yuuki Takamura'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 Yuuki Takamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuuki Takamura more than expected).
Fields of papers citing papers by Yuuki Takamura
This network shows the impact of papers produced by Yuuki Takamura. 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 Yuuki Takamura. The network helps show where Yuuki Takamura may publish in the future.
Co-authorship network of co-authors of Yuuki Takamura
This figure shows the co-authorship network connecting the top 25 collaborators of Yuuki Takamura. A scholar is included among the top collaborators of Yuuki Takamura 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 Yuuki Takamura. Yuuki Takamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 191 | |
| 3 | 28 | |
| 4 | 35 | |
| 5 | 66 | |
| 6 | 77 | |
| 7 | 36 | |
| 8 | S100A10 expression in thyroid neoplasms originating from the follicular epithelium: contribution to the aggressive characteristic of anaplastic carcinoma. | 29 |
| 9 | 7 | |
| 10 | 33 | |
| 11 | Expression of p8 protein in breast carcinoma; an inverse relationship with apoptosis. | 30 |
| 12 | 52 | |
| 13 | 70 | |
| 14 | 37 | |
| 15 | 3 | |
| 16 | 14 | |
| 17 | 77 | |
| 18 | 76 | |
| 19 | 89 | |
| 20 | 31 |
About Yuuki Takamura
Yuuki Takamura is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Anatomy, having authored 130 papers that have together received 7.1k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (89 papers), Thyroid and Parathyroid Surgery (52 papers) and Head and Neck Anomalies (31 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.5k citations), Anatomy (151 citations) and Surgery (4.0k citations). Yuuki Takamura has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Akira Miyauchi, Yasuhiro Ito, Akihiro Miya, Kaoru Kobayashi, Fumio Matsuzuka, Kanji Kuma, Chisato Tomoda, Takashi Uruno, Takuya Higashiyama and Minoru Kihara. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer and International Journal of Cancer.
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.