Yukiya Sakamoto
- Molecular Biology top 10%
- Biochemistry top 0.5%
- Pharmacology top 2%
- Clinical Biochemistry top 2%
- Rheumatology top 5%
- Co-authors
- Taneaki HigashiNoriko TateishiAkiko NaruseFumihide IsohashiFumio WadaKen HigashiYozo NakataHiroshi Shiozaki
- Topics
- Amino Acid Enzymes and Metabolism (17 papers)Metabolism and Genetic Disorders (17 papers)Estrogen and related hormone effects (14 papers)
- Partner nations
- Japan
In The Last Decade
Yukiya Sakamoto
132 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.0k
- Biochemistry 561
- Pharmacology 261
- Clinical Biochemistry 238
- Rheumatology 229
Countries citing papers authored by Yukiya Sakamoto
This map shows the geographic impact of Yukiya Sakamoto'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 Yukiya Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukiya Sakamoto more than expected).
Fields of papers citing papers by Yukiya Sakamoto
This network shows the impact of papers produced by Yukiya Sakamoto. 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 Yukiya Sakamoto. The network helps show where Yukiya Sakamoto may publish in the future.
Co-authorship network of co-authors of Yukiya Sakamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Yukiya Sakamoto. A scholar is included among the top collaborators of Yukiya Sakamoto 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 Yukiya Sakamoto. Yukiya Sakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 58 | |
| 6 | 15 | |
| 7 | 16 | |
| 8 | 16 | |
| 9 | 7 | |
| 10 | 51 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 16 | |
| 14 | Osseous alkaline phosphatase from osteosarcoma in mouse and in culture. | 8 |
| 15 | Restoration by adrenalectomy of weight and binding capacity of glucorcorticoid receptors of the thymus in AH 130 tumor-bearing rats. | 9 |
| 16 | Teratogenicity of aminopyrine and its molecular compound with barbital | 1 |
| 17 | Distribution of ribosomal cistrons in the nuclei of Ehrlich ascites tumor and hepatic cells from mice. | 7 |
| 18 | 11 | |
| 19 | STUDIES ON PHENOL FORMATION:III. AMMONIUM AND POTASSIUM IONS AS THE ACTIVATOR OF BETA-TYROSINASE | 6 |
| 20 | The bacterial decomposition of indole. Studies on its metabolic pathway by successive adaptation | 14 |
About Yukiya Sakamoto
Yukiya Sakamoto is a scholar working on Biochemistry, Clinical Biochemistry and Cancer Research, having authored 138 papers that have together received 2.2k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (17 papers), Metabolism and Genetic Disorders (17 papers) and Estrogen and related hormone effects (14 papers). The work is most often cited by research in Biochemistry (561 citations), Clinical Biochemistry (238 citations) and Pharmacology (261 citations). Yukiya Sakamoto has collaborated with scholars based in Japan. Frequent co-authors include Taneaki Higashi, Noriko Tateishi, Akiko Naruse, Fumihide Isohashi, Fumio Wada, Ken Higashi, Yozo Nakata, Hiroshi Shiozaki, Kazuya Hirata and Hirotoshi Shibata. Their work appears in journals such as Biochemistry, Cancer and Biochemical and Biophysical Research Communications.
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.