Yoshiko Tani
- Molecular Biology
- Biochemistry top 0.5%
- Oncology
- Nephrology top 5%
- Clinical Biochemistry top 5%
- Co-authors
- Yutaka TaketaniEiji TakedaTomoko NiiHitoshi EndouJunichi FukushimaOsamu YanagidaYoshiki FukasawaHiroshi Uchino
- Topics
- Parathyroid Disorders and Treatments (8 papers)Genetic Syndromes and Imprinting (4 papers)Magnesium in Health and Disease (4 papers)
- Partner nations
- JapanSingaporeUnited States
In The Last Decade
Yoshiko Tani
32 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 580
- Biochemistry 544
- Oncology 168
- Nephrology 163
- Clinical Biochemistry 146
Countries citing papers authored by Yoshiko Tani
This map shows the geographic impact of Yoshiko 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 Yoshiko Tani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshiko Tani more than expected).
Fields of papers citing papers by Yoshiko Tani
This network shows the impact of papers produced by Yoshiko 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 Yoshiko Tani. The network helps show where Yoshiko Tani may publish in the future.
Co-authorship network of co-authors of Yoshiko Tani
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiko Tani. A scholar is included among the top collaborators of Yoshiko 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 Yoshiko Tani. Yoshiko 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 | 1 | |
| 2 | Improvement of orthoptic students' self-evaluation through repeated practice with rubric-based assessments | 0 |
| 3 | 15 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 29 | |
| 7 | 71 | |
| 8 | 15 | |
| 9 | 15 | |
| 10 | Human L-type amino acid transporter 1 (LAT1): characterization of function and expression in tumor cell linesbreakdown → | 617 |
| 11 | 57 | |
| 12 | 26 | |
| 13 | 23 | |
| 14 | 17 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | [Thymoma with calcification (author's transl)]. | 6 |
| 19 | [Intrathoracic pheochromocytoma (author's transl)]. | 1 |
| 20 | [Tuberculous lymphadenitis of the mediastinum]. | 0 |
About Yoshiko Tani
Yoshiko Tani is a scholar working on Nephrology, Periodontics and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (8 papers), Genetic Syndromes and Imprinting (4 papers) and Magnesium in Health and Disease (4 papers). The work is most often cited by research in Biochemistry (544 citations), Nephrology (163 citations) and Clinical Biochemistry (146 citations). Yoshiko Tani has collaborated with scholars based in Japan, Singapore and United States. Frequent co-authors include Yutaka Taketani, Eiji Takeda, Tomoko Nii, Hitoshi Endou, Junichi Fukushima, Osamu Yanagida, Yoshiki Fukasawa, Hiroshi Uchino, Hirotaka Matsuo and Jun Inatomi. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and Endocrinology.
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.