Sayaka Maeda
- Endocrinology, Diabetes and Metabolism top 2%
- Clinical Biochemistry top 1%
- Molecular Biology
- Epidemiology
- Surgery
- Co-authors
- Sho‐ichi YamagishiTakanori MatsuiMasayoshi TakeuchiKei FukamiYuji IshibashiAyako OjimaYuri NishinoSeiji Ueda
- Topics
- Advanced Glycation End Products research (15 papers)Chronic Kidney Disease and Diabetes (6 papers)Natural Antidiabetic Agents Studies (6 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Sayaka Maeda
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Endocrinology, Diabetes and Metabolism 506
- Clinical Biochemistry 395
- Molecular Biology 297
- Epidemiology 231
- Surgery 189
Countries citing papers authored by Sayaka Maeda
This map shows the geographic impact of Sayaka Maeda'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 Sayaka Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayaka Maeda more than expected).
Fields of papers citing papers by Sayaka Maeda
This network shows the impact of papers produced by Sayaka Maeda. 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 Sayaka Maeda. The network helps show where Sayaka Maeda may publish in the future.
Co-authorship network of co-authors of Sayaka Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of Sayaka Maeda. A scholar is included among the top collaborators of Sayaka Maeda 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 Sayaka Maeda. Sayaka Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 18 | |
| 3 | 10 | |
| 4 | 37 | |
| 5 | 23 | |
| 6 | 35 | |
| 7 | 145 | |
| 8 | 27 | |
| 9 | 43 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 63 | |
| 14 | 230 | |
| 15 | 27 | |
| 16 | 24 | |
| 17 | 14 | |
| 18 | Data acquisition system of the CANGAROO-III telescope | 1 |
| 19 | Mycobacterium leprae typing by genomic diversity and global distribution of genotypes. | 61 |
| 20 | Solitary retroperitoneal neurofibroma: a case report. | 6 |
About Sayaka Maeda
Sayaka Maeda is a scholar working on Clinical Biochemistry, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (15 papers), Chronic Kidney Disease and Diabetes (6 papers) and Natural Antidiabetic Agents Studies (6 papers). The work is most often cited by research in Clinical Biochemistry (395 citations), Endocrinology, Diabetes and Metabolism (506 citations) and Nephrology (135 citations). Sayaka Maeda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Sho‐ichi Yamagishi, Takanori Matsui, Masayoshi Takeuchi, Kei Fukami, Yuji Ishibashi, Ayako Ojima, Yuri Nishino, Seiji Ueda, Seiya Okuda and Yuichiro Higashimoto. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.