Shigeki Sakata
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Genetics
- Cell Biology
- Co-authors
- M. Zouhair AtassiKiyoshi MiuraShigenori NAKAMURAMasaru SogamiKeigo YasudaOsamu TarutaniKazuo KuwataSeiichi Era
- Topics
- Thyroid Disorders and Treatments (35 papers)Monoclonal and Polyclonal Antibodies Research (16 papers)Growth Hormone and Insulin-like Growth Factors (15 papers)
- Journals
- Annals of Internal MedicineThe Journal of Clinical Endocrinology & MetabolismBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
Shigeki Sakata
83 papers receiving 932 citations
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 455
- Molecular Biology 329
- Radiology, Nuclear Medicine and Imaging 223
- Genetics 124
- Cell Biology 108
Countries citing papers authored by Shigeki Sakata
This map shows the geographic impact of Shigeki Sakata'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 Shigeki Sakata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeki Sakata more than expected).
Fields of papers citing papers by Shigeki Sakata
This network shows the impact of papers produced by Shigeki Sakata. 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 Shigeki Sakata. The network helps show where Shigeki Sakata may publish in the future.
Co-authorship network of co-authors of Shigeki Sakata
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeki Sakata. A scholar is included among the top collaborators of Shigeki Sakata 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 Shigeki Sakata. Shigeki Sakata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 6 | |
| 3 | 21 | |
| 4 | 13 | |
| 5 | 13 | |
| 6 | 14 | |
| 7 | 79 | |
| 8 | 30 | |
| 9 | 5 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 16 | |
| 15 | 14 | |
| 16 | 6 | |
| 17 | 11 | |
| 18 | 17 | |
| 19 | 12 | |
| 20 | 7 |
About Shigeki Sakata
Shigeki Sakata is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 83 papers that have together received 975 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (35 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and Growth Hormone and Insulin-like Growth Factors (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (455 citations), Radiology, Nuclear Medicine and Imaging (223 citations) and Nephrology (49 citations). Shigeki Sakata has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include M. Zouhair Atassi, Kiyoshi Miura, Shigenori NAKAMURA, Masaru Sogami, Keigo Yasuda, Osamu Tarutani, Kazuo Kuwata, Seiichi Era, Masafumi Matsuda and Yoichi Kohno. Their work appears in journals such as Annals of Internal Medicine, The Journal of Clinical Endocrinology & Metabolism 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.