S Ohtaki
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Genetics
- Radiology, Nuclear Medicine and Imaging
- Physiology
- Co-authors
- Tomio KotaniKazumi UmekiIkuo YamamotoShioko KimuraYoung Sook HongFumitaka KikkawaEiji IshikawaShinji Yoshitake
- Topics
- Glycosylation and Glycoproteins Research (10 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)Thyroid Disorders and Treatments (10 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
S Ohtaki
35 papers receiving 567 citations
Peers
Comparison fields: 5 of 80
- Endocrinology, Diabetes and Metabolism 335
- Molecular Biology 287
- Genetics 92
- Radiology, Nuclear Medicine and Imaging 90
- Physiology 73
Countries citing papers authored by S Ohtaki
This map shows the geographic impact of S Ohtaki'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 S Ohtaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Ohtaki more than expected).
Fields of papers citing papers by S Ohtaki
This network shows the impact of papers produced by S Ohtaki. 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 S Ohtaki. The network helps show where S Ohtaki may publish in the future.
Co-authorship network of co-authors of S Ohtaki
This figure shows the co-authorship network connecting the top 25 collaborators of S Ohtaki. A scholar is included among the top collaborators of S Ohtaki 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 S Ohtaki. S Ohtaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 7 | |
| 3 | 21 | |
| 4 | 8 | |
| 5 | 31 | |
| 6 | 8 | |
| 7 | 30 | |
| 8 | Immunohistochemical demonstration of thyroid peroxidase (TPO) in human thyroid tissues from various thyroid diseases. | 12 |
| 9 | [Molecular mechanism of thyroid hormone synthesis]. | 4 |
| 10 | 122 | |
| 11 | 12 | |
| 12 | 18 | |
| 13 | 12 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 20 | |
| 17 | 2 | |
| 18 | A new protease in hog thyroid lysosomes. II. A partial purification and characterization of a leupeptin-sensitive protease. | 9 |
| 19 | 10 | |
| 20 | 1 |
About S Ohtaki
S Ohtaki is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 35 papers that have together received 587 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Thyroid Disorders and Treatments (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (335 citations), Molecular Biology (287 citations) and Endocrine and Autonomic Systems (28 citations). S Ohtaki has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tomio Kotani, Kazumi Umeki, Ikuo Yamamoto, Shioko Kimura, Young Sook Hong, Fumitaka Kikkawa, Eiji Ishikawa, Shinji Yoshitake, Yuichi Endo and Takuya Kotani. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemistry and FEBS Letters.
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.