K Ashizawa
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Cellular and Molecular Neuroscience
- Cancer Research
- Co-authors
- Sheue-yann ChengChen LiangMark C. WillinghamShigenobu NagatakiKwang‐Huei LinC. Thomas CaskeyMichael J. SicilianoHironori Kimura
- Topics
- Thyroid Disorders and Treatments (7 papers)Estrogen and related hormone effects (5 papers)Erythrocyte Function and Pathophysiology (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
K Ashizawa
17 papers receiving 765 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 463
- Endocrinology, Diabetes and Metabolism 349
- Genetics 238
- Cellular and Molecular Neuroscience 108
- Cancer Research 108
Countries citing papers authored by K Ashizawa
This map shows the geographic impact of K Ashizawa'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 K Ashizawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Ashizawa more than expected).
Fields of papers citing papers by K Ashizawa
This network shows the impact of papers produced by K Ashizawa. 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 K Ashizawa. The network helps show where K Ashizawa may publish in the future.
Co-authorship network of co-authors of K Ashizawa
This figure shows the co-authorship network connecting the top 25 collaborators of K Ashizawa. A scholar is included among the top collaborators of K Ashizawa 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 K Ashizawa. K Ashizawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 20 | |
| 3 | 103 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 78 | |
| 7 | 12 | |
| 8 | 50 | |
| 9 | 12 | |
| 10 | 74 | |
| 11 | [Pituitary resistance to thyroid hormone]. | 2 |
| 12 | 69 | |
| 13 | 39 | |
| 14 | 100 | |
| 15 | 136 | |
| 16 | 36 | |
| 17 | 41 |
About K Ashizawa
K Ashizawa is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Genetics, having authored 17 papers that have together received 785 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Estrogen and related hormone effects (5 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (349 citations), Genetics (238 citations) and Cancer Research (108 citations). K Ashizawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Sheue-yann Cheng, Chen Liang, Mark C. Willingham, Shigenobu Nagataki, Kwang‐Huei Lin, C. Thomas Caskey, Michael J. Siciliano, Hironori Kimura, Darren G. Monckton and Motomori Izumi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.