Kazutaka Haraguchi
- Co-authors
- Toshimasa OnayaToyoshi EndoHiroki ShimuraKazuyasu OhtaJerome M. HershmanAsako MiyazakiMartin RodbellTetsuro Kobayashi
- Topics
- Thyroid Disorders and Treatments (15 papers)Neuropeptides and Animal Physiology (6 papers)Peroxisome Proliferator-Activated Receptors (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited States
In The Last Decade
Kazutaka Haraguchi
45 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Endocrinology, Diabetes and Metabolism 508
- Molecular Biology 483
- Oncology 145
- Genetics 143
- Cancer Research 134
Countries citing papers authored by Kazutaka Haraguchi
This map shows the geographic impact of Kazutaka Haraguchi'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 Kazutaka Haraguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazutaka Haraguchi more than expected).
Fields of papers citing papers by Kazutaka Haraguchi
This network shows the impact of papers produced by Kazutaka Haraguchi. 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 Kazutaka Haraguchi. The network helps show where Kazutaka Haraguchi may publish in the future.
Co-authorship network of co-authors of Kazutaka Haraguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Kazutaka Haraguchi. A scholar is included among the top collaborators of Kazutaka Haraguchi 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 Kazutaka Haraguchi. Kazutaka Haraguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 20 | |
| 8 | Activation of peroxisome proliferator-activated receptor γ inhibits apoptosis induced by serum deprivation in LLC-PK1 cells | 1 |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 132 | |
| 13 | 110 | |
| 14 | 18 | |
| 15 | 7 | |
| 16 | 12 | |
| 17 | 8 | |
| 18 | 8 | |
| 19 | 18 | |
| 20 | 2 |
About Kazutaka Haraguchi
Kazutaka Haraguchi is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Reproductive Medicine, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (15 papers), Neuropeptides and Animal Physiology (6 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (508 citations), Cancer Research (134 citations) and Molecular Biology (483 citations). Kazutaka Haraguchi has collaborated with scholars based in Japan and United States. Frequent co-authors include Toshimasa Onaya, Toyoshi Endo, Hiroki Shimura, Kazuyasu Ohta, Jerome M. Hershman, Asako Miyazaki, Martin Rodbell, Tetsuro Kobayashi, Fumihiko Furuya and Katsumi Taki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.
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.