Kazuo Hidaka
- Co-authors
- I. IuchiHironobu KatsuyamaMasafumi TomitaToshiko OkuyamaTakeshi OtsukiYuki MiuraMasahiro TomitaToru Okuyama
- Topics
- Hemoglobin structure and function (9 papers)Hemoglobinopathies and Related Disorders (8 papers)Cholinesterase and Neurodegenerative Diseases (7 papers)
- Cited by
- GeneticsPharmacologyBiophysics
- Partner nations
- JapanUnited KingdomFrance
In The Last Decade
Kazuo Hidaka
36 papers receiving 346 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 133
- Surgery 86
- Genetics 57
- Pharmacology 51
- Plant Science 46
Countries citing papers authored by Kazuo Hidaka
This map shows the geographic impact of Kazuo Hidaka'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 Kazuo Hidaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuo Hidaka more than expected).
Fields of papers citing papers by Kazuo Hidaka
This network shows the impact of papers produced by Kazuo Hidaka. 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 Kazuo Hidaka. The network helps show where Kazuo Hidaka may publish in the future.
Co-authorship network of co-authors of Kazuo Hidaka
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuo Hidaka. A scholar is included among the top collaborators of Kazuo Hidaka 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 Kazuo Hidaka. Kazuo Hidaka 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 | 14 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 68 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | Identification of missense mutation (G365R) of the butyrylcholinesterase (BCHE) gene in a Japanese patient with familial cholinesterasemia. | 1 |
| 9 | 21 | |
| 10 | 9 | |
| 11 | 6 | |
| 12 | [Missense mutations of the butyrylcholinesterase gene in six Japanese patients with low cholinesterasemia: genetic analysis using sera stored in a freezer]. | 2 |
| 13 | 10 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | [Systematic cleaning of the mite antigens in home environment and its effects on atopic dermatitis]. | 5 |
| 17 | [Identification of two different genetic mutation associated with silent phenotypes for human serum cholinesterase in Japanese]. | 11 |
| 18 | 4 | |
| 19 | 5 | |
| 20 | 15 |
About Kazuo Hidaka
Kazuo Hidaka is a scholar working on Genetics, Cell Biology and Biophysics, having authored 36 papers that have together received 352 indexed citations. Recurring topics across this work include Hemoglobin structure and function (9 papers), Hemoglobinopathies and Related Disorders (8 papers) and Cholinesterase and Neurodegenerative Diseases (7 papers). The work is most often cited by research in Genetics (57 citations), Pharmacology (51 citations) and Biophysics (17 citations). Kazuo Hidaka has collaborated with scholars based in Japan, United Kingdom and France. Frequent co-authors include I. Iuchi, Hironobu Katsuyama, Masafumi Tomita, Toshiko Okuyama, Takeshi Otsuki, Yuki Miura, Masahiro Tomita, Toru Okuyama, Yuki Nishimura and Yutaka Hiroe. Their work appears in journals such as Clinica Chimica Acta, Toxicology and Chemico-Biological Interactions.
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.