Hiroya Hidaka
- Molecular Biology
- Physiology top 5%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Tsutomu KatsuyamaKazuyoshi YamauchiMitsutoshi SuganoMinoru TozukaTakahiko TokudaHiroaki FukumotoNoriko IshigamiDavid Allsop
- Topics
- Alzheimer's disease research and treatments (10 papers)Metabolomics and Mass Spectrometry Studies (6 papers)Sphingolipid Metabolism and Signaling (6 papers)
In The Last Decade
Hiroya Hidaka
50 papers receiving 946 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 410
- Physiology 392
- Surgery 245
- Endocrinology, Diabetes and Metabolism 143
- Cardiology and Cardiovascular Medicine 94
Countries citing papers authored by Hiroya Hidaka
This map shows the geographic impact of Hiroya 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 Hiroya Hidaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroya Hidaka more than expected).
Fields of papers citing papers by Hiroya Hidaka
This network shows the impact of papers produced by Hiroya 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 Hiroya Hidaka. The network helps show where Hiroya Hidaka may publish in the future.
Co-authorship network of co-authors of Hiroya Hidaka
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroya Hidaka. A scholar is included among the top collaborators of Hiroya 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 Hiroya Hidaka. Hiroya 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 | 16 | |
| 2 | Analysis of serum sulfatide species using Maldi-Tof mass spectrometry | 1 |
| 3 | 11 | |
| 4 | 6 | |
| 5 | Mild acid hydrolysis of sphingolipids yields lysosphingolipids : a matrix-assisted laser desorption and ionization time-of-flight mass spectrometry study | 1 |
| 6 | 15 | |
| 7 | 33 | |
| 8 | 8 | |
| 9 | 13 | |
| 10 | 10 | |
| 11 | 10 | |
| 12 | 12 | |
| 13 | 30 | |
| 14 | 24 | |
| 15 | 17 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 26 | |
| 19 | 19 | |
| 20 | 1 |
About Hiroya Hidaka
Hiroya Hidaka is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Physiology, having authored 51 papers that have together received 977 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Sphingolipid Metabolism and Signaling (6 papers). The work is most often cited by research in Physiology (392 citations), Endocrinology, Diabetes and Metabolism (143 citations) and Neurology (52 citations). Hiroya Hidaka has collaborated with scholars based in Japan, Greece and Australia. Frequent co-authors include Tsutomu Katsuyama, Kazuyoshi Yamauchi, Mitsutoshi Sugano, Minoru Tozuka, Takahiko Tokuda, Hiroaki Fukumoto, Noriko Ishigami, David Allsop, Takashi Kasai and Masaki Kondo. Their work appears in journals such as Diabetes, Biochemical Journal and The FASEB Journal.
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.