Yoshihiro Mori
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Physiology
- Nephrology top 10%
- Co-authors
- Fumiaki KobayashiSatoshi TeramukaiKazuyuki ShimadaIkuo SaitoKazuomi KarioToshio KushiroYusuke IshikawaYasuaki Kuroe
- Topics
- Gene Regulatory Network Analysis (10 papers)Blood Pressure and Hypertension Studies (9 papers)Obstructive Sleep Apnea Research (6 papers)
In The Last Decade
Yoshihiro Mori
52 papers receiving 484 citations
Peers
Comparison fields: 5 of 92
- Cardiology and Cardiovascular Medicine 225
- Surgery 74
- Pulmonary and Respiratory Medicine 71
- Physiology 70
- Nephrology 64
Countries citing papers authored by Yoshihiro Mori
This map shows the geographic impact of Yoshihiro Mori'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 Yoshihiro Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshihiro Mori more than expected).
Fields of papers citing papers by Yoshihiro Mori
This network shows the impact of papers produced by Yoshihiro Mori. 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 Yoshihiro Mori. The network helps show where Yoshihiro Mori may publish in the future.
Co-authorship network of co-authors of Yoshihiro Mori
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshihiro Mori. A scholar is included among the top collaborators of Yoshihiro Mori 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 Yoshihiro Mori. Yoshihiro Mori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | A synthesis method of gene regulatory networks having cyclic expression pattern sequences and its evaluation | 0 |
| 9 | 3 | |
| 10 | 10 | |
| 11 | Controller design method of gene regulatory networks for realizing cyclic expression pattern sequences | 1 |
| 12 | 5 | |
| 13 | Gene expression pattern based controller design for gene regulatory networks | 1 |
| 14 | 1 | |
| 15 | 9 | |
| 16 | Controller design method of gene networks based on gene expression patterns by network learning | 1 |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | 1 |
About Yoshihiro Mori
Yoshihiro Mori is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 60 papers that have together received 498 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (10 papers), Blood Pressure and Hypertension Studies (9 papers) and Obstructive Sleep Apnea Research (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (225 citations), Nephrology (64 citations) and Urology (38 citations). Yoshihiro Mori has collaborated with scholars based in Japan, Germany and India. Frequent co-authors include Fumiaki Kobayashi, Satoshi Teramukai, Kazuyuki Shimada, Ikuo Saito, Kazuomi Kario, Toshio Kushiro, Yusuke Ishikawa, Yasuaki Kuroe, Takehiro Mori and Sei Sasaki. Their work appears in journals such as The Journal of Physical Chemistry, Journal of Clinical Microbiology and Hypertension.
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.