Yoshiaki Uyama
- Economics and Econometrics top 2%
- Molecular Biology
- Statistics and Probability top 1%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology top 10%
- Co-authors
- Yuji ImaizumiMinoru WatanabeMasahiro TakeuchiPaul GalloLihui ZhaoHicham SkaliL. J. WeiEisuke Inoue
- Topics
- Statistical Methods in Clinical Trials (19 papers)Health Systems, Economic Evaluations, Quality of Life (18 papers)Pharmaceutical Economics and Policy (17 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Yoshiaki Uyama
80 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Economics and Econometrics 446
- Molecular Biology 417
- Statistics and Probability 360
- Cardiology and Cardiovascular Medicine 226
- Physiology 215
Countries citing papers authored by Yoshiaki Uyama
This map shows the geographic impact of Yoshiaki Uyama'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 Yoshiaki Uyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshiaki Uyama more than expected).
Fields of papers citing papers by Yoshiaki Uyama
This network shows the impact of papers produced by Yoshiaki Uyama. 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 Yoshiaki Uyama. The network helps show where Yoshiaki Uyama may publish in the future.
Co-authorship network of co-authors of Yoshiaki Uyama
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiaki Uyama. A scholar is included among the top collaborators of Yoshiaki Uyama 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 Yoshiaki Uyama. Yoshiaki Uyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | Moving Beyond the Hazard Ratio in Quantifying the Between-Group Difference in Survival Analysisbreakdown → | 421 |
| 14 | 50 | |
| 15 | 59 | |
| 16 | 31 | |
| 17 | 4 | |
| 18 | Studies on the metabolism of crystalline lens. | 7 |
| 19 | Biochemical studies on cataract. 3. Experimental black cataract and ascorbic acid. | 1 |
| 20 | Studies on the metabolism of vitamin C in the crystalline lens. 4. Distribution of diketogulonic acid in the crystalline lens. | 1 |
About Yoshiaki Uyama
Yoshiaki Uyama is a scholar working on Toxicology, Pharmacology and Statistics and Probability, having authored 90 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (19 papers), Health Systems, Economic Evaluations, Quality of Life (18 papers) and Pharmaceutical Economics and Policy (17 papers). The work is most often cited by research in Statistics and Probability (360 citations), Pharmacology (200 citations) and Toxicology (70 citations). Yoshiaki Uyama has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yuji Imaizumi, Minoru Watanabe, Masahiro Takeuchi, Paul Gallo, Lihui Zhao, Hicham Skali, L. J. Wei, Eisuke Inoue, Deborah Schrag and Brian Claggett. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Nature Reviews Drug Discovery.
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.