T Yamauchi
- Surgery
- Hepatology top 5%
- Electrical and Electronic Engineering
- Epidemiology
- Pulmonary and Respiratory Medicine
- Topics
- Parallel Computing and Optimization Techniques (11 papers)Semiconductor materials and devices (9 papers)Hepatocellular Carcinoma Treatment and Prognosis (8 papers)
- Partner nations
- JapanUnited States
In The Last Decade
T Yamauchi
46 papers receiving 806 citations
Peers
Comparison fields: 5 of 89
- Surgery 270
- Hepatology 240
- Electrical and Electronic Engineering 173
- Epidemiology 171
- Pulmonary and Respiratory Medicine 142
Countries citing papers authored by T Yamauchi
This map shows the geographic impact of T Yamauchi'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 T Yamauchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Yamauchi more than expected).
Fields of papers citing papers by T Yamauchi
This network shows the impact of papers produced by T Yamauchi. 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 T Yamauchi. The network helps show where T Yamauchi may publish in the future.
Co-authorship network of co-authors of T Yamauchi
This figure shows the co-authorship network connecting the top 25 collaborators of T Yamauchi. A scholar is included among the top collaborators of T Yamauchi 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 T Yamauchi. T Yamauchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Embedded Flash Technology for Automotive Applications | 1 |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 23 | |
| 5 | 35 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | A Single Chip Multiprocessor Integrated with High Density DRAM | 6 |
| 9 | Fully Self-Timing Data-Bus Architecture for 64-Mb DRAMs | 3 |
| 10 | 76 | |
| 11 | Treatment with cilazapril, angiotensin-converting enzyme inhibitor, changes the affinity of arginine vasopressin receptor in the kidney of the spontaneously hypertensive rat. | 2 |
| 12 | 30 | |
| 13 | 12 | |
| 14 | 8 | |
| 15 | 76 | |
| 16 | 55 | |
| 17 | MR imaging vs CT in subacute sclerosing panencephalitis. | 20 |
| 18 | 24 | |
| 19 | CT diagnosis of primary Budd-Chiari syndrome--membranous obstruction of the inferior vena cava. | 3 |
| 20 | 26 |
About T Yamauchi
T Yamauchi is a scholar working on Hardware and Architecture, Hepatology and Internal Medicine, having authored 47 papers that have together received 849 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Semiconductor materials and devices (9 papers) and Hepatocellular Carcinoma Treatment and Prognosis (8 papers). The work is most often cited by research in Hepatology (240 citations), Internal Medicine (73 citations) and Emergency Medical Services (95 citations). T Yamauchi has collaborated with scholars based in Japan and United States. Frequent co-authors include Shigeru Furui, Kuni Ohtomo, Yuji Itai, N Yashiro, T Kokubo, M Minami, E Takenaka, Toshiyuki Irie, Hideto Hidaka and Shoichi Kusano. Their work appears in journals such as Advanced Materials, Radiology and IEEE Journal of Solid-State Circuits.
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.