Izumi Tsuda
- Environmental Engineering top 5%
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering top 5%
- Molecular Biology
- Mechanical Engineering
- Co-authors
- Noriyuki TatsumiKosuke KurokawaKoichi SakutaTakuya DoiAkinobu MurataN TatsumiOytip NathalangT Takubo
- Topics
- Clinical Laboratory Practices and Quality Control (13 papers)Digital Imaging for Blood Diseases (11 papers)Erythrocyte Function and Pathophysiology (10 papers)
In The Last Decade
Izumi Tsuda
68 papers receiving 775 citations
Peers
Comparison fields: 5 of 119
- Environmental Engineering 221
- Electrical and Electronic Engineering 145
- Industrial and Manufacturing Engineering 144
- Molecular Biology 140
- Mechanical Engineering 131
Countries citing papers authored by Izumi Tsuda
This map shows the geographic impact of Izumi Tsuda'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 Izumi Tsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Izumi Tsuda more than expected).
Fields of papers citing papers by Izumi Tsuda
This network shows the impact of papers produced by Izumi Tsuda. 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 Izumi Tsuda. The network helps show where Izumi Tsuda may publish in the future.
Co-authorship network of co-authors of Izumi Tsuda
This figure shows the co-authorship network connecting the top 25 collaborators of Izumi Tsuda. A scholar is included among the top collaborators of Izumi Tsuda 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 Izumi Tsuda. Izumi Tsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Degradation factor analysis of crystalline-Si PV modules through long-term field exposure test | 22 |
| 2 | Long term reliability evaluation of PV module | 5 |
| 3 | 16 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 6 | |
| 7 | A centrifuge-less plasma separation method from whole blood anticoagulated with EDTA-2K for the use of clinical laboratory tests. | 0 |
| 8 | 8 | |
| 9 | 14 | |
| 10 | 19 | |
| 11 | 96 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 15 | |
| 18 | 4 | |
| 19 | 0 | |
| 20 | 19 |
About Izumi Tsuda
Izumi Tsuda is a scholar working on Hematology, Energy Engineering and Power Technology and Physiology, having authored 73 papers that have together received 810 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (13 papers), Digital Imaging for Blood Diseases (11 papers) and Erythrocyte Function and Pathophysiology (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (144 citations), Environmental Engineering (221 citations) and Hematology (109 citations). Izumi Tsuda has collaborated with scholars based in Japan, Poland and Thailand. Frequent co-authors include Noriyuki Tatsumi, Kosuke Kurokawa, Koichi Sakuta, Takuya Doi, Akinobu Murata, N Tatsumi, Oytip Nathalang, T Takubo, Ken Nozaki and Kiyoshi Okuda. Their work appears in journals such as Physical Review Letters, Journal of Power Sources and Solar Energy.
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.