Yutaka Hatakeyama
- Nephrology top 5%
- Surgery
- Molecular Biology
- Biological Psychiatry
- Computer Vision and Pattern Recognition
- Co-authors
- Yoshiyasu OkuharaTaro HorinoTatsuki MatsumotoYoshio TeradaHiromi KataokaKaoru HirotaKeitaro NagataYoshiko Shimamura
- Topics
- Acute Kidney Injury Research (13 papers)Chronic Kidney Disease and Diabetes (8 papers)Trauma, Hemostasis, Coagulopathy, Resuscitation (5 papers)
In The Last Decade
Yutaka Hatakeyama
38 papers receiving 269 citations
Peers
Comparison fields: 5 of 98
- Nephrology 90
- Surgery 55
- Molecular Biology 39
- Biological Psychiatry 29
- Computer Vision and Pattern Recognition 27
Countries citing papers authored by Yutaka Hatakeyama
This map shows the geographic impact of Yutaka Hatakeyama'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 Yutaka Hatakeyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Hatakeyama more than expected).
Fields of papers citing papers by Yutaka Hatakeyama
This network shows the impact of papers produced by Yutaka Hatakeyama. 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 Yutaka Hatakeyama. The network helps show where Yutaka Hatakeyama may publish in the future.
Co-authorship network of co-authors of Yutaka Hatakeyama
This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Hatakeyama. A scholar is included among the top collaborators of Yutaka Hatakeyama 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 Yutaka Hatakeyama. Yutaka Hatakeyama 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 | 5 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 18 | |
| 7 | 39 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | Machine learning of functional magnetic resonance imaging data for brain decoding | 1 |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 19 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | Detecting Algorithm for Surveillance System using Dynamic Color Images under Multiple Luminance Conditions | 3 |
| 19 | 2 | |
| 20 | Correction Vectors for Dynamic Color Images under Multiple Luminance Conditions | 4 |
About Yutaka Hatakeyama
Yutaka Hatakeyama is a scholar working on Nephrology, Critical Care and Intensive Care Medicine and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 291 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (13 papers), Chronic Kidney Disease and Diabetes (8 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (5 papers). The work is most often cited by research in Nephrology (90 citations), Biological Psychiatry (29 citations) and Behavioral Neuroscience (13 citations). Yutaka Hatakeyama has collaborated with scholars based in Japan and China. Frequent co-authors include Yoshiyasu Okuhara, Taro Horino, Tatsuki Matsumoto, Yoshio Terada, Hiromi Kataoka, Kaoru Hirota, Keitaro Nagata, Yoshiko Shimamura, Kosuke Inoue and Kiyoshi Nakahara. Their work appears in journals such as Scientific Reports, Japanese Journal of Applied Physics and Applied Soft Computing.
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.