Yasuo Nakata
- Molecular Biology
- Reproductive Medicine top 10%
- Oncology
- Epidemiology
- Pulmonary and Respiratory Medicine
- Co-authors
- Kunihiko TakamatsuShuji KanamaruTomoko MatsudaKatsuhiko MurakamiToshiharu MatsumotoTadashi NakamuraKeiichi IwabuchiHiroaki Fujii
- Topics
- Online Learning and Analytics (8 papers)Data Mining Algorithms and Applications (3 papers)Enzyme Catalysis and Immobilization (3 papers)
In The Last Decade
Yasuo Nakata
41 papers receiving 260 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 71
- Reproductive Medicine 49
- Oncology 47
- Epidemiology 41
- Pulmonary and Respiratory Medicine 36
Countries citing papers authored by Yasuo Nakata
This map shows the geographic impact of Yasuo Nakata'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 Yasuo Nakata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuo Nakata more than expected).
Fields of papers citing papers by Yasuo Nakata
This network shows the impact of papers produced by Yasuo Nakata. 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 Yasuo Nakata. The network helps show where Yasuo Nakata may publish in the future.
Co-authorship network of co-authors of Yasuo Nakata
This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Nakata. A scholar is included among the top collaborators of Yasuo Nakata 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 Yasuo Nakata. Yasuo Nakata 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 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 18 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | [Annual report of perioperative mortality and morbidity for the year 2000 at certified training hospitals of Japanese Society of Anesthesiologists: with a special reference to anesthetic methods--report of the Japanese Society of Anesthesiologists Committee on Operating Room Safety]. | 1 |
| 16 | 51 | |
| 17 | 5 | |
| 18 | 6 | |
| 19 | 20 | |
| 20 | 5 |
About Yasuo Nakata
Yasuo Nakata is a scholar working on Computer Science Applications, Information Systems and Management and Reproductive Medicine, having authored 44 papers that have together received 266 indexed citations. Recurring topics across this work include Online Learning and Analytics (8 papers), Data Mining Algorithms and Applications (3 papers) and Enzyme Catalysis and Immobilization (3 papers). The work is most often cited by research in Computer Science Applications (35 citations), Reproductive Medicine (49 citations) and Obstetrics and Gynecology (33 citations). Yasuo Nakata has collaborated with scholars based in Japan, Canada and Finland. Frequent co-authors include Kunihiko Takamatsu, Shuji Kanamaru, Tomoko Matsuda, Katsuhiko Murakami, Toshiharu Matsumoto, Tadashi Nakamura, Keiichi Iwabuchi, Hiroaki Fujii, Sachiko Hirose and Toshikazu Shirai. Their work appears in journals such as Applied Microbiology and Biotechnology, The American Journal of Surgical Pathology and Japanese Journal of Applied Physics.
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.