Nobuyuki Ogawa
- Human-Computer Interaction top 1%
- Information Systems top 5%
- Pathology and Forensic Medicine top 10%
- Cardiac Ischemia and Reperfusion 9
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- Signaling Pathways in Disease 13
- RNA Research and Splicing 8
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- Nitric Oxide and Endothelin Effects 12
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- Educational Robotics and Engineering 7
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- Renal function and acid-base balance 7
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- Innovative Teaching Methods 6
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- Nuclear Receptors and Signaling 6
- Co-authors
- Hideyuki KanematsuDana M. BarryToshirō KobayashiYoshimi FukumuraKuniaki YajimaHideaki FukushimaKatsuko T. NakahiraTatsuya Shirai
- Journals
- British Journal of Pharmacology (4 papers)IEEE Journal of Solid-State Circuits (1 paper)European Journal of Pharmacology (3 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Nobuyuki Ogawa
91 papers receiving 852 citations
Peers
Comparison fields: 5 of 121
- Human-Computer Interaction 238
- Information Systems 173
- Pathology and Forensic Medicine 119
- Developmental and Educational Psychology 67
- Cardiology and Cardiovascular Medicine 121
Countries citing papers authored by Nobuyuki Ogawa
This map shows the geographic impact of Nobuyuki Ogawa'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 Nobuyuki Ogawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuyuki Ogawa more than expected).
Fields of papers citing papers by Nobuyuki Ogawa
This network shows the impact of papers produced by Nobuyuki Ogawa. 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 Nobuyuki Ogawa. The network helps show where Nobuyuki Ogawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nobuyuki Ogawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2021 | 15 | |
| 3 | 2021 | 1 | |
| 4 | Collegewide Promotion of E-Learning/Active Learning and Faculty Development. | 2016 | 0 |
| 5 | 2014 | 74 | |
| 6 | 2011 | 2 | |
| 7 | 2010 | 18 | |
| 8 | Practice and Evaluation of Problem Based Learning in Metaverse | 2009 | 11 |
| 9 | 1997 | 4 | |
| 10 | 1996 | 10 | |
| 11 | 1995 | 17 | |
| 12 | 1994 | 2 | |
| 13 | 1994 | 1 | |
| 14 | 1994 | 4 | |
| 15 | 1993 | 5 | |
| 16 | 1993 | 22 | |
| 17 | 1993 | 13 | |
| 18 | 1993 | 6 | |
| 19 | 1992 | 17 | |
| 20 | 1989 | 11 |
About Nobuyuki Ogawa
Nobuyuki Ogawa is a scholar working on Human-Computer Interaction, Nephrology and Computer Science Applications, having authored 97 papers that have together received 898 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (13 papers), Nitric Oxide and Endothelin Effects (12 papers), Cardiac Ischemia and Reperfusion (9 papers), RNA Research and Splicing (8 papers), Educational Robotics and Engineering (7 papers), Renal function and acid-base balance (7 papers), Innovative Teaching Methods (6 papers) and Nuclear Receptors and Signaling (6 papers). The work is most often cited by research in Human-Computer Interaction (238 citations), Information Systems (173 citations) and Pathology and Forensic Medicine (119 citations). Nobuyuki Ogawa has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Hideyuki Kanematsu, Dana M. Barry, Toshirō Kobayashi, Yoshimi Fukumura, Kuniaki Yajima, Hideaki Fukushima, Katsuko T. Nakahira, Tatsuya Shirai, Koji Nishikori and Masashi Kawaguchi. Their work appears in journals such as British Journal of Pharmacology, IEEE Journal of Solid-State Circuits and European Journal of Pharmacology.
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.