Kiyoshi Niwa
- Neurology top 0.5%
- Biochemistry top 1%
- Eicosanoids and Hypertension Pharmacology 4
- Physiology top 2%
- Alzheimer's disease research and treatments 6
- Nitric Oxide and Endothelin Effects 5
- Neurology top 2%
- Pharmacology top 2%
- Inflammatory mediators and NSAID effects 6
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- Innovation and Knowledge Management 11
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- Drug Transport and Resistance Mechanisms 7
- Colorectal Cancer Surgical Treatments 6
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- S100 Proteins and Annexins 5
- Co-authors
- Costantino IadecolaGeorge A. CarlsonSteven G. YounkinKen KazamaEiichi ArakiScott G. MorhamM. Elizabeth RossMasao Nagayama
- Cited by
- NeurologyBiochemistryPhysiology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Neuroscience (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Kiyoshi Niwa
67 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 133
- Neurology 960
- Biochemistry 319
- Physiology 1.1k
- Neurology 467
- Pharmacology 446
Countries citing papers authored by Kiyoshi Niwa
This map shows the geographic impact of Kiyoshi Niwa'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 Kiyoshi Niwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyoshi Niwa more than expected).
Fields of papers citing papers by Kiyoshi Niwa
This network shows the impact of papers produced by Kiyoshi Niwa. 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 Kiyoshi Niwa. The network helps show where Kiyoshi Niwa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kiyoshi Niwa, 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 | 2020 | 5 | |
| 2 | 2019 | 6 | |
| 3 | 2019 | 10 | |
| 4 | 2004 | 118 | |
| 5 | 2002 | 115 | |
| 6 | 1999 | 334 | |
| 7 | 1998 | 17 | |
| 8 | 1998 | 30 | |
| 9 | 1997 | 27 | |
| 10 | 1996 | 29 | |
| 11 | 1994 | 1 | |
| 12 | 1994 | 1 | |
| 13 | 1994 | 64 | |
| 14 | 1993 | 1 | |
| 15 | 1992 | 0 | |
| 16 | 1991 | 1 | |
| 17 | 1990 | 1 | |
| 18 | 1990 | 0 | |
| 19 | An experimental comparison of knowledge representation schemes | 1989 | 3 |
| 20 | 1984 | 23 |
About Kiyoshi Niwa
Kiyoshi Niwa is a scholar working on Neurology, Strategy and Management and Biochemistry, having authored 71 papers that have together received 3.1k indexed citations. Recurring topics across this work include Innovation and Knowledge Management (11 papers), Drug Transport and Resistance Mechanisms (7 papers), Colorectal Cancer Surgical Treatments (6 papers), Alzheimer's disease research and treatments (6 papers), Inflammatory mediators and NSAID effects (6 papers), Nitric Oxide and Endothelin Effects (5 papers), S100 Proteins and Annexins (5 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). The work is most often cited by research in Neurology (960 citations), Biochemistry (319 citations) and Physiology (1.1k citations). Kiyoshi Niwa has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Costantino Iadecola, George A. Carlson, Steven G. Younkin, Ken Kazama, Eiichi Araki, Scott G. Morham, M. Elizabeth Ross, M. Elizabeth Ross, Masao Nagayama and Linda H. Younkin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.