Masaki Nishikawa
- Automotive Engineering top 5%
- Hepatology top 10%
- Liver physiology and pathology 13
- Biomedical Engineering top 5%
- 3D Printing in Biomedical Research 21
- Innovative Microfluidic and Catalytic Techniques Innovation 7
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- Tissue Engineering and Regenerative Medicine 12
- Pancreatic function and diabetes 6
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- Pluripotent Stem Cells Research 14
- Renal and related cancers 12
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- Renal cell carcinoma treatment 5
- Co-authors
- Yasuyuki SakaiNobuhiko KojimaMarie ShinoharaTeruo FujiiNorimoto YanagawaKikuo KomoriTakatoki YamamotoJürgen Gröll
- Journals
- SHILAP Revista de lepidopterología (3 papers)PLoS ONE (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Masaki Nishikawa
55 papers receiving 844 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Automotive Engineering 192
- Hepatology 112
- Biomedical Engineering 571
- Biomaterials 68
- Surgery 196
Countries citing papers authored by Masaki Nishikawa
This map shows the geographic impact of Masaki Nishikawa'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 Masaki Nishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Nishikawa more than expected).
Fields of papers citing papers by Masaki Nishikawa
This network shows the impact of papers produced by Masaki Nishikawa. 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 Masaki Nishikawa. The network helps show where Masaki Nishikawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masaki Nishikawa, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 4 | |
| 10 | 2022 | 0 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 29 | |
| 14 | 2021 | 4 | |
| 15 | The bioprinting roadmapbreakdown → | 2020 | 323 |
| 16 | 2018 | 11 | |
| 17 | 2018 | 6 | |
| 18 | 2015 | 14 | |
| 19 | 2007 | 14 | |
| 20 | Low temperature structure of the α′-(BEDT-TTF)2IBr2 organic magnetic semiconductor | 1997 | 11 |
About Masaki Nishikawa
Masaki Nishikawa is a scholar working on Hepatology, Biomedical Engineering and Pharmacology, having authored 59 papers that have together received 860 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (21 papers), Pluripotent Stem Cells Research (14 papers), Liver physiology and pathology (13 papers), Tissue Engineering and Regenerative Medicine (12 papers), Renal and related cancers (12 papers), Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Pancreatic function and diabetes (6 papers) and Renal cell carcinoma treatment (5 papers). The work is most often cited by research in Automotive Engineering (192 citations), Hepatology (112 citations) and Biomedical Engineering (571 citations). Masaki Nishikawa has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Yasuyuki Sakai, Nobuhiko Kojima, Marie Shinohara, Teruo Fujii, Norimoto Yanagawa, Kikuo Komori, Takatoki Yamamoto, Jürgen Gröll, Andrew C. Daly and Lorenzo Moroni. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.