Atsushi Nishikawa
- Biotechnology top 0.5%
- Enzyme Production and Characterization 46
- Immunology top 2%
- Galectins and Cancer Biology 18
- Molecular Biology top 2%
- Glycosylation and Glycoproteins Research 58
- Organic Chemistry top 2%
- Carbohydrate Chemistry and Synthesis 36
- Cell Biology top 5%
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- Microbial Metabolites in Food Biotechnology 20
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- Botulinum Toxin and Related Neurological Disorders 16
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- Biofuel production and bioconversion 15
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- Enzyme Structure and Function 13
- Co-authors
- Naoyuki TaniguchiYoshito IharaTakashi TonozukaShigeru FujiiPascal BailonJianguo GuSeiji TaniguchiM Yoshimura
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (11 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Atsushi Nishikawa
188 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 133
- Biotechnology 569
- Immunology 1.3k
- Molecular Biology 2.8k
- Organic Chemistry 1.1k
- Cell Biology 388
Countries citing papers authored by Atsushi Nishikawa
This map shows the geographic impact of Atsushi 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 Atsushi Nishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Nishikawa more than expected).
Fields of papers citing papers by Atsushi Nishikawa
This network shows the impact of papers produced by Atsushi 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 Atsushi Nishikawa. The network helps show where Atsushi Nishikawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Atsushi 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 | 6 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 17 | |
| 9 | 2018 | 19 | |
| 10 | 2018 | 13 | |
| 11 | 2016 | 14 | |
| 12 | 2015 | 8 | |
| 13 | 2014 | 10 | |
| 14 | 2011 | 1 | |
| 15 | 2008 | 15 | |
| 16 | 2005 | 27 | |
| 17 | 2004 | 5 | |
| 18 | Mechanisms mediating cancer cachexia-related metabolec abnormalities | 1997 | 3 |
| 19 | 1994 | 84 | |
| 20 | 1992 | 117 |
About Atsushi Nishikawa
Atsushi Nishikawa is a scholar working on Biotechnology, Immunology and Nutrition and Dietetics, having authored 195 papers that have together received 4.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (58 papers), Enzyme Production and Characterization (46 papers), Carbohydrate Chemistry and Synthesis (36 papers), Microbial Metabolites in Food Biotechnology (20 papers), Galectins and Cancer Biology (18 papers), Botulinum Toxin and Related Neurological Disorders (16 papers), Biofuel production and bioconversion (15 papers) and Enzyme Structure and Function (13 papers). The work is most often cited by research in Biotechnology (569 citations), Immunology (1.3k citations) and Molecular Biology (2.8k citations). Atsushi Nishikawa has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Naoyuki Taniguchi, Yoshito Ihara, Takashi Tonozuka, Shigeru Fujii, Pascal Bailon, Jianguo Gu, Seiji Taniguchi, M Yoshimura, Eiji Miyoshi and Tetsuo Nishiura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.