Atsushi Nishikawa
- Molecular Biology top 2%
- Immunology top 2%
- Organic Chemistry top 2%
- Biotechnology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Naoyuki TaniguchiYoshito IharaTakashi TonozukaShigeru FujiiPascal BailonJianguo GuSeiji TaniguchiM Yoshimura
- Topics
- Glycosylation and Glycoproteins Research (58 papers)Enzyme Production and Characterization (46 papers)Carbohydrate Chemistry and Synthesis (36 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Atsushi Nishikawa
188 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 133
- Molecular Biology 2.8k
- Immunology 1.3k
- Organic Chemistry 1.1k
- Biotechnology 569
- Radiology, Nuclear Medicine and Imaging 402
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 of co-authors of Atsushi Nishikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Nishikawa. A scholar is included among the top collaborators of Atsushi Nishikawa 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 Atsushi Nishikawa. Atsushi Nishikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 0 | |
| 8 | 17 | |
| 9 | 19 | |
| 10 | 13 | |
| 11 | 14 | |
| 12 | 8 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | 27 | |
| 17 | 5 | |
| 18 | Mechanisms mediating cancer cachexia-related metabolec abnormalities | 3 |
| 19 | 84 | |
| 20 | 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) and Carbohydrate Chemistry and Synthesis (36 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.