Naoko Nakano
- Co-authors
- Ichiro UenoNaoki OhmiyaTomomitsu TaharaKageaki AIBARAYoshihito NakagawaTomoyuki ShibataSho‐ichi TsujiyamaMitsuo Nagasaka
- Topics
- Amino Acid Enzymes and Metabolism (5 papers)Metabolism and Genetic Disorders (5 papers)Mycotoxins in Agriculture and Food (5 papers)
- Journals
- International Journal of Molecular SciencesClinical ChemistryAnnals of the Rheumatic Diseases
- Partner nations
- JapanArmeniaUnited States
In The Last Decade
Naoko Nakano
48 papers receiving 500 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 188
- Cancer Research 98
- Immunology 80
- Plant Science 75
- Pathology and Forensic Medicine 67
Countries citing papers authored by Naoko Nakano
This map shows the geographic impact of Naoko Nakano'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 Naoko Nakano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoko Nakano more than expected).
Fields of papers citing papers by Naoko Nakano
This network shows the impact of papers produced by Naoko Nakano. 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 Naoko Nakano. The network helps show where Naoko Nakano may publish in the future.
Co-authorship network of co-authors of Naoko Nakano
This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Nakano. A scholar is included among the top collaborators of Naoko Nakano 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 Naoko Nakano. Naoko Nakano 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 | 6 | |
| 3 | 7 | |
| 4 | 20 | |
| 5 | 17 | |
| 6 | 39 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | Multienzyme control serum (Seraclear-HE) containing human enzymes from established cell lines and other sources. 3: Evaluation as candidate working enzyme reference material for gamma-glutamyltransferase. | 6 |
| 13 | 10 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | Comparative studies on the enzyme activities in the mice liver cells of normal, regenerating and tumor developed. Alkaline phosphatase, glutamic-oxaloacetic transaminase, cysteine-desulfhydrase, β-glucuronidase. On the activity of alkaline phosphatase, glutamic oxaloacetic transaminase, cysteine-desulfhydrase and β-glucuronidase. | 0 |
| 20 | 1 |
About Naoko Nakano
Naoko Nakano is a scholar working on Microbiology, Clinical Biochemistry and Biochemistry, having authored 52 papers that have together received 518 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (5 papers), Metabolism and Genetic Disorders (5 papers) and Mycotoxins in Agriculture and Food (5 papers). The work is most often cited by research in Biochemistry (67 citations), Cancer Research (98 citations) and Immunology (80 citations). Naoko Nakano has collaborated with scholars based in Japan, Armenia and United States. Frequent co-authors include Ichiro Ueno, Naoki Ohmiya, Tomomitsu Tahara, Kageaki AIBARA, Yoshihito Nakagawa, Tomoyuki Shibata, Sho‐ichi Tsujiyama, Mitsuo Nagasaka, Hiroyuki Wakamoto and Norimoto Kobayashi. Their work appears in journals such as International Journal of Molecular Sciences, Clinical Chemistry and Annals of the Rheumatic Diseases.
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.