N. Shibata
- Pharmaceutical Science top 2%
- Molecular Biology
- Nutrition and Dietetics
- Neurology
- Pediatrics, Perinatology and Child Health
- Co-authors
- Kanji TakadaNatarajan VenkatesanYukako YoshikawaYoshiaki ItohMasahiro MurakamiKikuko AmagaseY YamashitaYoshihiro Yamamoto
- Topics
- Renal Transplantation Outcomes and Treatments (4 papers)Advancements in Transdermal Drug Delivery (3 papers)Transplantation: Methods and Outcomes (3 papers)
- Partner nations
- JapanUnited States
In The Last Decade
N. Shibata
11 papers receiving 315 citations
Peers
Comparison fields: 5 of 78
- Pharmaceutical Science 136
- Molecular Biology 69
- Nutrition and Dietetics 38
- Neurology 37
- Pediatrics, Perinatology and Child Health 30
Countries citing papers authored by N. Shibata
This map shows the geographic impact of N. Shibata'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 N. Shibata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Shibata more than expected).
Fields of papers citing papers by N. Shibata
This network shows the impact of papers produced by N. Shibata. 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 N. Shibata. The network helps show where N. Shibata may publish in the future.
Co-authorship network of co-authors of N. Shibata
This figure shows the co-authorship network connecting the top 25 collaborators of N. Shibata. A scholar is included among the top collaborators of N. Shibata 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 N. Shibata. N. Shibata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 60 | |
| 3 | 66 | |
| 4 | 78 | |
| 5 | 12 | |
| 6 | 9 | |
| 7 | Relationship between area under the concentration versus time curve of cyclosporin A, creatinine clearance, hematocrit value, and other clinical factors in Japanese renal transplant patients. | 15 |
| 8 | 2 | |
| 9 | [Isolated angiitis of the CNS associated with Hashimoto's disease]. | 43 |
| 10 | Quantitative determination of cyclosporin A in whole blood and plasma by high performance liquid chromatography. | 6 |
| 11 | 8 |
About N. Shibata
N. Shibata is a scholar working on Transplantation, Pharmaceutical Science and Hematology, having authored 11 papers that have together received 328 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (4 papers), Advancements in Transdermal Drug Delivery (3 papers) and Transplantation: Methods and Outcomes (3 papers). The work is most often cited by research in Pharmaceutical Science (136 citations), Transplantation (20 citations) and Nutrition and Dietetics (38 citations). N. Shibata has collaborated with scholars based in Japan and United States. Frequent co-authors include Kanji Takada, Natarajan Venkatesan, Yukako Yoshikawa, Yoshiaki Itoh, Masahiro Murakami, Kikuko Amagase, Y Yamashita, Yoshihiro Yamamoto, Masakazu Suga and Norio Sunami. Their work appears in journals such as Biomaterials, Journal of Controlled Release and The Journal of Urology.
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.