Nobuhito Shibata

2.6k citations
96 papers · 2.2k indexed · h-index 27
Topics
Drug Transport and Resistance Mechanisms (20 papers)Advanced Drug Delivery Systems (16 papers)Pharmacological Effects and Toxicity Studies (16 papers)
Partner nations
JapanGermanyNew Zealand

In The Last Decade

Nobuhito Shibata

95 papers receiving 2.0k citations

Peers

Nobuhito Shibata
Comparison fields: 5 of 124
  • Pharmaceutical Science 757
  • Molecular Biology 411
  • Oncology 377
  • Pharmacology 270
  • Pediatrics, Perinatology and Child Health 261
Replace Gregory T. Knipp with:
Gregory T. Knipp United States
Bruce J. Aungst United States
Kanji Takada Japan
Nobuyuki Sugioka Japan
Yukako Yoshikawa Japan
Teruo Murakami Japan
Kazutaka Higaki Japan
Reza Mehvar United States
William H. Barr United States
Teresa Dalla Costa Brazil
Nobuhito Shibata relative to Gregory T. Knipp United States Gregory T. Knipp's profile →
Citations per field
00.5×1.6×
Gregory T. Knipp · 1×
Citations per year

Countries citing papers authored by Nobuhito Shibata

Since Specialization
Citations

This map shows the geographic impact of Nobuhito 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 Nobuhito Shibata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuhito Shibata more than expected).

Fields of papers citing papers by Nobuhito Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nobuhito 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 Nobuhito Shibata. The network helps show where Nobuhito Shibata may publish in the future.

Co-authorship network of co-authors of Nobuhito Shibata

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuhito Shibata. A scholar is included among the top collaborators of Nobuhito 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 Nobuhito Shibata. Nobuhito Shibata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 11
3 42
4 19
5 3
6 13
7 3
8 112
9 143
10 2
11 58
12 53
13 5
14 41
15 76
16 26
17 1
18 46
19
Simultaneous determination of glucocorticoids in plasma or urine by high-performance liquid chromatography with precolumn fluorimetric derivatization by 9-anthroyl nitrile
43
20 12

About Nobuhito Shibata

Nobuhito Shibata is a scholar working on Transplantation, Pharmaceutical Science and Pharmacology, having authored 96 papers that have together received 2.2k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (20 papers), Advanced Drug Delivery Systems (16 papers) and Pharmacological Effects and Toxicity Studies (16 papers). The work is most often cited by research in Pharmaceutical Science (757 citations), Pharmacology (270 citations) and Transplantation (77 citations). Nobuhito Shibata has collaborated with scholars based in Japan, Germany and New Zealand. Frequent co-authors include Kanji Takada, Yukako Yoshikawa, Yukako Ιtο, Y.V. Rama Prasad, Asako Nishimura, Mákoto Ishida, Nobuyuki Sugioka, Riichi Tawa, Zhaopeng Hu and Tokuzo Minouchi. Their work appears in journals such as Biomaterials, Journal of Controlled Release and International Journal of Pharmaceutics.

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.

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