Kazuyuki Ueno

4.3k citations
179 papers · 3.0k indexed · h-index 27
Topics
Drug Transport and Resistance Mechanisms (18 papers)Pharmacogenetics and Drug Metabolism (16 papers)Antibiotics Pharmacokinetics and Efficacy (14 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Kazuyuki Ueno

162 papers receiving 2.9k citations

Peers

Kazuyuki Ueno
Comparison fields: 5 of 153
  • Molecular Biology 636
  • Oncology 572
  • Pharmacology 570
  • Physiology 436
  • Cardiology and Cardiovascular Medicine 322
Replace Nathan Davies with:
Nathan Davies United Kingdom
Richard N. Upton Australia
Johan Gabrielsson Sweden
Joo‐Youn Cho South Korea
I‐Te Lee Taiwan
Donald E. Mager United States
Bruce Charles Australia
Wayne A. Colburn United States
Paolo Caraceni Italy
Howard Greenberg United States
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Citations per field
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Citations per year

Countries citing papers authored by Kazuyuki Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Kazuyuki Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuyuki Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuyuki Ueno. A scholar is included among the top collaborators of Kazuyuki Ueno 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 Kazuyuki Ueno. Kazuyuki Ueno 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 1
2 2
3 0
4 1
5 83
6
Recent technology of refractory production
1
7 5
8 3
9 9
10 71
11
Evaluation of pharmacokinetics and side effects of teicoplanin in treating patients with MRSA infection
2
12 24
13 152
14 14
15 1
16 2
17 1
18 1
19 1
20 4

About Kazuyuki Ueno

Kazuyuki Ueno is a scholar working on Pharmacology, Analytical Chemistry and Computational Mechanics, having authored 179 papers that have together received 3.0k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (18 papers), Pharmacogenetics and Drug Metabolism (16 papers) and Antibiotics Pharmacokinetics and Efficacy (14 papers). The work is most often cited by research in Pharmacology (570 citations), Endocrine and Autonomic Systems (284 citations) and Molecular Medicine (109 citations). Kazuyuki Ueno has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masafumi Kitakaze, Kunio Miyatake, Noritoshi Nagaya, Masaaki Uematsu, Shiro Kamakura, Kazuo Komamura, Kenji Kangawa, Yoshiro Saito, Shuji Kitagawa and Tomohiro Nabekura. Their work appears in journals such as Circulation, American Journal of Respiratory and Critical Care Medicine and Langmuir.

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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