Kiyoshi Sato

1.6k citations
48 papers · 1.4k indexed · h-index 21
Topics
Coenzyme Q10 studies and effects (4 papers)Adenosine and Purinergic Signaling (4 papers)Antibiotics Pharmacokinetics and Efficacy (4 papers)

In The Last Decade

Kiyoshi Sato

47 papers receiving 1.3k citations

Peers

Kiyoshi Sato
Comparison fields: 5 of 109
  • Molecular Biology 689
  • Biomedical Engineering 155
  • Pharmaceutical Science 142
  • Cancer Research 126
  • Oncology 122
Replace Mark J. Poznansky with:
Mark J. Poznansky Canada
Baozhong Zhao United States
Yating Yang China
Galit Levin Israel
Daniel J. Waldon United States
Michael Bachelor United States
Abhimanyu Thakur United States
Sutapa Ray United States
W Wohlrab Germany
Kiyoshi Sato relative to Mark J. Poznansky Canada Mark J. Poznansky's profile →
Citations per field
00.5×1.5×2.3×
Mark J. Poznansky · 1×
Citations per year

Countries citing papers authored by Kiyoshi Sato

Since Specialization
Citations

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

Fields of papers citing papers by Kiyoshi Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyoshi Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Sato. A scholar is included among the top collaborators of Kiyoshi Sato 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 Kiyoshi Sato. Kiyoshi Sato 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 47
2 10
3 23
4 3
5 53
6 73
7 23
8 58
9 122
10 159
11 18
12 21
13 2
14 22
15 9
16 7
17 150
18 2
19 12
20
In vivo antibacterial activity of bacmecillinam (KW-1100): Protective effects in experimental mouse intraperitoneal and ascending urinary tract infection model
1

About Kiyoshi Sato

Kiyoshi Sato is a scholar working on Nuclear Energy and Engineering, Physiology and Developmental Neuroscience, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Coenzyme Q10 studies and effects (4 papers), Adenosine and Purinergic Signaling (4 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). The work is most often cited by research in Pharmaceutical Science (142 citations), Dermatology (112 citations) and Molecular Biology (689 citations). Kiyoshi Sato has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Yasunori Morimoto, Kenji Sugibayashi, Teiichi Motoyama, Satoshi Nishizuka, Tsuguo Sawada, Takehiko Kitamori, Manabu Tokeshi, Takashi Tsuchiya, Takayoshi Waki and Gen Tamura. Their work appears in journals such as Oncogene, American Journal Of Pathology and Journal of Cerebral Blood Flow & Metabolism.

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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