Kyuichiro Okuda

1.8k citations
56 papers · 1.4k indexed · h-index 21
Topics
Pharmacogenetics and Drug Metabolism (18 papers)Drug Transport and Resistance Mechanisms (15 papers)Cholesterol and Lipid Metabolism (12 papers)
Partner nations
JapanSwedenGermany

In The Last Decade

Kyuichiro Okuda

55 papers receiving 1.4k citations

Peers

Kyuichiro Okuda
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 506
  • Pathology and Forensic Medicine 473
  • Pharmacology 452
  • Molecular Biology 445
  • Oncology 365
Replace Kazuyoshi Kon with:
Kazuyoshi Kon Japan
R. Dargel Germany
Laura Conde de la Rosa United States
Bernard Bouscarel United States
Philip B. Hylemon United States
M A Leo United States
Jaspreet S. Sidhu United States
Yoshikazu Emi Japan
T. Hallinan United Kingdom
Patricia von Dippe United States
Kyuichiro Okuda relative to Kazuyoshi Kon Japan Kazuyoshi Kon's profile →
Citations per field
00.5×3.6×
Kazuyoshi Kon · 1×
Citations per year

Countries citing papers authored by Kyuichiro Okuda

Since Specialization
Citations

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

Fields of papers citing papers by Kyuichiro Okuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyuichiro Okuda

This figure shows the co-authorship network connecting the top 25 collaborators of Kyuichiro Okuda. A scholar is included among the top collaborators of Kyuichiro Okuda 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 Kyuichiro Okuda. Kyuichiro Okuda 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 4
4 11
5 59
6 121
7 4
8
Purification and characterization of 7α-hydroxy-4-cholesten-3-one 12α-hydroxylase
17
9 34
10 31
11 41
12 173
13 95
14 4
15 88
16 32
17 5
18 17
19 26
20 15

About Kyuichiro Okuda

Kyuichiro Okuda is a scholar working on Pharmacology, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (18 papers), Drug Transport and Resistance Mechanisms (15 papers) and Cholesterol and Lipid Metabolism (12 papers). The work is most often cited by research in Pharmacology (452 citations), Endocrinology, Diabetes and Metabolism (506 citations) and Pathology and Forensic Medicine (473 citations). Kyuichiro Okuda has collaborated with scholars based in Japan, Sweden and Germany. Frequent co-authors include Mitsuhide Noshiro, Yoshihiko Ohyama, Emiko Usui, Tadashi Ogishima, Shin‐ichi Hayashi, Masazumi Nishimoto, Ken-ichirou Morohashi, Megumi Akiyoshi‐Shibata, Yoshiyasu Yabusaki and Toshiyuki Sakaki. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Analytical Biochemistry.

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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