Mitsukazu Kitada

2.2k citations
80 papers · 1.9k indexed · h-index 23
Topics
Pharmacogenetics and Drug Metabolism (59 papers)Drug Transport and Resistance Mechanisms (26 papers)Metabolism and Genetic Disorders (16 papers)
Partner nations
Japan

In The Last Decade

Mitsukazu Kitada

79 papers receiving 1.8k citations

Peers

Mitsukazu Kitada
Comparison fields: 5 of 105
  • Pharmacology 1.3k
  • Molecular Biology 588
  • Oncology 555
  • Cancer Research 212
  • Endocrinology, Diabetes and Metabolism 197
Replace M V Martin with:
M V Martin United States
Masayuki Komori Japan
David T. Molowa United States
S.B. West United States
Y. Yasukochi Japan
P. Kremers Belgium
T. Kamataki Japan
A. H. Conney United States
F. Peter Guengerich United States
Miki Shimada Japan
Mitsukazu Kitada relative to M V Martin United States M V Martin's profile →
Citations per field
00.5×1.5×2.2×
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Countries citing papers authored by Mitsukazu Kitada

Since Specialization
Citations

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

Fields of papers citing papers by Mitsukazu Kitada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsukazu Kitada

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsukazu Kitada. A scholar is included among the top collaborators of Mitsukazu Kitada 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 Mitsukazu Kitada. Mitsukazu Kitada 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 6
2 20
3 3
4 14
5 18
6 19
7 61
8 3
9
Metabolism of dacarbazine by rat liver microsomes contribution of CYP1A enzymes to dacarbazine N-demethylation.
13
10 20
11 5
12 9
13 1
14 46
15 173
16 12
17 27
18 11
19 22
20 13

About Mitsukazu Kitada

Mitsukazu Kitada is a scholar working on Pharmacology, Biochemistry and Clinical Biochemistry, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (59 papers), Drug Transport and Resistance Mechanisms (26 papers) and Metabolism and Genetic Disorders (16 papers). The work is most often cited by research in Pharmacology (1.3k citations), Clinical Biochemistry (185 citations) and Biochemistry (190 citations). Mitsukazu Kitada has collaborated with scholars based in Japan. Frequent co-authors include Tetsuya Kamataki, Masayuki Komori, K. Itahashi, Haruo Kitagawa, Shigeru Ohmori, Yoshio Kanakubo, Tadaaki Rikihisa, Itsuko Ishii, Kazuei Igarashi and Seiyu Hirose. Their work appears in journals such as Biochemistry, Biochemical and Biophysical Research Communications and FEBS Letters.

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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