Kuniko Mitamura

1.9k citations
82 papers · 1.4k · h-index 17

Impact in

    • Sulfur Compounds in Biology
    • Analytical Chemistry and Chromatography
    • Mass Spectrometry Techniques and Applications

Papers in

Kuniko Mitamura

81 papers receiving 1.4k citations

Peers

Kuniko Mitamura
Comparison fields: 5 of 113
  • Biochemistry 152
  • Spectroscopy 310
  • Endocrinology, Diabetes and Metabolism 295
  • Pharmacology 110
  • Behavioral Neuroscience 40
Replace Shoujiro Ogawa with:
Shoujiro Ogawa Japan
Shigeo Ikegawa Japan
Jiro Ogura Japan
Jun Zhe Min Japan
Lenka Kujovská Krčmová Czechia
Shu‐Ping Hui Japan
Xinmin Yin United States
Nico C. van de Merbel Netherlands
Giovanna Baron Italy
Wenbin Shang China
Kuniko Mitamura relative to Shoujiro Ogawa Japan Shoujiro Ogawa's profile →
Citations per field
00.5×3.5×
Shoujiro Ogawa · 1×
Citations per year

Countries citing papers authored by Kuniko Mitamura

Since Specialization
Citations

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

Fields of papers citing papers by Kuniko Mitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kuniko Mitamura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kuniko Mitamura Line = papers co-authored together Kuniko Mitamura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013227
2 1994160
3 2001150
4 200789
5 201644
6 201433
7 200232
8 201030
9 199930
10 199526
11 200725
12 200924
13 200322
14 199720
15 200820
16 199917
17 199616
18 200716
19 199715
20 199915

About Kuniko Mitamura

Kuniko Mitamura is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism, Spectroscopy, Molecular Biology and Pathology and Forensic Medicine, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (22 papers), Hormonal and reproductive studies (14 papers), Analytical Chemistry and Chromatography (13 papers), Vitamin D Research Studies (9 papers), Estrogen and related hormone effects (8 papers), Pharmacogenetics and Drug Metabolism (8 papers), Hormonal Regulation and Hypertension (7 papers) and Plant-Derived Bioactive Compounds (6 papers). The work is most often cited by research in Biochemistry (152 citations), Spectroscopy (310 citations), Endocrinology, Diabetes and Metabolism (295 citations), Pharmacology (110 citations) and Behavioral Neuroscience (40 citations). Kuniko Mitamura has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kazutake Shimada, Kazutake Shimada, Shigeo Ikegawa, Tatsuya Higashi, Takashi Iida, Tetsushi Yamamoto, Atsushi Taga, Hirotoshi Fuda, Biao Zhou and Norman B. Javitt. Their work appears in journals such as Steroids, Journal of Chromatography B, Journal of Lipid Research, Journal of Chromatographic Science and Biological and Pharmaceutical Bulletin.

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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