Kanako Sekiguchi

460 citations
11 papers · 137 indexed · h-index 7
Topics
Liver Disease Diagnosis and Treatment (5 papers)Adipose Tissue and Metabolism (4 papers)Mitochondrial Function and Pathology (3 papers)
Partner nations
Japan

In The Last Decade

Kanako Sekiguchi

10 papers receiving 134 citations

Peers

Kanako Sekiguchi
Comparison fields: 5 of 42
  • Molecular Biology 63
  • Physiology 58
  • Epidemiology 50
  • Endocrinology, Diabetes and Metabolism 30
  • Pathology and Forensic Medicine 17
Replace Eric J. Sulkers with:
Eric J. Sulkers Netherlands
Alicia DiBattista Canada
HELEN A. KANDARAKIS Greece
Paula Singmann Germany
Antonio Gázquez Spain
C Tountas Greece
Aleksandra Kotwica United Kingdom
C. Belosi Italy
Guixia Wang China
Jelena Stanarčić Gajović Serbia
Kanako Sekiguchi relative to Eric J. Sulkers Netherlands Eric J. Sulkers's profile →
Citations per field
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Eric J. Sulkers · 1×
Citations per year

Countries citing papers authored by Kanako Sekiguchi

Since Specialization
Citations

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

Fields of papers citing papers by Kanako Sekiguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanako Sekiguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Kanako Sekiguchi. A scholar is included among the top collaborators of Kanako Sekiguchi 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 Kanako Sekiguchi. Kanako Sekiguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1
Assessing the role of ethnicity on cytochrome P450 enzymes: A global/Asian study.
1
2 26
3 6
4 14
5 11
6 9
7 6
8 13
9 20
10 30
11 1

About Kanako Sekiguchi

Kanako Sekiguchi is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 11 papers that have together received 137 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Adipose Tissue and Metabolism (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Clinical Biochemistry (17 citations), Physiology (58 citations) and Endocrinology, Diabetes and Metabolism (30 citations). Kanako Sekiguchi has collaborated with scholars based in Japan. Frequent co-authors include Masao Yoshida, Akatsuki Kokaze, Yutaka Takashima, Naomi Matsunaga, Yoshiko Uchida, Koji Teruya, Masao Satoh, Mamoru Ishikawa, Akira KUBO and Nobuo Takeda. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Experimental Gerontology and Mechanisms of Ageing and Development.

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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