Kazuo Kotani
- Surgery
- Molecular Biology
- Biochemistry top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Immunology
- Co-authors
- Takashi KannoMasato MaekawaMitsuhisa ManabeAkira KondoFuyuki KametaniKazunori SaitoYasushi SaitōHideaki Bujo
- Topics
- Lipoproteins and Cardiovascular Health (5 papers)Atherosclerosis and Cardiovascular Diseases (5 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)
- Journals
- European Heart JournalArteriosclerosis Thrombosis and Vascular BiologyJournal of Lipid Research
- Partner nations
- Japan
In The Last Decade
Kazuo Kotani
26 papers receiving 734 citations
Peers
Comparison fields: 5 of 90
- Surgery 247
- Molecular Biology 163
- Biochemistry 148
- Endocrinology, Diabetes and Metabolism 146
- Immunology 139
Countries citing papers authored by Kazuo Kotani
This map shows the geographic impact of Kazuo Kotani'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 Kazuo Kotani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuo Kotani more than expected).
Fields of papers citing papers by Kazuo Kotani
This network shows the impact of papers produced by Kazuo Kotani. 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 Kazuo Kotani. The network helps show where Kazuo Kotani may publish in the future.
Co-authorship network of co-authors of Kazuo Kotani
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuo Kotani. A scholar is included among the top collaborators of Kazuo Kotani 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 Kazuo Kotani. Kazuo Kotani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Tibolone can decrease lipoprotein(a) concentrations in postmenopausal women: a systematic review and meta-analysis of controlled trials | 2 |
| 2 | 15 | |
| 3 | 2 | |
| 4 | 21 | |
| 5 | 10 | |
| 6 | 44 | |
| 7 | 13 | |
| 8 | 24 | |
| 9 | 30 | |
| 10 | 90 | |
| 11 | 62 | |
| 12 | 21 | |
| 13 | 134 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 6 | |
| 18 | 56 | |
| 19 | 31 | |
| 20 | 6 |
About Kazuo Kotani
Kazuo Kotani is a scholar working on Biochemistry, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 761 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Biochemistry (148 citations), Endocrinology, Diabetes and Metabolism (146 citations) and Immunology (139 citations). Kazuo Kotani has collaborated with scholars based in Japan. Frequent co-authors include Takashi Kanno, Masato Maekawa, Mitsuhisa Manabe, Akira Kondo, Fuyuki Kametani, Kazunori Saito, Yasushi Saitō, Hideaki Bujo, Kazuo Takahashi and Masahiro Inoue. Their work appears in journals such as European Heart Journal, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Lipid Research.
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.