Kazumi Ishimura‐Oka
- Molecular Biology
- Physiology top 10%
- Surgery
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Co-authors
- Kazuhiro OkaLawrence ChanHeinz LinhartFrancesco J. DeMayoBrian J. PoindexterRoger J. BickTetsuya KibeGretchen J. Darlington
- Topics
- Lipid metabolism and disorders (3 papers)Erythrocyte Function and Pathophysiology (3 papers)Cholesterol and Lipid Metabolism (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Lipid Research
- Partner nations
- United StatesPolandGermany
In The Last Decade
Kazumi Ishimura‐Oka
12 papers receiving 719 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 361
- Physiology 200
- Surgery 165
- Cardiology and Cardiovascular Medicine 161
- Epidemiology 158
Countries citing papers authored by Kazumi Ishimura‐Oka
This map shows the geographic impact of Kazumi Ishimura‐Oka'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 Kazumi Ishimura‐Oka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazumi Ishimura‐Oka more than expected).
Fields of papers citing papers by Kazumi Ishimura‐Oka
This network shows the impact of papers produced by Kazumi Ishimura‐Oka. 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 Kazumi Ishimura‐Oka. The network helps show where Kazumi Ishimura‐Oka may publish in the future.
Co-authorship network of co-authors of Kazumi Ishimura‐Oka
This figure shows the co-authorship network connecting the top 25 collaborators of Kazumi Ishimura‐Oka. A scholar is included among the top collaborators of Kazumi Ishimura‐Oka 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 Kazumi Ishimura‐Oka. Kazumi Ishimura‐Oka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 268 | |
| 2 | 63 | |
| 3 | 7 | |
| 4 | 37 | |
| 5 | 109 | |
| 6 | 15 | |
| 7 | 6 | |
| 8 | 96 | |
| 9 | 30 | |
| 10 | A missense mutation (Trp86----Arg) in exon 3 of the lipoprotein lipase gene: a cause of familial chylomicronemia. | 12 |
| 11 | 21 | |
| 12 | 66 |
About Kazumi Ishimura‐Oka
Kazumi Ishimura‐Oka is a scholar working on Physiology, Biochemistry and Cancer Research, having authored 12 papers that have together received 730 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Physiology (200 citations), Cardiology and Cardiovascular Medicine (161 citations) and Endocrinology, Diabetes and Metabolism (116 citations). Kazumi Ishimura‐Oka has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Kazuhiro Oka, Lawrence Chan, Heinz Linhart, Francesco J. DeMayo, Brian J. Poindexter, Roger J. Bick, Tetsuya Kibe, Gretchen J. Darlington, Merry Sullivan and Makoto Nakamuta. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.