Kazumi Ishimura‐Oka
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
-
- Lipid metabolism and disorders
Papers in
-
- Metabolism, Diabetes, and Cancer 2
- Peroxisome Proliferator-Activated Receptors 2
- Surgery 5
- Pancreatic function and diabetes 2
- Cholesterol and Lipid Metabolism 2
- Lipoproteins and Cardiovascular Health 2
- Co-authors
- Kazuhiro Oka (7 shared papers)Lawrence Chan (6 shared papers)Heinz Linhart (1 shared paper)Tetsuya Kibe (1 shared paper)Francesco J. DeMayo (1 shared paper)Roger J. Bick (1 shared paper)Brian J. Poindexter (1 shared paper)Gretchen J. Darlington (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Genomics (2 papers)Journal of Lipid Research (1 paper)Gene (1 paper)European Journal of Biochemistry (1 paper)
- Partner nations
- United StatesPolandGermany
In The Last Decade
Kazumi Ishimura‐Oka
12 papers receiving 719 citations
Peers
Comparison fields: 5 of 73
- Physiology 200
- Cardiology and Cardiovascular Medicine 161
- Endocrinology, Diabetes and Metabolism 116
- Cancer Research 105
- Biochemistry 48
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-authors
The 25 scholars most cited alongside Kazumi Ishimura‐Oka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 268 | |
| 2 | 1996 | 109 | |
| 3 | 1994 | 96 | |
| 4 | 1990 | 66 | |
| 5 | 1999 | 63 | |
| 6 | 1997 | 37 | |
| 7 | 1994 | 30 | |
| 8 | 1992 | 21 | |
| 9 | 1996 | 15 | |
| 10 | A missense mutation (Trp86----Arg) in exon 3 of the lipoprotein lipase gene: a cause of familial chylomicronemia. | 1992 | 12 |
| 11 | 1998 | 7 | |
| 12 | 1995 | 6 |
About Kazumi Ishimura‐Oka
Kazumi Ishimura‐Oka is a scholar working on Molecular Biology, Surgery, Physiology, Cardiology and Cardiovascular Medicine and Genetics, having authored 12 papers that have together received 730 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (3 papers), Lipid metabolism and disorders (3 papers), Pancreatic function and diabetes (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cholesterol and Lipid Metabolism (2 papers), Cancer, Lipids, and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Physiology (200 citations), Cardiology and Cardiovascular Medicine (161 citations), Endocrinology, Diabetes and Metabolism (116 citations), Cancer Research (105 citations) and Biochemistry (48 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, Tetsuya Kibe, Francesco J. DeMayo, Roger J. Bick, Brian J. Poindexter, Gretchen J. Darlington, Merry Sullivan and Makoto Nakamuta. Their work appears in journals such as Journal of Biological Chemistry, Genomics, Journal of Lipid Research, Gene and European Journal of Biochemistry.
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.