Kaoru Arii
Impact in
- Clinical Biochemistry top 0.5%
- Paraoxonase enzyme and polymorphisms
- Biochemistry top 5%
- Biochemical Acid Research Studies
Papers in
-
- Paraoxonase enzyme and polymorphisms 11
- Co-authors
- Tadashi Suehiro (25 shared papers)Kozo Hashimoto (24 shared papers)Yoshitaka Kumon (23 shared papers)Yukio Ikeda (20 shared papers)Yuh Nakauchi (4 shared papers)Fumiaki Osaki (8 shared papers)Kikuko Ota (7 shared papers)Mari Inoue (6 shared papers)
- Journals
- Metabolism (6 papers)Diabetes Research and Clinical Practice (4 papers)Atherosclerosis (4 papers)Annals of the Rheumatic Diseases (3 papers)Lara D. Veeken (2 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Kaoru Arii
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Clinical Biochemistry 445
- Biochemistry 97
- Pharmacology 151
- Endocrinology, Diabetes and Metabolism 126
- Pharmacology 68
Countries citing papers authored by Kaoru Arii
This map shows the geographic impact of Kaoru Arii'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 Kaoru Arii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Arii more than expected).
Fields of papers citing papers by Kaoru Arii
This network shows the impact of papers produced by Kaoru Arii. 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 Kaoru Arii. The network helps show where Kaoru Arii may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaoru Arii, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 132 | |
| 2 | 1996 | 115 | |
| 3 | 2004 | 99 | |
| 4 | 1996 | 82 | |
| 5 | 2016 | 64 | |
| 6 | 2004 | 56 | |
| 7 | 2009 | 55 | |
| 8 | 2005 | 44 | |
| 9 | 1997 | 39 | |
| 10 | 2008 | 36 | |
| 11 | 2008 | 35 | |
| 12 | 2007 | 26 | |
| 13 | 2019 | 22 | |
| 14 | 2008 | 21 | |
| 15 | 2006 | 19 | |
| 16 | 2007 | 18 | |
| 17 | 2002 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2020 | 17 | |
| 20 | 2019 | 15 |
About Kaoru Arii
Kaoru Arii is a scholar working on Molecular Biology, Clinical Biochemistry, Rheumatology, Plant Science and Pharmacology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Paraoxonase enzyme and polymorphisms (11 papers), Cynara cardunculus studies (7 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Apelin-related biomedical research (5 papers), Hepatitis B Virus Studies (3 papers), Biochemical Acid Research Studies (3 papers), Spondyloarthritis Studies and Treatments (3 papers) and Probiotics and Fermented Foods (3 papers). The work is most often cited by research in Clinical Biochemistry (445 citations), Biochemistry (97 citations), Pharmacology (151 citations), Endocrinology, Diabetes and Metabolism (126 citations) and Pharmacology (68 citations). Kaoru Arii has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Tadashi Suehiro, Kozo Hashimoto, Yoshitaka Kumon, Yukio Ikeda, Yuh Nakauchi, Fumiaki Osaki, Kikuko Ota, Mari Inoue, Naohisa Hamashige and Tatsuhito Morita. Their work appears in journals such as Metabolism, Diabetes Research and Clinical Practice, Atherosclerosis, Annals of the Rheumatic Diseases and Lara D. Veeken.
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.