Daiji Kawanami
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 5%
- Nephrology top 1%
- Immunology top 10%
- Co-authors
- Kazunori UtsunomiyaKeiichiro MatobaYuichi TakashiKoji MaemuraTamotsu YokotaTakefumi NojiriNorihiko TakedaRyozo Nagai
- Topics
- Diabetes Treatment and Management (19 papers)Metabolism, Diabetes, and Cancer (17 papers)Parathyroid Disorders and Treatments (10 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Daiji Kawanami
76 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.2k
- Endocrinology, Diabetes and Metabolism 599
- Epidemiology 532
- Nephrology 465
- Immunology 345
Countries citing papers authored by Daiji Kawanami
This map shows the geographic impact of Daiji Kawanami'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 Daiji Kawanami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiji Kawanami more than expected).
Fields of papers citing papers by Daiji Kawanami
This network shows the impact of papers produced by Daiji Kawanami. 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 Daiji Kawanami. The network helps show where Daiji Kawanami may publish in the future.
Co-authorship network of co-authors of Daiji Kawanami
This figure shows the co-authorship network connecting the top 25 collaborators of Daiji Kawanami. A scholar is included among the top collaborators of Daiji Kawanami 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 Daiji Kawanami. Daiji Kawanami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 17 | |
| 9 | 28 | |
| 10 | 32 | |
| 11 | 10 | |
| 12 | 15 | |
| 13 | 34 | |
| 14 | 80 | |
| 15 | 10 | |
| 16 | 4 | |
| 17 | 111 | |
| 18 | Abstract 1725: Long Pentraxin3 (PTX3) is More Specific than CRP as a Marker for Vascular Inflammation | 1 |
| 19 | 388 | |
| 20 | Direct Proatherogenic Effect of C-Reactive Protein on Vascular Endothelial Cells | 1 |
About Daiji Kawanami
Daiji Kawanami is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 81 papers that have together received 2.7k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (19 papers), Metabolism, Diabetes, and Cancer (17 papers) and Parathyroid Disorders and Treatments (10 papers). The work is most often cited by research in Nephrology (465 citations), Endocrinology, Diabetes and Metabolism (599 citations) and Clinical Biochemistry (165 citations). Daiji Kawanami has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kazunori Utsunomiya, Keiichiro Matoba, Yuichi Takashi, Koji Maemura, Tamotsu Yokota, Takefumi Nojiri, Norihiko Takeda, Ryozo Nagai, Yasushi Imai and Tomohiro Harada. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Immunity.
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.