Daisuke Takada
Impact in
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
- Dialysis and Renal Disease Management
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology
Papers in
- Co-authors
- Susumu Kunisawa (23 shared papers)Jung‐ho Shin (15 shared papers)Tetsuji Morishita (15 shared papers)Yuichi Imanaka (22 shared papers)Yoichi Ezura (7 shared papers)Mitsuru Emi (6 shared papers)Yūkō Fujita (6 shared papers)Yasuhiko Iino (9 shared papers)
- Journals
- PLoS ONE (7 papers)Journal of Atherosclerosis and Thrombosis (3 papers)BMC Nephrology (2 papers)Scientific Reports (2 papers)Heart (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Daisuke Takada
55 papers receiving 634 citations
Peers
Comparison fields: 5 of 106
- Nephrology 69
- Biochemistry 58
- Endocrinology, Diabetes and Metabolism 108
- Oncology 78
- Pathology and Forensic Medicine 47
Countries citing papers authored by Daisuke Takada
This map shows the geographic impact of Daisuke Takada'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 Daisuke Takada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Takada more than expected).
Fields of papers citing papers by Daisuke Takada
This network shows the impact of papers produced by Daisuke Takada. 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 Daisuke Takada. The network helps show where Daisuke Takada may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Takada, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 72 | |
| 2 | 2002 | 38 | |
| 3 | 2021 | 34 | |
| 4 | 2006 | 31 | |
| 5 | 2020 | 27 | |
| 6 | 2003 | 27 | |
| 7 | 2010 | 27 | |
| 8 | 2021 | 26 | |
| 9 | 2016 | 26 | |
| 10 | 2002 | 24 | |
| 11 | 2021 | 23 | |
| 12 | 2021 | 20 | |
| 13 | 2021 | 20 | |
| 14 | 2003 | 20 | |
| 15 | 2016 | 19 | |
| 16 | 2015 | 18 | |
| 17 | 2017 | 15 | |
| 18 | 2003 | 15 | |
| 19 | 2003 | 15 | |
| 20 | 2021 | 14 |
About Daisuke Takada
Daisuke Takada is a scholar working on Oncology, Surgery, Nephrology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 63 papers that have together received 655 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (11 papers), Cholesterol and Lipid Metabolism (4 papers), Optical Coherence Tomography Applications (4 papers), Lipid metabolism and disorders (4 papers), Laser Material Processing Techniques (4 papers), Renal Diseases and Glomerulopathies (4 papers), Ocular and Laser Science Research (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Nephrology (69 citations), Biochemistry (58 citations), Endocrinology, Diabetes and Metabolism (108 citations), Oncology (78 citations) and Pathology and Forensic Medicine (47 citations). Daisuke Takada has collaborated with scholars based in Japan and United States. Frequent co-authors include Susumu Kunisawa, Jung‐ho Shin, Tetsuji Morishita, Yuichi Imanaka, Yoichi Ezura, Mitsuru Emi, Yūkō Fujita, Yasuhiko Iino, Yasuo Katayama and Susan Stephenson. Their work appears in journals such as PLoS ONE, Journal of Atherosclerosis and Thrombosis, BMC Nephrology, Scientific Reports and Heart.
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.