Takashi Dan
Impact in
- Nephrology top 2%
- Gout, Hyperuricemia, Uric Acid
- Chronic Kidney Disease and Diabetes
- Hematology top 5%
- Erythropoietin and Anemia Treatment
- Blood Coagulation and Thrombosis Mechanisms
Papers in
-
- Gout, Hyperuricemia, Uric Acid 6
- Hematology 12
- Blood Coagulation and Thrombosis Mechanisms 6
- Co-authors
- Toshio MiyataCharles van Ypersele de StrihouYuko IzuharaAtsuhiko IchimuraHiroshi KogaSadayoshi ItoMasayuki YamamotoSadao Kashiwazaki
- Journals
- Chemical and Pharmaceutical Bulletin (3 papers)Journal of Cerebral Blood Flow & Metabolism (2 papers)Advances in experimental medicine and biology (2 papers)Thrombosis Research (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Takashi Dan
48 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Nephrology 220
- Hematology 235
- Cancer Research 265
- Clinical Biochemistry 63
- Genetics 96
Countries citing papers authored by Takashi Dan
This map shows the geographic impact of Takashi Dan'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 Takashi Dan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Dan more than expected).
Fields of papers citing papers by Takashi Dan
This network shows the impact of papers produced by Takashi Dan. 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 Takashi Dan. The network helps show where Takashi Dan may publish in the future.
Co-authors
The 25 scholars most cited alongside Takashi Dan, 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 | 2021 | 13 | |
| 2 | 2020 | 11 | |
| 3 | 2018 | 0 | |
| 4 | 2017 | 37 | |
| 5 | 2015 | 21 | |
| 6 | 2015 | 129 | |
| 7 | 2015 | 51 | |
| 8 | 2013 | 6 | |
| 9 | 2009 | 11 | |
| 10 | 2008 | 25 | |
| 11 | 2008 | 13 | |
| 12 | 2008 | 16 | |
| 13 | 1998 | 92 | |
| 14 | 1991 | 9 | |
| 15 | 1991 | 4 | |
| 16 | 1991 | 7 | |
| 17 | 1991 | 3 | |
| 18 | 1990 | 7 | |
| 19 | 1990 | 12 | |
| 20 | 1988 | 1 |
About Takashi Dan
Takashi Dan is a scholar working on Nephrology, Hematology, Cancer Research, Clinical Biochemistry and Pharmacology, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (10 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Gout, Hyperuricemia, Uric Acid (6 papers), Advanced Glycation End Products research (5 papers), Structural and Chemical Analysis of Organic and Inorganic Compounds (5 papers), Synthesis and Reactivity of Sulfur-Containing Compounds (3 papers) and Alcohol Consumption and Health Effects (3 papers). The work is most often cited by research in Nephrology (220 citations), Hematology (235 citations), Cancer Research (265 citations), Clinical Biochemistry (63 citations) and Genetics (96 citations). Takashi Dan has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Toshio Miyata, Charles van Ypersele de Strihou, Yuko Izuhara, Atsuhiko Ichimura, Hiroshi Koga, Sadayoshi Ito, Masayuki Yamamoto, Sadao Kashiwazaki, Chihiro Terai and Hisashi Yamanaka. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Journal of Cerebral Blood Flow & Metabolism, Advances in experimental medicine and biology, Thrombosis Research and Arteriosclerosis Thrombosis and Vascular Biology.
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.