Fumiaki Urase
- Molecular Biology
- Hematology top 5%
- Genetics top 10%
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Co-authors
- Shosaku� NomuraNorihito InamiAkira ShouzuYasuhiro MaedaSeitarou OmotoYutaka KimuraToshiji IwasakaTetsuya Ueba
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (4 papers)Eosinophilic Disorders and Syndromes (3 papers)Cardiovascular Disease and Adiposity (2 papers)
- Cited by
- HematologyGeneticsRheumatology
- Journals
- Clinical Pharmacology & TherapeuticsBritish Journal of HaematologyThrombosis and Haemostasis
- Partner nations
- JapanUnited States
In The Last Decade
Fumiaki Urase
22 papers receiving 426 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 158
- Hematology 153
- Genetics 94
- Cardiology and Cardiovascular Medicine 77
- Epidemiology 70
Countries citing papers authored by Fumiaki Urase
This map shows the geographic impact of Fumiaki Urase'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 Fumiaki Urase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumiaki Urase more than expected).
Fields of papers citing papers by Fumiaki Urase
This network shows the impact of papers produced by Fumiaki Urase. 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 Fumiaki Urase. The network helps show where Fumiaki Urase may publish in the future.
Co-authorship network of co-authors of Fumiaki Urase
This figure shows the co-authorship network connecting the top 25 collaborators of Fumiaki Urase. A scholar is included among the top collaborators of Fumiaki Urase 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 Fumiaki Urase. Fumiaki Urase is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 5 | |
| 3 | 76 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 91 | |
| 7 | 25 | |
| 8 | 46 | |
| 9 | 53 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 36 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | [VNCOP-B (etoposide, mitoxantrone, cyclophosphamide, vincristine, predonisolone, bleomycin) therapy in elderly patients with aggressive non-Hodgkin lymphoma--a study of efficacy and safety, final report]. | 1 |
| 17 | 2 | |
| 18 | 10 | |
| 19 | 43 | |
| 20 | Change of serum alpha-1 microglobulin and beta-2 microglobulin following allogeneic bone marrow transplantation. | 1 |
About Fumiaki Urase
Fumiaki Urase is a scholar working on Hematology, Transplantation and Rheumatology, having authored 22 papers that have together received 439 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Eosinophilic Disorders and Syndromes (3 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Hematology (153 citations), Genetics (94 citations) and Rheumatology (53 citations). Fumiaki Urase has collaborated with scholars based in Japan and United States. Frequent co-authors include Shosaku� Nomura, Norihito Inami, Akira Shouzu, Yasuhiro Maeda, Seitarou Omoto, Yasuhiro Maeda, Yutaka Kimura, Toshiji Iwasaka, Tetsuya Ueba and Nobuyuki Takahashi. Their work appears in journals such as Clinical Pharmacology & Therapeutics, British Journal of Haematology and Thrombosis and Haemostasis.
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.