Seiji Fukuda
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders 30
- Hematology top 1%
- Physiology top 1%
- Lysosomal Storage Disorders Research 50
- Rheumatology top 1%
- Glycogen Storage Diseases and Myoclonus 13
- Genetics top 2%
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- Carbohydrate Chemistry and Synthesis 33
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- Trypanosoma species research and implications 29
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- Cell death mechanisms and regulation 16
- Biochemical and Molecular Research 14
- Mitochondrial Function and Pathology 14
- Co-authors
- Louis M. PelusShunji TomatsuKazuko SukegawaSeiji YamaguchiHal E. BroxmeyerTadao OriiHuimin BianHironori Kobayashi
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Seiji Fukuda
188 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 117
- Clinical Biochemistry 576
- Hematology 851
- Physiology 1.5k
- Rheumatology 606
- Genetics 418
Countries citing papers authored by Seiji Fukuda
This map shows the geographic impact of Seiji Fukuda'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 Seiji Fukuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiji Fukuda more than expected).
Fields of papers citing papers by Seiji Fukuda
This network shows the impact of papers produced by Seiji Fukuda. 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 Seiji Fukuda. The network helps show where Seiji Fukuda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seiji Fukuda, 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 | 2020 | 4 | |
| 2 | 2017 | 88 | |
| 3 | Internal Tandem Duplication in FLT3 Attenuates Proliferation and Regulates Resistance to the FLT3 Inhibitor AC220 by Modulating p21Cdkn1a and Pbx1 in Hematopoietic Cells | 2016 | 0 |
| 4 | 2015 | 1 | |
| 5 | 2012 | 1 | |
| 6 | 2012 | 1 | |
| 7 | 2009 | 15 | |
| 8 | 2007 | 2 | |
| 9 | 2006 | 11 | |
| 10 | 2004 | 4 | |
| 11 | 2002 | 13 | |
| 12 | 1998 | 8 | |
| 13 | 1995 | 14 | |
| 14 | [Current status of clinical trials on pre- and postoperative chemotherapy for head and neck cancer]. | 1994 | 1 |
| 15 | 1992 | 1 | |
| 16 | 1990 | 28 | |
| 17 | Hot water turbine for waste heat recovery power generation | 1981 | 0 |
| 18 | 1972 | 2 | |
| 19 | 1971 | 1 | |
| 20 | 1966 | 5 |
About Seiji Fukuda
Seiji Fukuda is a scholar working on Clinical Biochemistry, Physiology, Hematology, Rheumatology and Immunology and Allergy, having authored 197 papers that have together received 5.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (50 papers), Carbohydrate Chemistry and Synthesis (33 papers), Metabolism and Genetic Disorders (30 papers), Trypanosoma species research and implications (29 papers), Cell death mechanisms and regulation (16 papers), Biochemical and Molecular Research (14 papers), Mitochondrial Function and Pathology (14 papers) and Glycogen Storage Diseases and Myoclonus (13 papers). The work is most often cited by research in Clinical Biochemistry (576 citations), Hematology (851 citations), Physiology (1.5k citations), Rheumatology (606 citations) and Genetics (418 citations). Seiji Fukuda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Louis M. Pelus, Shunji Tomatsu, Kazuko Sukegawa, Seiji Yamaguchi, Hal E. Broxmeyer, Tadao Orii, Huimin Bian, Hironori Kobayashi, Nobuyuki Shimozawa and Yuki Hasegawa. Their work appears in journals such as Blood, Human Mutation, Molecular Genetics and Metabolism, Human Molecular Genetics and Journal of Inherited Metabolic Disease.
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.