Fumiko Itoh
Impact in
- Molecular Biology top 5%
- TGF-β signaling in diseases
- Cancer-related gene regulation
- Kruppel-like factors research
- Connective Tissue Growth Factor Research
- Renal and related cancers
- Congenital heart defects research
- Immunology and Allergy top 5%
Papers in
-
- TGF-β signaling in diseases 24
- Angiogenesis and VEGF in Cancer 11
- Kruppel-like factors research 7
- Congenital heart defects research 6
- Cancer-related gene regulation 6
- Muscle Physiology and Disorders 5
- Connective Tissue Growth Factor Research 5
- Aging 1
- Co-authors
- Susumu ItohPeter ten DijkeMarie‐José GoumansMitsuyasu KatoCarl‐Henrik HeldinTakuya WatanabeKengo SatoNils‐Erik Heldin
- Journals
- Journal of Biological Chemistry (8 papers)Cancer Science (5 papers)The Journal of Biochemistry (3 papers)Blood (2 papers)European Journal of Applied Physiology (2 papers)
- Partner nations
- JapanNetherlandsSweden
In The Last Decade
Fumiko Itoh
55 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 2.2k
- Immunology and Allergy 141
- Oncology 559
- Cancer Research 279
- Cell Biology 246
Countries citing papers authored by Fumiko Itoh
This map shows the geographic impact of Fumiko Itoh'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 Fumiko Itoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumiko Itoh more than expected).
Fields of papers citing papers by Fumiko Itoh
This network shows the impact of papers produced by Fumiko Itoh. 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 Fumiko Itoh. The network helps show where Fumiko Itoh may publish in the future.
Co-authors
The 25 scholars most cited alongside Fumiko Itoh, 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 | 2024 | 7 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 16 | |
| 7 | 2020 | 9 | |
| 8 | 2017 | 18 | |
| 9 | 2015 | 25 | |
| 10 | 2013 | 16 | |
| 11 | 2013 | 71 | |
| 12 | 2010 | 124 | |
| 13 | 2008 | 11 | |
| 14 | 2008 | 19 | |
| 15 | 2006 | 51 | |
| 16 | 2004 | 196 | |
| 17 | 2003 | 168 | |
| 18 | 2002 | 372 | |
| 19 | 2002 | 121 | |
| 20 | 2001 | 148 |
About Fumiko Itoh
Fumiko Itoh is a scholar working on Molecular Biology, Aging, Immunology and Allergy, Oncology and Physiology, having authored 56 papers that have together received 3.0k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (24 papers), Angiogenesis and VEGF in Cancer (11 papers), Kruppel-like factors research (7 papers), Congenital heart defects research (6 papers), Cancer-related gene regulation (6 papers), Muscle Physiology and Disorders (5 papers), Connective Tissue Growth Factor Research (5 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Immunology and Allergy (141 citations), Oncology (559 citations), Cancer Research (279 citations) and Cell Biology (246 citations). Fumiko Itoh has collaborated with scholars based in Japan, Netherlands and Sweden. Frequent co-authors include Susumu Itoh, Peter ten Dijke, Marie‐José Goumans, Mitsuyasu Kato, Carl‐Henrik Heldin, Takuya Watanabe, Kengo Sato, Nils‐Erik Heldin, Annika Hermansson and Maréne Landström. Their work appears in journals such as Journal of Biological Chemistry, Cancer Science, The Journal of Biochemistry, Blood and European Journal of Applied Physiology.
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.