Eiichi Oeda
Impact in
- Molecular Biology top 10%
- TGF-β signaling in diseases
- Cancer-related gene regulation
- Kruppel-like factors research
- Bone Metabolism and Diseases
- Connective Tissue Growth Factor Research
- Congenital heart defects research
- Renal and related cancers
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- Pancreatic and Hepatic Oncology Research
Papers in
-
- TGF-β signaling in diseases 4
- Signaling Pathways in Disease 1
- Oncology 4
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Masahiro Kawabata (4 shared papers)Kohei Miyazono (4 shared papers)Masao Takase (2 shared papers)Jun‐ichi Hanai (2 shared papers)Takeshi Imamura (2 shared papers)Ayako Nishihara (2 shared papers)Hirofumi Inoue (4 shared papers)Masao Saitoh (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Stem Cells (1 paper)Annals of the New York Academy of Sciences (1 paper)Nature (1 paper)Internal Medicine (3 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Eiichi Oeda
9 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Molecular Biology 899
- Oncology 212
- Immunology and Allergy 37
- Rheumatology 81
- Cancer Research 77
Countries citing papers authored by Eiichi Oeda
This map shows the geographic impact of Eiichi Oeda'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 Eiichi Oeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiichi Oeda more than expected).
Fields of papers citing papers by Eiichi Oeda
This network shows the impact of papers produced by Eiichi Oeda. 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 Eiichi Oeda. The network helps show where Eiichi Oeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Eiichi Oeda, 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 | Smad6 inhibits signalling by the TGF-β superfamily Hit paper breakdown → | 1997 | 869 |
| 2 | 1996 | 72 | |
| 3 | 1999 | 41 | |
| 4 | 1998 | 33 | |
| 5 | 1994 | 29 | |
| 6 | 1994 | 7 | |
| 7 | [Thoracic aortic aneurysm with chronic disseminated intravascular coagulation treated successfully with orally administered camostat mesilate, warfarin and aspirin]. | 2002 | 7 |
| 8 | 1993 | 4 | |
| 9 | 1995 | 4 |
About Eiichi Oeda
Eiichi Oeda is a scholar working on Molecular Biology, Oncology, Hematology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Acute Myeloid Leukemia Research (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Signaling Pathways in Disease (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Genetic factors in colorectal cancer (1 paper) and Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper). The work is most often cited by research in Molecular Biology (899 citations), Oncology (212 citations), Immunology and Allergy (37 citations), Rheumatology (81 citations) and Cancer Research (77 citations). Eiichi Oeda has collaborated with scholars based in Japan and United States. Frequent co-authors include Masahiro Kawabata, Kohei Miyazono, Masao Takase, Jun‐ichi Hanai, Takeshi Imamura, Ayako Nishihara, Hirofumi Inoue, Masao Saitoh, Harold L. Moses and Hidenori Ichijo. Their work appears in journals such as Journal of Biological Chemistry, Stem Cells, Annals of the New York Academy of Sciences, Nature and Internal Medicine.
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.