Seigo Hatada
Impact in
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- Liver physiology and pathology
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- RNA Interference and Gene Delivery
Papers in
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- Pluripotent Stem Cells Research 7
- CRISPR and Genetic Engineering 5
- Developmental Biology and Gene Regulation 3
- Renal and related cancers 2
- Genetics 7
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Co-authors
- Oliver Smithies (9 shared papers)Nobuyo Maeda (4 shared papers)Makoto Noda (3 shared papers)Jeffrey H. Fair (4 shared papers)Makoto Asashima (3 shared papers)Makoto Kinoshita (3 shared papers)Anthony A. Meyer (2 shared papers)Larysa Pevny (2 shared papers)
- Journals
- Gene (3 papers)Proceedings of the National Academy of Sciences (3 papers)British Journal of Haematology (1 paper)FEBS Letters (1 paper)Surgery (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Seigo Hatada
18 papers receiving 360 citations
Peers
Comparison fields: 5 of 63
- Hepatology 38
- Molecular Biology 282
- Genetics 76
- Aging 3
- Physiology 7
Countries citing papers authored by Seigo Hatada
This map shows the geographic impact of Seigo Hatada'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 Seigo Hatada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seigo Hatada more than expected).
Fields of papers citing papers by Seigo Hatada
This network shows the impact of papers produced by Seigo Hatada. 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 Seigo Hatada. The network helps show where Seigo Hatada may publish in the future.
Co-authors
The 25 scholars most cited alongside Seigo Hatada, 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 | 2003 | 47 | |
| 2 | 2004 | 45 | |
| 3 | 2004 | 43 | |
| 4 | 2000 | 36 | |
| 5 | 2005 | 36 | |
| 6 | 1999 | 25 | |
| 7 | 1994 | 24 | |
| 8 | 1997 | 23 | |
| 9 | 2002 | 20 | |
| 10 | 2003 | 16 | |
| 11 | 2015 | 13 | |
| 12 | 2005 | 10 | |
| 13 | 2004 | 9 | |
| 14 | 2011 | 9 | |
| 15 | 1997 | 6 | |
| 16 | 2011 | 5 | |
| 17 | 2007 | 3 | |
| 18 | 2010 | 1 | |
| 19 | 2021 | 0 |
About Seigo Hatada
Seigo Hatada is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Epidemiology, having authored 19 papers that have together received 371 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (5 papers), Developmental Biology and Gene Regulation (3 papers), Pancreatic function and diabetes (2 papers), Renal and related cancers (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Hepatology (38 citations), Molecular Biology (282 citations), Genetics (76 citations), Aging (3 citations) and Physiology (7 citations). Seigo Hatada has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Oliver Smithies, Nobuyo Maeda, Makoto Noda, Jeffrey H. Fair, Makoto Asashima, Makoto Kinoshita, Anthony A. Meyer, Larysa Pevny, Bruce A. Cairns and Hyung‐Suk Kim. Their work appears in journals such as Gene, Proceedings of the National Academy of Sciences, British Journal of Haematology, FEBS Letters and Surgery.
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.