Natsuko Hada
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Liver Disease and Transplantation
- Liver Diseases and Immunity
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
- Genetics 3
- Genetic Mapping and Diversity in Plants and Animals 3
- Genetic and phenotypic traits in livestock 2
-
- Hepatitis C virus research 1
- Co-authors
- Masayuki Sudoh (3 shared papers)Akiko Uno (1 shared paper)Yoshiyuki Sakamaki (1 shared paper)Masahiko Matsumoto (1 shared paper)Chiaki Tanaka (1 shared paper)Tsuneo Ito (1 shared paper)Asao Katsume (2 shared papers)Hideyuki Konishi (1 shared paper)
- Journals
- Journal of Lipid Research (1 paper)International Journal of Experimental Pathology (1 paper)Scientific Reports (1 paper)Pharmacology Research & Perspectives (1 paper)Physiological Genomics (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Natsuko Hada
6 papers receiving 410 citations
Peers
Comparison fields: 5 of 56
- Hepatology 128
- Epidemiology 301
- Endocrinology, Diabetes and Metabolism 105
- Cell Biology 54
- Biochemistry 21
Countries citing papers authored by Natsuko Hada
This map shows the geographic impact of Natsuko Hada'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 Natsuko Hada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natsuko Hada more than expected).
Fields of papers citing papers by Natsuko Hada
This network shows the impact of papers produced by Natsuko Hada. 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 Natsuko Hada. The network helps show where Natsuko Hada may publish in the future.
Co-authors
The 25 scholars most cited alongside Natsuko Hada, 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 | 2013 | 361 | |
| 2 | 2012 | 39 | |
| 3 | 2010 | 7 | |
| 4 | 2008 | 7 | |
| 5 | 2023 | 4 | |
| 6 | 2009 | 1 |
About Natsuko Hada
Natsuko Hada is a scholar working on Genetics, Hepatology, Molecular Biology, Epidemiology and Biochemistry, having authored 6 papers that have together received 419 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic and phenotypic traits in livestock (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Lipid metabolism and biosynthesis (2 papers), interferon and immune responses (1 paper), Pancreatic function and diabetes (1 paper), Systemic Lupus Erythematosus Research (1 paper) and Hepatitis C virus research (1 paper). The work is most often cited by research in Hepatology (128 citations), Epidemiology (301 citations), Endocrinology, Diabetes and Metabolism (105 citations), Cell Biology (54 citations) and Biochemistry (21 citations). Natsuko Hada has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Masayuki Sudoh, Akiko Uno, Yoshiyuki Sakamaki, Masahiko Matsumoto, Chiaki Tanaka, Tsuneo Ito, Asao Katsume, Hideyuki Konishi, Nobuo Shimma and Michinori Kohara. Their work appears in journals such as Journal of Lipid Research, International Journal of Experimental Pathology, Scientific Reports, Pharmacology Research & Perspectives and Physiological Genomics.
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.