Narushi Iizuka
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Hepatology top 2%
- Epidemiology top 10%
- Infectious Diseases top 5%
- Co-authors
- Akio NomotoMichinori KoharaKyoko Tsukiyama–KoharaPeter SarnowAlex FranzusoffTakashi TodaShusuke KugeKeigo Takeuchi
- Topics
- Viral Infections and Immunology Research (10 papers)RNA and protein synthesis mechanisms (8 papers)RNA Research and Splicing (6 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Narushi Iizuka
21 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.2k
- Cardiology and Cardiovascular Medicine 1.1k
- Hepatology 498
- Epidemiology 399
- Infectious Diseases 385
Countries citing papers authored by Narushi Iizuka
This map shows the geographic impact of Narushi Iizuka'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 Narushi Iizuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narushi Iizuka more than expected).
Fields of papers citing papers by Narushi Iizuka
This network shows the impact of papers produced by Narushi Iizuka. 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 Narushi Iizuka. The network helps show where Narushi Iizuka may publish in the future.
Co-authorship network of co-authors of Narushi Iizuka
This figure shows the co-authorship network connecting the top 25 collaborators of Narushi Iizuka. A scholar is included among the top collaborators of Narushi Iizuka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Narushi Iizuka. Narushi Iizuka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 12 | |
| 3 | 60 | |
| 4 | 13 | |
| 5 | 15 | |
| 6 | 12 | |
| 7 | 139 | |
| 8 | 41 | |
| 9 | 80 | |
| 10 | 41 | |
| 11 | 100 | |
| 12 | 139 | |
| 13 | 246 | |
| 14 | [Screening for thyroid dysfunction in adults residing in Hokkaido Japan: in relation to urinary iodide concentration and thyroid autoantibodies]. | 5 |
| 15 | 3 | |
| 16 | Internal ribosome entry site within hepatitis C virus RNAbreakdown → | 777 |
| 17 | 46 | |
| 18 | 282 | |
| 19 | 17 | |
| 20 | 141 |
About Narushi Iizuka
Narushi Iizuka is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases and Molecular Biology, having authored 21 papers that have together received 2.3k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (10 papers), RNA and protein synthesis mechanisms (8 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Hepatology (498 citations), Cardiology and Cardiovascular Medicine (1.1k citations) and Infectious Diseases (385 citations). Narushi Iizuka has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Akio Nomoto, Michinori Kohara, Kyoko Tsukiyama–Kohara, Peter Sarnow, Alex Franzusoff, Takashi Toda, Shusuke Kuge, Keigo Takeuchi, I Ise and H. Horie. Their work appears in journals such as The EMBO Journal, Journal of Molecular Biology and Molecular and Cellular Biology.
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.