Norio Iizuka
- Molecular Biology top 5%
- Cancer Research top 2%
- Oncology top 5%
- Hepatology top 2%
- Epidemiology top 10%
- Co-authors
- Masaaki OkaTakao TamesaAkira TangokuYoshihiko HamamotoTakanobu MiyamotoHisafumi Yamada‐OkabeKiwamu OkitaShunji Uchimura
- Topics
- Plant Virus Research Studies (17 papers)RNA modifications and cancer (10 papers)Gene expression and cancer classification (10 papers)
- Cited by
- HepatologyCancer ResearchOncology
- Journals
- The LancetCancer ResearchOncogene
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Norio Iizuka
96 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.5k
- Cancer Research 769
- Oncology 605
- Hepatology 506
- Epidemiology 431
Countries citing papers authored by Norio Iizuka
This map shows the geographic impact of Norio 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 Norio Iizuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norio Iizuka more than expected).
Fields of papers citing papers by Norio Iizuka
This network shows the impact of papers produced by Norio 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 Norio Iizuka. The network helps show where Norio Iizuka may publish in the future.
Co-authorship network of co-authors of Norio Iizuka
This figure shows the co-authorship network connecting the top 25 collaborators of Norio Iizuka. A scholar is included among the top collaborators of Norio 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 Norio Iizuka. Norio 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 | 69 | |
| 2 | 5 | |
| 3 | 36 | |
| 4 | 17 | |
| 5 | 11 | |
| 6 | 61 | |
| 7 | 123 | |
| 8 | 38 | |
| 9 | Effect of a hot water extract of Agaricus blazei fruiting bodies(CJ-01) on the intracellular cytokines level in a patient with bronchitis | 5 |
| 10 | 13 | |
| 11 | 56 | |
| 12 | 22 | |
| 13 | 60 | |
| 14 | 11 | |
| 15 | 10 | |
| 16 | Occurrence of a Strain of Bean Rugose Mosaic Virus on Soybean(Glycine max) in Central Brazil | 0 |
| 17 | 4 | |
| 18 | Peanut Chlorotic Ring Mottle, a Potyvirus Occurring Widely on Peanut in Southeast Asian Countries | 1 |
| 19 | Occurrence of tomato spotted wilt virus on tomato in Andhra Pradesh. | 6 |
| 20 | The occurrence of peanut mottle virus in India. | 10 |
About Norio Iizuka
Norio Iizuka is a scholar working on Hepatology, Cancer Research and Endocrinology, having authored 100 papers that have together received 3.0k indexed citations. Recurring topics across this work include Plant Virus Research Studies (17 papers), RNA modifications and cancer (10 papers) and Gene expression and cancer classification (10 papers). The work is most often cited by research in Hepatology (506 citations), Cancer Research (769 citations) and Oncology (605 citations). Norio Iizuka has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Masaaki Oka, Takao Tamesa, Akira Tangoku, Yoshihiko Hamamoto, Takanobu Miyamoto, Hisafumi Yamada‐Okabe, Kiwamu Okita, Shunji Uchimura, Yasuhiro Kuramitsu and Motonari Takashima. Their work appears in journals such as The Lancet, Cancer Research and Oncogene.
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.