Jun Ito
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Hepatology top 10%
- Hepatitis C virus research
Papers in
- Hepatology 12
- Hepatitis C virus research 5
- Hepatocellular Carcinoma Treatment and Prognosis 3
- Epidemiology 10
- Hepatitis B Virus Studies 3
- Co-authors
- Kazuhisa Takahashi (23 shared papers)Norihiro Harada (19 shared papers)Ryo Atsuta (12 shared papers)Sonoko Harada (14 shared papers)Scott Bringans (4 shared papers)Timothy M. E. Davis (3 shared papers)Wendy A. Davis (3 shared papers)Richard Lipscombe (4 shared papers)
- Journals
- Hepatology Research (3 papers)Biomolecules (3 papers)Allergology International (3 papers)Experimental Lung Research (2 papers)Journal of Nuclear Science and Technology (2 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Jun Ito
87 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 125
- Nephrology 98
- Hepatology 97
- Immunology and Allergy 49
- Radiation 57
- Immunology 124
Countries citing papers authored by Jun Ito
This map shows the geographic impact of Jun Ito'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 Jun Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ito more than expected).
Fields of papers citing papers by Jun Ito
This network shows the impact of papers produced by Jun Ito. 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 Jun Ito. The network helps show where Jun Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 60 | |
| 2 | 2015 | 59 | |
| 3 | 2015 | 58 | |
| 4 | 2015 | 54 | |
| 5 | 2017 | 40 | |
| 6 | 2023 | 39 | |
| 7 | NRAMP1/SLC11A1 gene polymorphisms and host susceptibility to Mycobacterium tuberculosis and M. leprae in South Sulawesi, Indonesia. | 2010 | 35 |
| 8 | 2004 | 33 | |
| 9 | 2017 | 31 | |
| 10 | 2005 | 31 | |
| 11 | 2017 | 29 | |
| 12 | 2014 | 28 | |
| 13 | 2016 | 27 | |
| 14 | 2016 | 26 | |
| 15 | 2013 | 23 | |
| 16 | 2018 | 23 | |
| 17 | 2011 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 2008 | 20 | |
| 20 | 2017 | 19 |
About Jun Ito
Jun Ito is a scholar working on Hepatology, Epidemiology, Nephrology, Oncology and Immunology, having authored 97 papers that have together received 1.1k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (7 papers), Chronic Kidney Disease and Diabetes (6 papers), Hepatitis C virus research (5 papers), Nuclear Physics and Applications (4 papers), Allergic Rhinitis and Sensitization (4 papers), Hepatitis B Virus Studies (3 papers), Radiation Detection and Scintillator Technologies (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Nephrology (98 citations), Hepatology (97 citations), Immunology and Allergy (49 citations), Radiation (57 citations) and Immunology (124 citations). Jun Ito has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Kazuhisa Takahashi, Norihiro Harada, Ryo Atsuta, Sonoko Harada, Scott Bringans, Timothy M. E. Davis, Wendy A. Davis, Richard Lipscombe, Kirsten E. Peters and Hiroyuki Toda. Their work appears in journals such as Hepatology Research, Biomolecules, Allergology International, Experimental Lung Research and Journal of Nuclear Science and Technology.
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.