Ji Su
Impact in
- Parasitology top 1%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
- Epidemiology top 10%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
- Autophagy in Disease and Therapy
Papers in
- Epidemiology 13
- Cytomegalovirus and herpesvirus research 10
- Autophagy in Disease and Therapy 7
- Herpesvirus Infections and Treatments 2
- Parasitology 12
- Toxoplasma gondii Research Studies 12
- Co-authors
- Masahiro Yamamoto (17 shared papers)Miwa Sasai (15 shared papers)Youngae Lee (13 shared papers)Hironori Bando (10 shared papers)Kiyoshi Takeda (5 shared papers)Jun Ohshima (4 shared papers)Ariel Pradipta (10 shared papers)Tatsuya Saitoh (3 shared papers)
- Journals
- The Journal of Experimental Medicine (4 papers)Frontiers in Immunology (2 papers)Life Science Alliance (2 papers)Proceedings of the National Academy of Sciences (2 papers)Frontiers in Cellular and Infection Microbiology (1 paper)
- Partner nations
- JapanSouth KoreaChina
In The Last Decade
Ji Su
20 papers receiving 811 citations
Peers
Comparison fields: 5 of 88
- Parasitology 442
- Epidemiology 431
- Immunology 229
- Virology 33
- Physiology 24
Countries citing papers authored by Ji Su
This map shows the geographic impact of Ji Su'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 Ji Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Su more than expected).
Fields of papers citing papers by Ji Su
This network shows the impact of papers produced by Ji Su. 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 Ji Su. The network helps show where Ji Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Su, 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 | 2011 | 101 | |
| 2 | 2010 | 96 | |
| 3 | 2014 | 96 | |
| 4 | 2014 | 90 | |
| 5 | 2012 | 86 | |
| 6 | 2017 | 73 | |
| 7 | 2015 | 53 | |
| 8 | 2018 | 37 | |
| 9 | 2018 | 32 | |
| 10 | 2019 | 24 | |
| 11 | 2015 | 22 | |
| 12 | 2019 | 19 | |
| 13 | 2020 | 18 | |
| 14 | 2019 | 17 | |
| 15 | 2019 | 14 | |
| 16 | 2019 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2021 | 9 | |
| 19 | 2021 | 6 | |
| 20 | 2016 | 6 |
About Ji Su
Ji Su is a scholar working on Epidemiology, Parasitology, Immunology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 822 indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (12 papers), Cytomegalovirus and herpesvirus research (10 papers), Autophagy in Disease and Therapy (7 papers), Immune Cell Function and Interaction (3 papers), Herpesvirus Infections and Treatments (2 papers), Mosquito-borne diseases and control (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Parasitology (442 citations), Epidemiology (431 citations), Immunology (229 citations), Virology (33 citations) and Physiology (24 citations). Ji Su has collaborated with scholars based in Japan, South Korea and China. Frequent co-authors include Masahiro Yamamoto, Miwa Sasai, Youngae Lee, Hironori Bando, Kiyoshi Takeda, Jun Ohshima, Ariel Pradipta, Tatsuya Saitoh, Shizuo Akira and Yoshiharu Matsuura. Their work appears in journals such as The Journal of Experimental Medicine, Frontiers in Immunology, Life Science Alliance, Proceedings of the National Academy of Sciences and Frontiers in Cellular and Infection Microbiology.
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.