Ji Young Yoo
- Cancer Research top 2%
- MicroRNA in disease regulation 9
- Genetics top 2%
- Virus-based gene therapy research 39
- Oncology top 5%
- CAR-T cell therapy research 14
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 18
- Circular RNAs in diseases 6
- Immunology top 5%
- Immunotherapy and Immune Responses 7
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- Herpesvirus Infections and Treatments 15
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- Cancer Research and Treatments 6
- Co-authors
- Balveen KaurChae‐Ok YunTae Jin LeeMichael A. CaligiuriJianhua YuJoo-Hang KimCarlo M. CroceFeng Geng
- Cited by
- Cancer ResearchGeneticsOncology
- Journals
- Clinical Cancer Research (9 papers)Molecular Therapy (9 papers)Molecular Therapy — Oncolytics (6 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Ji Young Yoo
93 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 863
- Genetics 1.1k
- Oncology 974
- Molecular Biology 2.1k
- Immunology 600
Countries citing papers authored by Ji Young Yoo
This map shows the geographic impact of Ji Young Yoo'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 Young Yoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Young Yoo more than expected).
Fields of papers citing papers by Ji Young Yoo
This network shows the impact of papers produced by Ji Young Yoo. 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 Young Yoo. The network helps show where Ji Young Yoo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ji Young Yoo, 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 | 2023 | 6 | |
| 2 | 2022 | 50 | |
| 3 | 2021 | 42 | |
| 4 | 2020 | 23 | |
| 5 | 2020 | 12 | |
| 6 | 2020 | 14 | |
| 7 | 2019 | 26 | |
| 8 | 2019 | 27 | |
| 9 | 2017 | 52 | |
| 10 | 2017 | 1 | |
| 11 | 2016 | 244 | |
| 12 | 2016 | 66 | |
| 13 | 2015 | 77 | |
| 14 | 2014 | 64 | |
| 15 | 2014 | 26 | |
| 16 | 2012 | 51 | |
| 17 | 2012 | 34 | |
| 18 | Evaluation of Drought Risk in Gyeongsang-do Using EDI | 2011 | 1 |
| 19 | 2002 | 5 | |
| 20 | Molecular Characterization of a Chinese Cabbage cDNa Encoding Thioredoxin-h that is Predominantly Expressed in Flowers | 2001 | 1 |
About Ji Young Yoo
Ji Young Yoo is a scholar working on Genetics, Cancer Research and Molecular Biology, having authored 94 papers that have together received 3.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (39 papers), RNA Interference and Gene Delivery (18 papers), Herpesvirus Infections and Treatments (15 papers), CAR-T cell therapy research (14 papers), MicroRNA in disease regulation (9 papers), Immunotherapy and Immune Responses (7 papers), Cancer Research and Treatments (6 papers) and Circular RNAs in diseases (6 papers). The work is most often cited by research in Cancer Research (863 citations), Genetics (1.1k citations) and Oncology (974 citations). Ji Young Yoo has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Balveen Kaur, Chae‐Ok Yun, Tae Jin Lee, Michael A. Caligiuri, Jianhua Yu, Joo-Hang Kim, Carlo M. Croce, Feng Geng, Deliang Guo and Alena Cristina Jaime‐Ramirez. Their work appears in journals such as Clinical Cancer Research, Molecular Therapy, Molecular Therapy — Oncolytics, Neuro-Oncology and Human Gene Therapy.
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.