Jun Xie
- Hepatology top 5%
- Genetics top 2%
- Virus-based gene therapy research 27
- Cancer Research top 5%
- MicroRNA in disease regulation 6
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 14
- CRISPR and Genetic Engineering 14
- Plant Gene Expression Analysis 6
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 8
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- CAR-T cell therapy research 5
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- interferon and immune responses 4
- Co-authors
- Guangping GaoQin SuDan WangPhillip W.L. TaiTerence R. FlotteJae‐Hyuck ShimYeon-Suk YangHongwei Zhang
- Cited by
- HepatologyGeneticsCancer Research
- Journals
- Molecular Therapy — Methods & Clinical Development (8 papers)Human Gene Therapy (7 papers)Nature Communications (5 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Jun Xie
78 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 120
- Hepatology 267
- Genetics 744
- Cancer Research 381
- Molecular Biology 1.4k
- Infectious Diseases 318
Countries citing papers authored by Jun Xie
This map shows the geographic impact of Jun Xie'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 Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xie more than expected).
Fields of papers citing papers by Jun Xie
This network shows the impact of papers produced by Jun Xie. 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 Xie. The network helps show where Jun Xie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Xie, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 17 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 74 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 81 | |
| 11 | 2022 | 24 | |
| 12 | 2022 | 19 | |
| 13 | 2022 | 43 | |
| 14 | 2021 | 12 | |
| 15 | Suprachoroidal Injections of AAV for Retinal Gene Delivery in mouse | 2021 | 1 |
| 16 | 2021 | 11 | |
| 17 | 2019 | 101 | |
| 18 | 2019 | 20 | |
| 19 | Pathogenicity differentiation of Dioscorea opposita Thunb. anthracnose pathogen in southern China. | 2018 | 1 |
| 20 | Comparative studies on lignocellulolytic enzyme production in liquid and solid cultures of white-rot fungi | 2007 | 0 |
About Jun Xie
Jun Xie is a scholar working on Genetics, Molecular Biology and Hepatology, having authored 82 papers that have together received 2.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (27 papers), RNA Interference and Gene Delivery (14 papers), CRISPR and Genetic Engineering (14 papers), Viral gastroenteritis research and epidemiology (8 papers), MicroRNA in disease regulation (6 papers), Plant Gene Expression Analysis (6 papers), CAR-T cell therapy research (5 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Hepatology (267 citations), Genetics (744 citations) and Cancer Research (381 citations). Jun Xie has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Guangping Gao, Qin Su, Dan Wang, Phillip W.L. Tai, Terence R. Flotte, Jae‐Hyuck Shim, Yeon-Suk Yang, Hongwei Zhang, Jung‐Min Kim and Qing Xie. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, Human Gene Therapy, Nature Communications, Molecular Therapy and Nucleic Acids Research.
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.