Junjiang Sun
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Hematology top 5%
- Hemophilia Treatment and Research
- Blood Coagulation and Thrombosis Mechanisms
Papers in ⓘ
- Hematology 18
- Hemophilia Treatment and Research 18
- Blood Coagulation and Thrombosis Mechanisms 9
- Platelet Disorders and Treatments 7
- Genetics 20
- Virus-based gene therapy research 20
- Co-authors
- Paul E. Monahan (18 shared papers)R. Jude Samulski (11 shared papers)Chengwen Li (12 shared papers)Matthew L. Hirsch (3 shared papers)Zhijian Wu (2 shared papers)Terry Van Dyke (3 shared papers)Fang Yin (1 shared paper)Taiping Zhang (1 shared paper)
- Journals
- Human Gene Therapy (5 papers)Blood (4 papers)Molecular Therapy (2 papers)Frontiers in Immunology (2 papers)Haemophilia (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Junjiang Sun
39 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 78
- Genetics 617
- Hematology 239
- Genetics 91
- Molecular Biology 583
- Oncology 229
Countries citing papers authored by Junjiang Sun
This map shows the geographic impact of Junjiang Sun'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 Junjiang Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjiang Sun more than expected).
Fields of papers citing papers by Junjiang Sun
This network shows the impact of papers produced by Junjiang Sun. 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 Junjiang Sun. The network helps show where Junjiang Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjiang Sun, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 129 | |
| 2 | 2010 | 98 | |
| 3 | 2018 | 89 | |
| 4 | 2014 | 86 | |
| 5 | 2009 | 62 | |
| 6 | 2008 | 61 | |
| 7 | 2012 | 47 | |
| 8 | 2016 | 43 | |
| 9 | 2010 | 41 | |
| 10 | 2013 | 41 | |
| 11 | 2016 | 37 | |
| 12 | 1999 | 33 | |
| 13 | 2022 | 29 | |
| 14 | 2018 | 27 | |
| 15 | The effect of promoter strength in adenoviral vectors containing herpes simplex virus thymidine kinase on cancer gene therapy in vitro and in vivo. | 1997 | 26 |
| 16 | 2017 | 24 | |
| 17 | 2014 | 24 | |
| 18 | 2019 | 20 | |
| 19 | 2017 | 15 | |
| 20 | 2021 | 13 |
About Junjiang Sun
Junjiang Sun is a scholar working on Hematology, Genetics, Oncology, Genetics and Toxicology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (20 papers), Hemophilia Treatment and Research (18 papers), CAR-T cell therapy research (13 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), Platelet Disorders and Treatments (7 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), RNA Interference and Gene Delivery (5 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Genetics (617 citations), Hematology (239 citations), Genetics (91 citations), Molecular Biology (583 citations) and Oncology (229 citations). Junjiang Sun has collaborated with scholars based in United States, China and France. Frequent co-authors include Paul E. Monahan, R. Jude Samulski, Chengwen Li, Matthew L. Hirsch, Zhijian Wu, Terry Van Dyke, Fang Yin, Taiping Zhang, Chaoying Yin and Tal Kafri. Their work appears in journals such as Human Gene Therapy, Blood, Molecular Therapy, Frontiers in Immunology and Haemophilia.
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.