Junjiang Sun

1.3k citations
41 papers · 1.1k · h-index 18

Impact in

  • Hematology top 5%
    • Hemophilia Treatment and Research
    • Blood Coagulation and Thrombosis Mechanisms
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 7
    • RNA Interference and Gene Delivery 5
    • Cancer-related gene regulation 3
    • Hemophilia Treatment and Research 18
    • Blood Coagulation and Thrombosis Mechanisms 8
    • Platelet Disorders and Treatments 6

Junjiang Sun

40 papers receiving 1.0k citations

Peers

Junjiang Sun
Comparison fields: 5 of 78
  • Hematology 244
  • Genetics 633
  • Oncology 222
  • Molecular Biology 571
  • Genetics 72
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Citations per year

Countries citing papers authored by Junjiang Sun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Junjiang Sun Line = papers co-authored together Junjiang Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007132
2 2010103
3 201492
4 201892
5 200965
6 200864
7 201250
8 201646
9 201043
10 201342
11 201639
12 199933
13 202231
14 201827
15
The effect of promoter strength in adenoviral vectors containing herpes simplex virus thymidine kinase on cancer gene therapy in vitro and in vivo.
199727
16 201425
17 201725
18 201920
19 201715
20 202113

About Junjiang Sun

Junjiang Sun is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Genetics, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (18 papers), Hemophilia Treatment and Research (18 papers), CAR-T cell therapy research (12 papers), Blood Coagulation and Thrombosis Mechanisms (8 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Platelet Disorders and Treatments (6 papers), RNA Interference and Gene Delivery (5 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Hematology (244 citations), Genetics (633 citations), Oncology (222 citations), Molecular Biology (571 citations) and Genetics (72 citations). Junjiang Sun has collaborated with scholars based in United States, China and France. Frequent co-authors include R. Jude Samulski, Paul E. Monahan, 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, Journal of Thrombosis and Haemostasis, Molecular Therapy 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.

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