Jun Ouyang

1.4k citations
37 papers · 1.1k · h-index 17

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

Jun Ouyang

35 papers receiving 1.1k citations

Peers

Jun Ouyang
Comparison fields: 5 of 87
  • Virology 284
  • Immunology 327
  • Radiology, Nuclear Medicine and Imaging 310
  • Oncology 226
  • Molecular Biology 581
Replace Hengyu Xu with:
Hengyu Xu United States
Corinne Rommens France
Bernard Bayard France
Russell K. Young United States
Xueji Wu China
Fernando Garcés United States
Fabrice Cerini Switzerland
Gert Hausdorf Germany
Åsa Frostell United Kingdom
Thorsten Nowak United Kingdom
Jun Ouyang relative to Hengyu Xu United States Hengyu Xu's profile →
Citations per field
00.5×1.6×
Hengyu Xu · 1×
Citations per year

Countries citing papers authored by Jun Ouyang

Since Specialization
Citations

This map shows the geographic impact of Jun Ouyang'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 Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ouyang more than expected).

Fields of papers citing papers by Jun Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Ouyang. 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 Ouyang. The network helps show where Jun Ouyang may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun Ouyang, 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 Jun Ouyang Line = papers co-authored together Jun Ouyang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996333
2 201069
3 201367
4 199964
5 201364
6 202161
7 201260
8 201160
9 200147
10 200436
11 202032
12 200931
13 199528
14 201022
15 201620
16 202219
17 200917
18
Ovarian germ cell tumors in children: a 20-year retrospective study in a single institution.
201114
19
The lncRNA XIST regulates the tumorigenicity of renal cell carcinoma cells via the miR-302c/SDC1 axis.
201714
20 200712

About Jun Ouyang

Jun Ouyang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Surgery and Oncology, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Protein purification and stability (7 papers), Enzyme Structure and Function (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), RNA modifications and cancer (4 papers), Immune Cell Function and Interaction (3 papers), HER2/EGFR in Cancer Research (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Virology (284 citations), Immunology (327 citations), Radiology, Nuclear Medicine and Imaging (310 citations), Oncology (226 citations) and Molecular Biology (581 citations). Jun Ouyang has collaborated with scholars based in China, United States and Slovenia. Frequent co-authors include Dimiter S. Dimitrov, Bhaskar Chandrasekhar, Hana Golding, Nga Y. Nguyen, Cheryl Lapham, Mary D.H. Nguyen, Gitay Kryger, Sheng Yin, Dagmar Ringe and Yongjian Wu. Their work appears in journals such as mAbs, Biotechnology and Bioengineering, Biochemistry, Journal of Molecular Biology and Analytical Chemistry.

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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