Jun Ouyang

1.3k citations
36 papers · 1.1k · h-index 16

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

33 papers receiving 1.0k citations

Peers

Jun Ouyang
Comparison fields: 5 of 90
  • Virology 281
  • Immunology 334
  • Radiology, Nuclear Medicine and Imaging 304
  • Molecular Biology 582
  • Oncology 230
Replace Xueji Wu with:
Xueji Wu China
Amartya Basu United States
Suqin He United States
Gessica Filocamo Italy
Bernard Bayard France
Gert Hausdorf Germany
Valeri Metelev Russia
Joke Regts Netherlands
Larissa Belov Australia
Thorsten Nowak United Kingdom
Jun Ouyang relative to Xueji Wu China Xueji Wu's profile →
Citations per field
00.5×4.4×
Xueji Wu · 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996322
2 201365
3 201063
4 199961
5 201158
6 201356
7 202156
8 201256
9 200147
10 200434
11 202030
12 200928
13 199526
14 201021
15 201620
16 202218
17 200915
18
The lncRNA XIST regulates the tumorigenicity of renal cell carcinoma cells via the miR-302c/SDC1 axis.
201714
19 200712
20 201711

About Jun Ouyang

Jun Ouyang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Surgery and Oncology, having authored 36 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), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), Enzyme Structure and Function (5 papers), MicroRNA in disease regulation (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Virology (281 citations), Immunology (334 citations), Radiology, Nuclear Medicine and Imaging (304 citations), Molecular Biology (582 citations) and Oncology (230 citations). Jun Ouyang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hana Golding, Cheryl Lapham, Dimiter S. Dimitrov, Bhaskar Chandrasekhar, Nga Y. Nguyen, Mary D.H. Nguyen, Roberto Viola, Gitay Kryger, Andrea T. Hadfield and Dagmar Ringe. Their work appears in journals such as Biotechnology and Bioengineering, mAbs, Biochemistry, Analytical Chemistry and Journal of Molecular Biology.

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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