Xiaoming Ouyang

456 citations
13 papers · 163 · h-index 7

Impact in

    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

    • RNA Interference and Gene Delivery 3
    • Advanced biosensing and bioanalysis techniques 1
    • CAR-T cell therapy research 2
    • Cancer Immunotherapy and Biomarkers 2

Xiaoming Ouyang

13 papers receiving 161 citations

Peers

Xiaoming Ouyang
Comparison fields: 5 of 42
  • Oncology 70
  • Aging 4
  • Immunology 44
  • Molecular Biology 96
  • Cancer Research 14
Replace Maria C. Heinz with:
Maria C. Heinz Netherlands
Hong Ren China
Krishnath M. Jayatilleke Australia
Dasa He China
Ileana Elias United States
Li Lv China
Karina Vázquez-Arreguín United States
Orian Bricard Belgium
J.T. Greene United States
Monika Gothwal Germany
Xiaoming Ouyang relative to Maria C. Heinz Netherlands Maria C. Heinz's profile →
Citations per field
00.5×2.6×
Maria C. Heinz · 1×
Citations per year

Countries citing papers authored by Xiaoming Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202134
2 201933
3 201132
4 201717
5 201810
6 201810
7 20206
8
Hepatitis C virus nonstructural protein NS(3) and telomerase activity.
20026
9 20225
10 20204
11 20252
12 20172
13 20032

About Xiaoming Ouyang

Xiaoming Ouyang is a scholar working on Molecular Biology, Oncology, Immunology, Epidemiology and Neurology, having authored 13 papers that have together received 163 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), RNA Interference and Gene Delivery (3 papers), CAR-T cell therapy research (2 papers), Hepatitis C virus research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Oncology (70 citations), Aging (4 citations), Immunology (44 citations), Molecular Biology (96 citations) and Cancer Research (14 citations). Xiaoming Ouyang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Joseph C. Wu, Melinda L. Telli, Hong-Yi Gao, Tao Zeng, Heng He, Yan Zhang, Pei Yu, Lijuan Deng, Xiaobin Yu and Hui Zheng. Their work appears in journals such as Cancer Biology & Therapy, Immunobiology, Neurological Research, Molecular Case Studies and Frontiers in Immunology.

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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