Wen Ouyang

1.7k total citations · 1 hit paper
49 papers, 1.2k citations indexed

About

Wen Ouyang is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wen Ouyang has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Oncology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wen Ouyang's work include Lung Cancer Treatments and Mutations (8 papers), Natural product bioactivities and synthesis (7 papers) and Lung Cancer Research Studies (6 papers). Wen Ouyang is often cited by papers focused on Lung Cancer Treatments and Mutations (8 papers), Natural product bioactivities and synthesis (7 papers) and Lung Cancer Research Studies (6 papers). Wen Ouyang collaborates with scholars based in China, United States and Hong Kong. Wen Ouyang's co-authors include Conghua Xie, Jing Yu, Melvin L.K. Chua, Bo Yang, Yong Cao, Hang Xiao, Fuxiang Zhou, Mingyue Song, Jun Zhang and Xiaoai Zhu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and The FASEB Journal.

In The Last Decade

Wen Ouyang

45 papers receiving 1.2k citations

Hit Papers

SARS-CoV-2 Transmission i... 2020 2026 2022 2024 2020 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SARS-CoV-2 Transmission in Patients With Cancer at a Tertiary Care Hospital in Wuhan, China
    2020 713 citations Jing Yu, Wen Ouyang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wen Ouyang China 14 754 293 229 202 132 49 1.2k
Darcy A. Hille United States 30 606 0.8× 258 0.9× 319 1.4× 258 1.3× 126 1.0× 61 2.3k
Inna Y. Gong Canada 20 507 0.7× 339 1.2× 109 0.5× 80 0.4× 67 0.5× 51 1.4k
Qiongjing Yuan China 22 151 0.2× 253 0.9× 411 1.8× 187 0.9× 74 0.6× 57 1.4k
Goonaseelan Pillai South Africa 15 256 0.3× 324 1.1× 170 0.7× 55 0.3× 53 0.4× 36 1.0k
Daniel Shepshelovich Israel 20 206 0.3× 108 0.4× 171 0.7× 204 1.0× 59 0.4× 93 1.2k
Jim M. Koeller United States 22 658 0.9× 192 0.7× 304 1.3× 201 1.0× 27 0.2× 80 1.6k
Dawei Wu China 26 681 0.9× 165 0.6× 527 2.3× 491 2.4× 69 0.5× 111 2.1k
Takashi Niwa Japan 17 232 0.3× 222 0.8× 172 0.8× 270 1.3× 372 2.8× 84 1.4k
Seung Hun Jang South Korea 22 367 0.5× 183 0.6× 256 1.1× 872 4.3× 106 0.8× 140 1.6k
Helen Kastrissios United States 19 222 0.3× 301 1.0× 114 0.5× 91 0.5× 37 0.3× 49 1.4k

Countries citing papers authored by Wen Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Wen Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Ouyang

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Ouyang. A scholar is included among the top collaborators of Wen Ouyang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wen Ouyang. Wen Ouyang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Heng, Wei Liu, Zhen Li, et al.. (2025). α-spinasterol isolated from Achyranthes aspera L. ameliorates inflammation via NF-κB and Nrf2/HO-1 pathways. Scientific Reports. 15(1). 5723–5723. 2 indexed citations
2.
Ouyang, Wen, et al.. (2025). Complex morphodynamic processes of a large braided channel in response to different flood flow discharges on the Qinghai-Tibet Plateau. International Journal of Sediment Research. 40(3). 439–453.
3.
4.
Yu, Jing, Kun Yang, Ya‐Jung Cheng, et al.. (2023). [Impact of the depth of remission by induction chemotherapy on the prognosis of limited stage small cell lung cancer].. PubMed. 45(7). 621–626.
5.
Li, Wei, Jinlin Chen, Lequan Yu, et al.. (2021). NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis. Artificial Intelligence in Medicine. 117. 102082–102082. 13 indexed citations
6.
Ouyang, Wen, Jing Yu, Yan Zhou, et al.. (2020). Risk factors of metachronous brain metastasis in patients with EGFR-mutated advanced non-small cell lung cancer. BMC Cancer. 20(1). 699–699. 10 indexed citations
7.
Li, Chunyang, et al.. (2019). Postoperative recurrent pattern and the lymph node metastatic stations of the thoracic esophageal squamous cell carcinoma. Zhonghua fangshe zhongliuxue zazhi. 28(9). 673–676. 1 indexed citations
8.
9.
Zhu, Xiaoai, Wen Ouyang, Jianyin Miao, et al.. (2019). Hepatic transcriptome and proteome analyses provide new insights into the regulator mechanism of dietary avicularin in diabetic mice. Food Research International. 125. 108570–108570. 23 indexed citations
10.
Zhu, Xiaoai, Wen Ouyang, Che Pan, et al.. (2019). Identification of a new benzophenone from Psidium guajava L. leaves and its antineoplastic effects on human colon cancer cells. Food & Function. 10(7). 4189–4198. 26 indexed citations
11.
12.
Xie, Conghua, et al.. (2018). The change in peripheral blood monocyte count: A predictor to make the management of chemotherapy-induced neutropenia. Journal of Cancer Research and Therapeutics. 14(10). 565–565. 13 indexed citations
13.
Yang, Bo, Shiming Zhang, Zhihao Wang, et al.. (2016). Deubiquitinase USP9X deubiquitinates β-catenin and promotes high grade glioma cell growth. Oncotarget. 7(48). 79515–79525. 50 indexed citations
14.
15.
Ouyang, Wen, Xiaoai Zhu, Wei Wang, et al.. (2015). Novel skeleton sesquiterpenoids isolated from guava leaves. Natural Product Research. 30(8). 898–903. 7 indexed citations
16.
Li, Zonghuan, Li Sun, Chunxu Yang, et al.. (2014). Results on efficacy and safety of cancer treatment with or without tumor necrosis factor-related apoptosis-inducing ligand-related agents: A meta-analysis. Molecular and Clinical Oncology. 2(3). 440–448. 5 indexed citations
17.
Yang, Bo, You Wang, Wen Ouyang, et al.. (2012). The Ultrastructural Difference between CD133-positive U251 Glioma Stem Cells and Normal U251 Glioma Cells. Ultrastructural Pathology. 36(6). 404–408. 11 indexed citations
18.
Ouyang, Wen, Chunxu Yang, Simin Zhang, et al.. (2012). Absence of death receptor translocation into lipid rafts in acquired TRAIL-resistant NSCLC cells. International Journal of Oncology. 42(2). 699–711. 21 indexed citations
19.
Yang, Bo, Jianfei Gao, Zhiguo Rao, et al.. (2011). Antisense Oligonucleotide Targeting Matrix Metalloproteinase-7 (MMP-7) Changes the Ultrastructure of Human A549 Lung Adenocarcinoma Cells. Ultrastructural Pathology. 35(6). 256–259. 9 indexed citations
20.
Ouyang, Wen, et al.. (1998). Survey of periwinkle diseases in Taiwan.. Zhíwù bìnglǐxué huìkān. 7(3). 147–149. 2 indexed citations

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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