Qing Wen

1.3k total citations
41 papers, 926 citations indexed

About

Qing Wen is a scholar working on Molecular Biology, Ophthalmology and Organic Chemistry. According to data from OpenAlex, Qing Wen has authored 41 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Ophthalmology and 6 papers in Organic Chemistry. Recurrent topics in Qing Wen's work include Computational Drug Discovery Methods (5 papers), Retinal Diseases and Treatments (4 papers) and Bioinformatics and Genomic Networks (4 papers). Qing Wen is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Retinal Diseases and Treatments (4 papers) and Bioinformatics and Genomic Networks (4 papers). Qing Wen collaborates with scholars based in China, United Kingdom and Macao. Qing Wen's co-authors include Shudong Zhang, Hang Fai Kwok, Hai‐Liang Zhu, Cian M. McCrudden, Hiu‐Fung Yuen, Hiu Fung Yuen, Jian Sun, Xi Li, Tingting Zhao and Xianhui Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Qing Wen

37 papers receiving 909 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Wen China 19 479 179 162 133 89 41 926
Li-Yuan Bai Taiwan 17 466 1.0× 82 0.5× 150 0.9× 99 0.7× 109 1.2× 42 869
Ana Mitrović Slovenia 15 340 0.7× 150 0.8× 216 1.3× 186 1.4× 58 0.7× 42 837
Aintzane Asumendi Spain 22 723 1.5× 46 0.3× 259 1.6× 144 1.1× 112 1.3× 47 1.2k
Mohammad Sarwar Jamal Saudi Arabia 19 467 1.0× 71 0.4× 203 1.3× 136 1.0× 67 0.8× 37 992
Yumiko Wada Japan 16 695 1.5× 83 0.5× 220 1.4× 119 0.9× 84 0.9× 59 1.3k
Shuang Cao China 19 573 1.2× 68 0.4× 169 1.0× 289 2.2× 96 1.1× 59 1.1k
Yousef A. Fouad Egypt 10 429 0.9× 37 0.2× 193 1.2× 183 1.4× 83 0.9× 43 991
Matthijs J. van Haren Netherlands 19 506 1.1× 100 0.6× 147 0.9× 41 0.3× 117 1.3× 31 856
Jason D. Katz United States 12 946 2.0× 335 1.9× 213 1.3× 136 1.0× 131 1.5× 23 1.9k
Kwang‐Hoe Chung South Korea 20 433 0.9× 116 0.6× 87 0.5× 77 0.6× 21 0.2× 36 963

Countries citing papers authored by Qing Wen

Since Specialization
Citations

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

Fields of papers citing papers by Qing Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Wen. A scholar is included among the top collaborators of Qing Wen 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 Qing Wen. Qing Wen 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.
2.
3.
Zhao, Chen, et al.. (2025). Ginkgolide B alleviates dry eye in a Sjögren syndrome mouse model. 6(4). 200248–200248.
4.
Wen, Qing, Maohua Huang, Jingwen Xie, et al.. (2023). lncRNA SYTL5-OT4 promotes vessel co-option by inhibiting the autophagic degradation of ASCT2. Drug Resistance Updates. 69. 100975–100975. 9 indexed citations
5.
Quinn, Nicola, Alyson Muldrew, Una Graham, et al.. (2021). Diabetic Retinopathy Screening Programme: Attendance, Barriers and Enablers amongst Young People with Diabetes Mellitus Aged 12–26 Years. SHILAP Revista de lepidopterología. 1(3). 154–162. 4 indexed citations
6.
Li, Zheng‐Xiang, Minfeng Chen, Jun Tang, et al.. (2021). Targeting FAPα-expressing tumor-associated mesenchymal stromal cells inhibits triple-negative breast cancer pulmonary metastasis. Cancer Letters. 503. 32–42. 19 indexed citations
7.
Wen, Qing, et al.. (2021). The impact of distance cataract surgical wet laboratory training on cataract surgical competency of ophthalmology residents. BMC Medical Education. 21(1). 219–219. 8 indexed citations
8.
Zhou, Feng, Kai Zhang, Zhiwei Cai, et al.. (2021). [Study on time-toxicity relationship and mechanism of Gardeniae Fructus extract on hepatoxicity in rats based on proteomics].. China Journal of Chinese Materia Medica. 46(1). 162–170. 2 indexed citations
9.
Congdon, Nathan, Parikshit Gogate, Catherine Jan, et al.. (2018). Provision of Near Glasses Improves Productivity in Indian Tea Pickers: PROSPER Randomized Trial. Investigative Ophthalmology & Visual Science. 59(9). 1601–1601.
10.
Liu, Yanping, et al.. (2018). Novel γ-lactone derivatives from Trigonostemon heterophyllus with their potential antiproliferative activities. Bioorganic Chemistry. 79. 107–110. 20 indexed citations
11.
Wei, Ran, Peng Lyu, Shudong Zhang, et al.. (2017). Clinical and in vitro analysis of Osteopontin as a prognostic indicator and unveil its potential downstream targets in bladder cancer. International Journal of Biological Sciences. 13(11). 1373–1386. 24 indexed citations
12.
Zhang, Jiali, Henrique Neves, Shudong Zhang, et al.. (2017). The prognostic significance of DAPK1 in bladder cancer. PLoS ONE. 12(4). e0175290–e0175290. 20 indexed citations
13.
Chen, Jinyu, Libin Guo, Chenyi Wang, et al.. (2017). β-defensin 1 expression in HCV infected liver/liver cancer: an important role in protecting HCV progression and liver cancer development. Scientific Reports. 7(1). 13404–13404. 21 indexed citations
14.
Tołoczko, Aleksandra, Fusheng Guo, Hiu‐Fung Yuen, et al.. (2017). Deubiquitinating Enzyme USP9X Suppresses Tumor Growth via LATS Kinase and Core Components of the Hippo Pathway. Cancer Research. 77(18). 4921–4933. 66 indexed citations
15.
Mahadevappa, Ravikiran, Henrique Neves, Yuchen Bai, et al.. (2017). The prognostic significance of Cdc6 and Cdt1 in breast cancer. Scientific Reports. 7(1). 985–985. 67 indexed citations
16.
Song, Yan, Changliang Peng, Shasha Lv, et al.. (2017). Adipose-derived stem cells ameliorate renal interstitial fibrosis through inhibition of EMT and inflammatory response via TGF-β1 signaling pathway. International Immunopharmacology. 44. 115–122. 38 indexed citations
17.
O’Reilly, Paul G., Qing Wen, Peter Bankhead, et al.. (2016). QUADrATiC: scalable gene expression connectivity mapping for repurposing FDA-approved therapeutics. BMC Bioinformatics. 17(1). 198–198. 25 indexed citations
18.
Wen, Qing, Paul G. O’Reilly, Philip D. Dunne, et al.. (2015). Connectivity mapping using a combined gene signature from multiple colorectal cancer datasets identified candidate drugs including existing chemotherapies. BMC Systems Biology. 9(S5). S4–S4. 27 indexed citations
19.
Kwok, Hang Fai, Libin Guo, Shudong Zhang, et al.. (2015). The prognostic significance of protein tyrosine phosphatase 4A2 in breast cancer. OncoTargets and Therapy. 8. 1707–1707. 12 indexed citations
20.
Yang, Xianhui, Qing Wen, Tingting Zhao, et al.. (2012). Synthesis, biological evaluation, and molecular docking studies of cinnamic acyl 1,3,4-thiadiazole amide derivatives as novel antitubulin agents. Bioorganic & Medicinal Chemistry. 20(3). 1181–1187. 81 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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