Wen Di

8.9k total citations
230 papers, 6.6k citations indexed

About

Wen Di is a scholar working on Molecular Biology, Immunology and Reproductive Medicine. According to data from OpenAlex, Wen Di has authored 230 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 44 papers in Immunology and 38 papers in Reproductive Medicine. Recurrent topics in Wen Di's work include Reproductive System and Pregnancy (26 papers), Ovarian cancer diagnosis and treatment (22 papers) and Cervical Cancer and HPV Research (18 papers). Wen Di is often cited by papers focused on Reproductive System and Pregnancy (26 papers), Ovarian cancer diagnosis and treatment (22 papers) and Cervical Cancer and HPV Research (18 papers). Wen Di collaborates with scholars based in China, United States and Australia. Wen Di's co-authors include Lihua Qiu, Wenjing Wang, Lan Dai, Xia Yin, Yifeng He, Meiying Zhang, Xiangjun Sun, Liying Gu, Ning Zhang and Aimin Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Wen Di

216 papers receiving 6.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Di China 49 3.3k 1.4k 1.3k 1.3k 679 230 6.6k
Xia Zhao China 40 3.5k 1.1× 1.2k 0.9× 1.5k 1.2× 1.1k 0.9× 576 0.8× 104 7.4k
Ding Ma China 37 2.8k 0.8× 771 0.6× 1.7k 1.4× 1.9k 1.5× 326 0.5× 202 5.7k
Vincenzo Canzonieri Italy 43 2.3k 0.7× 511 0.4× 2.7k 2.2× 1.2k 1.0× 554 0.8× 297 7.1k
Iris Barshack Israel 46 3.3k 1.0× 1.3k 0.9× 1.6k 1.2× 1.6k 1.2× 257 0.4× 258 8.1k
David Chia United States 45 3.7k 1.1× 1.2k 0.9× 1.6k 1.3× 1.6k 1.2× 523 0.8× 146 9.0k
Giuseppe Toffoli Italy 46 3.9k 1.2× 666 0.5× 3.1k 2.4× 1.1k 0.9× 1.0k 1.5× 337 8.8k
Steven de Jong Netherlands 53 5.2k 1.6× 1.3k 0.9× 3.3k 2.6× 1.9k 1.5× 424 0.6× 188 9.1k
Michael V. Seiden United States 49 3.0k 0.9× 1.9k 1.4× 4.1k 3.2× 1.5k 1.2× 369 0.5× 172 8.5k
Thomas Rutherford United States 46 2.9k 0.9× 1.2k 0.9× 2.4k 1.9× 1.4k 1.1× 196 0.3× 195 7.9k
Xuelei Ma China 48 3.7k 1.1× 1.6k 1.2× 3.4k 2.7× 1.7k 1.4× 1.3k 1.9× 313 10.5k

Countries citing papers authored by Wen Di

Since Specialization
Citations

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

Fields of papers citing papers by Wen Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Di

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Di. A scholar is included among the top collaborators of Wen Di 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 Di. Wen Di 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.
Lu, Yun, Ludi Zhang, Yu Feng, et al.. (2024). Combined Diagnostic Value of Hsa-miR-592 and Hsa-miR-9-3p in Plasma for Methamphetamine Addicts. International Journal of Molecular Sciences. 25(16). 8952–8952.
2.
Zhao, Ye, Xinyue He, Xiaoyu Liu, et al.. (2024). Postweaning stress affects behavior, brain and gut microbiota of adolescent mice in a sex-dependent manner. Neuropharmacology. 248. 109869–109869. 3 indexed citations
3.
Di, Wen, et al.. (2024). Two-step construction of KPDMS/Al2O3 ultra-barriers for wearable sensors. Dalton Transactions. 53(35). 14656–14664.
4.
Jiang, Meng, et al.. (2023). Erucic acid improves the progress of pregnancy complicated with systemic lupus erythematosus by inhibiting the effector function of CD8+ T cells. SHILAP Revista de lepidopterología. 4(5). e382–e382. 7 indexed citations
5.
Lu, Huaiwu, Ying Zhou, Xiaoran Long, et al.. (2023). Development and external validation of nomograms for predicting individual survival in patients with ovarian clear cell carcinoma. Cancer Medicine. 12(10). 11385–11395. 1 indexed citations
6.
Xiang, Huaijiang, Zhenfeng Zhang, Mei‐Chun Cai, et al.. (2023). Therapeutic targeting of CPSF3-dependent transcriptional termination in ovarian cancer. Science Advances. 9(47). eadj0123–eadj0123. 9 indexed citations
7.
Cheng, Lin, Kaixuan Shi, Yan Cheng, et al.. (2022). Dual Inhibition of CDK12/CDK13 Targets Both Tumor and Immune Cells in Ovarian Cancer. Cancer Research. 82(19). 3588–3602. 25 indexed citations
8.
Long, Xiang‐li, et al.. (2022). Oxidation of 3,7‐dichloro‐8‐(chloromethyl)quinolone to quinclorac by oxygen. Journal of Chemical Technology & Biotechnology. 97(12). 3367–3374. 1 indexed citations
9.
Yin, Xia, Jing Yang, M. Zhang, et al.. (2022). Serum Metabolic Fingerprints on Bowl-Shaped Submicroreactor Chip for Chemotherapy Monitoring. ACS Nano. 16(2). 2852–2865. 62 indexed citations
10.
Chen, Yunyan, Qiong Zhou, Chuan Wang, et al.. (2020). Short-chain fatty acids accompanying changes in the gut microbiome contribute to the development of hypertension in patients with preeclampsia. Clinical Science. 134(2). 289–302. 120 indexed citations
11.
Zhang, Yi, Minhua Yu, Ying Jing, et al.. (2020). Baseline immunity and impact of chemotherapy on immune microenvironment in cervical cancer. British Journal of Cancer. 124(2). 414–424. 50 indexed citations
12.
Hu, Yuan, Huaimin Wang, Chenge Li, et al.. (2020). Enzyme-instructed assembly of a cholesterol conjugate promotes pro-inflammatory macrophages and induces apoptosis of cancer cells. Biomaterials Science. 8(7). 2007–2017. 11 indexed citations
13.
Wang, Yingmei, Shiqian Zhang, Lihui Wei, et al.. (2020). Recommendations on management of gynecological malignancies during the COVID-19 pandemic: perspectives from Chinese gynecological oncologists. Journal of Gynecologic Oncology. 31(4). e68–e68. 13 indexed citations
14.
Zhang, Wei‐Hong, et al.. (2018). Management and outcomes of pregnancy with or without lupus nephritis: a systematic review and meta-analysis. Therapeutics and Clinical Risk Management. Volume 14. 885–901. 38 indexed citations
15.
Zhou, Jinhua, et al.. (2018). ARF-derived peptide sensitizes ovarian cancer cells to Cisplatin. Translational Cancer Research. 7(6). 1614–1623. 1 indexed citations
16.
Cai, Lulu, Zhipeng Gu, Jian Zhong, et al.. (2018). Advances in glycosylation-mediated cancer-targeted drug delivery. Drug Discovery Today. 23(5). 1126–1138. 62 indexed citations
17.
Zhang, Zhenfeng, Huixin Peng, Xiaojie Wang, et al.. (2017). Preclinical Efficacy and Molecular Mechanism of Targeting CDK7-Dependent Transcriptional Addiction in Ovarian Cancer. Molecular Cancer Therapeutics. 16(9). 1739–1750. 58 indexed citations
18.
Yin, Xia, Ying Jing, Mei‐Chun Cai, et al.. (2017). Clonality, Heterogeneity, and Evolution of Synchronous Bilateral Ovarian Cancer. Cancer Research. 77(23). 6551–6561. 23 indexed citations
19.
Wang, Caiyan, Wen Di, Qinping Liao, et al.. (2014). [Efficacy and safety of a combined oral contraceptive containing drospirenone 3 mg and ethinylestradiol 20 µg in a 24+4-day regimen in China].. PubMed. 49(5). 355–9. 2 indexed citations
20.

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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