Xing Du

2.5k total citations
66 papers, 1.7k citations indexed

About

Xing Du is a scholar working on Molecular Biology, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Xing Du has authored 66 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 39 papers in Cancer Research and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Xing Du's work include Cancer-related molecular mechanisms research (28 papers), MicroRNA in disease regulation (26 papers) and Circular RNAs in diseases (18 papers). Xing Du is often cited by papers focused on Cancer-related molecular mechanisms research (28 papers), MicroRNA in disease regulation (26 papers) and Circular RNAs in diseases (18 papers). Xing Du collaborates with scholars based in China and United States. Xing Du's co-authors include Qifa Li, Zengxiang Pan, Honglin Liu, Qiqi Li, Ira Pastan, Lifan Zhang, Yao Wang, Jiying Liu, Mitchell Ho and Xinyu Li and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Xing Du

61 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xing Du China 23 941 672 481 288 216 66 1.7k
Jodee A. Gould Australia 18 689 0.7× 201 0.3× 744 1.5× 110 0.4× 138 0.6× 31 1.7k
David L. Caudell United States 23 568 0.6× 186 0.3× 247 0.5× 85 0.3× 80 0.4× 66 1.3k
Joanna Wesoły Poland 27 1.0k 1.1× 293 0.4× 941 2.0× 63 0.2× 271 1.3× 67 2.2k
Junji Nishida Japan 24 1.0k 1.1× 151 0.2× 642 1.3× 143 0.5× 167 0.8× 78 2.4k
Kun Song China 19 403 0.4× 180 0.3× 196 0.4× 85 0.3× 57 0.3× 43 978
K L Blanchard United States 8 988 1.0× 243 0.4× 214 0.4× 56 0.2× 265 1.2× 9 1.8k
Ulla M. Sarmiento United States 19 696 0.7× 201 0.3× 1.5k 3.1× 122 0.4× 267 1.2× 27 2.5k
David S. DeLuca Germany 17 1.2k 1.2× 365 0.5× 514 1.1× 40 0.1× 142 0.7× 65 2.0k
Katherine A. Owen United States 17 670 0.7× 546 0.8× 656 1.4× 59 0.2× 138 0.6× 27 2.1k
Athanasios K. Anagnostopoulos Greece 22 562 0.6× 61 0.1× 319 0.7× 101 0.4× 150 0.7× 102 1.8k

Countries citing papers authored by Xing Du

Since Specialization
Citations

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

Fields of papers citing papers by Xing Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Du

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Du. A scholar is included among the top collaborators of Xing Du 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 Xing Du. Xing Du 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, Jinbi, Chao Yin, Li Fan, et al.. (2025). circVEGFA inhibits apoptosis in porcine ovarian granulosa cells by binding to miR-21-3p and up-regulating TMX4 expression. Journal of Ovarian Research. 18(1). 155–155.
2.
Du, Xing, et al.. (2025). miR-1307/BRCA1 axis mediated oxidative stress promotes apoptosis of sow ovarian granulosa cells. Animal Reproduction Science. 279. 107884–107884.
3.
Xu, Zhikai, et al.. (2025). lnc2300 mediates the induction of granulosa cell apoptosis by oxidative stress. SHILAP Revista de lepidopterología. 2(1). 0–0. 1 indexed citations
4.
5.
Zhang, Jiyu, et al.. (2024). A Mutation Losing an RBP‐Binding Site in the LncRNA NORSF Transcript Influences Granulosa Cell Apoptosis and Sow Fertility. Advanced Science. 11(40). e2404747–e2404747. 2 indexed citations
6.
Zhang, Jiyu, et al.. (2024). A variant in long noncoding RNA NORSF affects granulosa cells response to transcription factor RFX7. Journal of Cellular Physiology. 239(11). e31414–e31414.
7.
Wang, Yang, et al.. (2023). Nuclear lncRNA NORSF reduces E2 release in granulosa cells by sponging the endogenous small activating RNA miR-339. BMC Biology. 21(1). 221–221. 7 indexed citations
8.
Wang, Yang, et al.. (2023). MEIS1 Is a Common Transcription Repressor of the miR-23a and NORHA Axis in Granulosa Cells. International Journal of Molecular Sciences. 24(4). 3589–3589. 5 indexed citations
9.
Li, Yuqi, et al.. (2022). A Mutation in Endogenous saRNA miR-23a Influences Granulosa Cells Response to Oxidative Stress. Antioxidants. 11(6). 1174–1174. 8 indexed citations
10.
Du, Xing, et al.. (2022). Two single nucleotide variants in the miR‐23a promoter affect granulosa cell apoptosis. Animal Genetics. 54(2). 207–210. 2 indexed citations
11.
Wang, Yang, et al.. (2022). Lnc2300 is a cis‐acting long noncoding RNA of CYP11A1 in ovarian granulosa cells. Journal of Cellular Physiology. 237(11). 4238–4250. 7 indexed citations
12.
Li, Qiao, et al.. (2020). Upregulation of miR-146b promotes porcine ovarian granulosa cell apoptosis by attenuating CYP19A1. Domestic Animal Endocrinology. 74. 106509–106509. 23 indexed citations
13.
Li, Qiqi, Xing Du, Lingfang Wang, Kerong Shi, & Qifa Li. (2020). TGF-β1 controls porcine granulosa cell states: A miRNA-mRNA network view. Theriogenology. 160. 50–60. 20 indexed citations
14.
Du, Xing, Lingfang Wang, Qiqi Li, et al.. (2020). miR-130a/TGF-β1 axis is involved in sow fertility by controlling granulosa cell apoptosis. Theriogenology. 157. 407–417. 18 indexed citations
15.
Li, Qiqi, et al.. (2019). MiR-126* is a novel functional target of transcription factor SMAD4 in ovarian granulosa cells. Gene. 711. 143953–143953. 9 indexed citations
16.
Yin, Hang, Xing Du, Qiqi Li, et al.. (2019). Variants in BMP7 and BMP15 3’-UTRs Associated with Reproductive Traits in a Large White Pig Population. Animals. 9(11). 905–905. 11 indexed citations
17.
Li, Qiqi, Xing Du, Zengxiang Pan, Lifan Zhang, & Qifa Li. (2018). The transcription factor SMAD4 and miR-10b contribute to E2 release and cell apoptosis in ovarian granulosa cells by targeting CYP19A1. Molecular and Cellular Endocrinology. 476. 84–95. 38 indexed citations
18.
Zhang, Lifan, Xing Du, Shengjuan Wei, Dongfeng Li, & Qifa Li. (2016). A comprehensive transcriptomic view on the role of SMAD4 gene by RNAi-mediated knockdown in porcine follicular granulosa cells. Reproduction. 152(1). 81–89. 25 indexed citations
19.
Du, Xing, Laiman Xiang, Crystal L. Mackall, & Ira Pastan. (2011). Killing of Resistant Cancer Cells with Low Bak by a Combination of an Antimesothelin Immunotoxin and a TRAIL Receptor 2 Agonist Antibody. Clinical Cancer Research. 17(18). 5926–5934. 19 indexed citations
20.
Poltorak, Alexander, Irina Smirnova, Christophe Van Huffel, et al.. (1999). Defective LPS signaling in C3 H/HeJ and C57 BL/10 ScCr mice: Mutations in Tlr4 Gene. Pneumologie. 53(9). 257 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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