Shi-Wen Jiang

2.1k total citations
30 papers, 1.5k citations indexed

About

Shi-Wen Jiang is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Shi-Wen Jiang has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Immunology. Recurrent topics in Shi-Wen Jiang's work include Epigenetics and DNA Methylation (14 papers), Cancer-related gene regulation (8 papers) and RNA modifications and cancer (7 papers). Shi-Wen Jiang is often cited by papers focused on Epigenetics and DNA Methylation (14 papers), Cancer-related gene regulation (8 papers) and RNA modifications and cancer (7 papers). Shi-Wen Jiang collaborates with scholars based in United States, China and India. Shi-Wen Jiang's co-authors include Sean C. Dowdy, Norman L. Eberhardt, Karl C. Podratz, Jin‐Ping Li, Brahma N. Singh, Yi L. Hwa, Fan Jin, Guanghua Zhang, Yuning Xiong and Shujuan Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Shi-Wen Jiang

29 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi-Wen Jiang United States 21 1.0k 231 207 194 179 30 1.5k
Hiroaki Kobayashi Japan 18 741 0.7× 157 0.7× 289 1.4× 116 0.6× 379 2.1× 28 1.4k
Holger Hess‐Stumpp Germany 18 973 0.9× 430 1.9× 180 0.9× 136 0.7× 307 1.7× 34 1.5k
Andreas Doll Spain 20 714 0.7× 344 1.5× 93 0.4× 130 0.7× 296 1.7× 37 1.3k
Gary K. Yiu United States 13 990 1.0× 245 1.1× 282 1.4× 252 1.3× 379 2.1× 15 1.5k
Xiang‐Xi Xu United States 26 1.2k 1.2× 184 0.8× 216 1.0× 247 1.3× 200 1.1× 42 1.7k
Liat Drucker Israel 20 537 0.5× 203 0.9× 75 0.4× 119 0.6× 320 1.8× 71 1.1k
Yuji Yaginuma Japan 19 646 0.6× 208 0.9× 117 0.6× 122 0.6× 424 2.4× 51 1.2k
Gloria S. Huang United States 23 493 0.5× 183 0.8× 377 1.8× 181 0.9× 320 1.8× 68 1.5k
Jaideep Chaudhary United States 24 1.1k 1.0× 264 1.1× 294 1.4× 334 1.7× 228 1.3× 81 1.7k
Irmgard Irminger‐Finger Switzerland 27 1.3k 1.2× 348 1.5× 88 0.4× 456 2.4× 451 2.5× 54 1.9k

Countries citing papers authored by Shi-Wen Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shi-Wen Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi-Wen Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Shi-Wen Jiang. A scholar is included among the top collaborators of Shi-Wen Jiang 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 Shi-Wen Jiang. Shi-Wen Jiang 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.
Wang, Enfeng, Chun‐yang Zhang, Fengming Liu, et al.. (2014). The Role of Factor Inhibiting HIF (FIH-1) in Inhibiting HIF-1 Transcriptional Activity in Glioblastoma Multiforme. PLoS ONE. 9(1). e86102–e86102. 45 indexed citations
2.
Bosquet, Jesús González, Yongli Chu, Hai Chen, et al.. (2014). Development of an Intracellular, DNA Methyltransferase-Specific, and Gene-Specific Assay for Studying Dynamic DNA Methylation. Current Pharmaceutical Design. 20(11). 1664–1673. 1 indexed citations
3.
Shao, Guo, Ran Zhang, Shu Zhang, et al.. (2013). Splice variants DNMT3B4 and DNMT3B7 overexpression inhibit cell proliferation in 293A cell line. In Vitro Cellular & Developmental Biology - Animal. 49(5). 386–394. 8 indexed citations
4.
Ren, Juan, Brahma N. Singh, Qiang Huang, et al.. (2011). DNA hypermethylation as a chemotherapy target. Cellular Signalling. 23(7). 1082–1093. 79 indexed citations
5.
Singh, Brahma N., Hongyuan Zhou, Jin‐Ping Li, et al.. (2011). Preclinical Studies on Histone Deacetylase Inhibitors as Therapeutic Reagents for Endometrial and Ovarian Cancers. Future Oncology. 7(12). 1415–1428. 24 indexed citations
6.
Kalogera, Eleftheria, Nathalie Scholler, Amy L. Weaver, et al.. (2011). Correlation of serum HE4 with tumor size and myometrial invasion in endometrial cancer. Gynecologic Oncology. 124(2). 270–275. 71 indexed citations
7.
Singh, Brahma N., Guanghua Zhang, Yi L. Hwa, et al.. (2010). Nonhistone protein acetylation as cancer therapy targets. Expert Review of Anticancer Therapy. 10(6). 935–954. 229 indexed citations
8.
Li, Jinping, et al.. (2009). HE4 as a biomarker for ovarian and endometrial cancer management. Expert Review of Molecular Diagnostics. 9(6). 555–566. 127 indexed citations
9.
Jiang, Shujuan, Sean C. Dowdy, Xue Meng, et al.. (2007). Histone deacetylase inhibitors induce apoptosis in both Type I and Type II endometrial cancer cells. Gynecologic Oncology. 105(2). 493–500. 30 indexed citations
10.
Xiong, Yuning, Sean C. Dowdy, Norman L. Eberhardt, Karl C. Podratz, & Shi-Wen Jiang. (2006). hMLH1 promoter methylation and silencing in primary endometrial cancers are associated with specific alterations in MBDs occupancy and histone modifications. Gynecologic Oncology. 103(1). 321–328. 15 indexed citations
11.
Dowdy, Sean C., Jesús González Bosquet, Ying Zhao, et al.. (2005). Epigenetic-mediated upregulation of progesterone receptor B gene in endometrial cancer cell lines. Gynecologic Oncology. 99(1). 135–141. 53 indexed citations
12.
Dowdy, Sean C., Bobbie S. Gostout, Viji Shridhar, et al.. (2005). Biallelic methylation and silencing of paternally expressed gene 3 (PEG3) in gynecologic cancer cell lines. Gynecologic Oncology. 99(1). 126–134. 66 indexed citations
13.
Jin, Fan, Sean C. Dowdy, Yuning Xiong, et al.. (2004). Up-regulation of DNA methyltransferase 3B expression in endometrial cancers. Gynecologic Oncology. 96(2). 531–538. 57 indexed citations
14.
Dowdy, Sean C., et al.. (2004). Opposite alterations of DNA methyltransferase gene expression in endometrioid and serous endometrial cancers. Gynecologic Oncology. 96(3). 601–609. 51 indexed citations
15.
Jiang, Shi-Wen, et al.. (2003). Clustering of the B Cell Receptor Is Not Required for the Apoptotic Response. DNA and Cell Biology. 22(8). 513–523. 7 indexed citations
16.
Jiang, Shi-Wen, Thomas B. Crotty, Masato Tsutsui, et al.. (1997). Effects of in vivo adventitial expression of recombinant endothelial nitric oxide synthase gene in cerebral arteries. Proceedings of the National Academy of Sciences. 94(23). 12568–12573. 78 indexed citations
17.
Jiang, Shi-Wen & Norman L. Eberhardt. (1996). TEF-1 Transrepression in BeWo Cells Is Mediated through Interactions with the TATA-binding Protein, TBP. Journal of Biological Chemistry. 271(16). 9510–9518. 34 indexed citations
18.
Eberhardt, Norman L., et al.. (1996). Hormonal and Cell-specific Regulation of the Human Growth Hormone and Chorionic Somatomammotropin Genes. Progress in nucleic acid research and molecular biology. 54. 127–163. 14 indexed citations
19.
Jiang, Shi-Wen & Norman L. Eberhardt. (1995). A micro-scale method to isolate DNA-binding proteins suitable for quantitative comparison of expression levels from transfected cells. Nucleic Acids Research. 23(17). 3607–3608. 26 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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