Sidney W. Fu

2.4k total citations · 1 hit paper
63 papers, 1.8k citations indexed

About

Sidney W. Fu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Sidney W. Fu has authored 63 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 16 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Sidney W. Fu's work include MicroRNA in disease regulation (13 papers), Circular RNAs in diseases (10 papers) and Cancer-related molecular mechanisms research (8 papers). Sidney W. Fu is often cited by papers focused on MicroRNA in disease regulation (13 papers), Circular RNAs in diseases (10 papers) and Cancer-related molecular mechanisms research (8 papers). Sidney W. Fu collaborates with scholars based in United States, China and Ethiopia. Sidney W. Fu's co-authors include Liang Chen, Yebo Fu, Yan‐Gao Man, Xiaohui Tan, Timothy A. McCaffrey, Rachel F. Brem, Fatah Kashanchi, Wendy Wang, Christine Teal and Charles J. Macri and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Sidney W. Fu

62 papers receiving 1.8k citations

Hit Papers

The synergistic effect of the triglyceride-glucose index ... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sidney W. Fu United States 24 1.1k 745 335 206 142 63 1.8k
A.E. Greijer Netherlands 8 626 0.6× 589 0.8× 209 0.6× 108 0.5× 144 1.0× 10 1.2k
Yan Teng China 25 1.3k 1.1× 506 0.7× 354 1.1× 146 0.7× 269 1.9× 71 1.9k
Tao Du China 21 965 0.9× 510 0.7× 89 0.3× 232 1.1× 224 1.6× 39 1.5k
Daniela Coltrini Italy 28 1.3k 1.1× 290 0.4× 270 0.8× 104 0.5× 681 4.8× 52 2.2k
Frank Griscelli France 21 969 0.9× 438 0.6× 361 1.1× 108 0.5× 121 0.9× 73 1.6k
Dorothee Wernicke United States 11 2.0k 1.8× 1.7k 2.3× 239 0.7× 85 0.4× 463 3.3× 12 2.7k
Wikky Tigchelaar Netherlands 21 446 0.4× 345 0.5× 190 0.6× 221 1.1× 220 1.5× 26 1.3k
Midori Nakamura Japan 21 1.2k 1.1× 211 0.3× 740 2.2× 113 0.5× 329 2.3× 57 1.9k
Jennifer H. Cox Canada 21 625 0.6× 422 0.6× 715 2.1× 108 0.5× 816 5.7× 29 2.0k

Countries citing papers authored by Sidney W. Fu

Since Specialization
Citations

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

Fields of papers citing papers by Sidney W. Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sidney W. Fu. 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 Sidney W. Fu. The network helps show where Sidney W. Fu may publish in the future.

Co-authorship network of co-authors of Sidney W. Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Sidney W. Fu. A scholar is included among the top collaborators of Sidney W. Fu 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 Sidney W. Fu. Sidney W. Fu 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.
Fu, Sidney W., et al.. (2025). Mechanisms of kaempferol treatment for oral submucosal fibrosis: A network pharmacology and molecular docking study. Chinese Journal of Analytical Chemistry. 54(1). 100618–100618.
2.
Chen, Wei, et al.. (2020). Estrogen Receptor, Progesterone Receptor, and HER2 Receptor Markers in Endometrial Cancer. Journal of Cancer. 11(7). 1693–1701. 37 indexed citations
3.
Fu, Sidney W., Woojin Lee, Xiaoling Wu, et al.. (2016). miRNAs as potential biomarkers in early breast cancer detection following mammography. Cell & Bioscience. 6(1). 6–6. 21 indexed citations
4.
Wu, Xiaoling, Xiaohui Tan, & Sidney W. Fu. (2015). May Circulating microRNAs be Gastric Cancer Diagnostic Biomarkers?. Journal of Cancer. 6(12). 1206–1213. 11 indexed citations
5.
Song, Guohong, Ciaran Mannion, Alexander Stojadinovic, et al.. (2014). Differential impact of tumor-infiltrating immune cells on basal and luminal cells: implications for tumor invasion and metastasis.. PubMed. 34(11). 6363–80. 12 indexed citations
6.
Chen, Liang, Shejuan An, Xiaohui Tan, et al.. (2014). MicroRNA-21 Down-regulates Rb1 Expression by Targeting PDCD4 in Retinoblastoma. Journal of Cancer. 5(9). 804–812. 29 indexed citations
7.
McCaffrey, Timothy A., Jannet F. Lewis, Richard J. Katz, et al.. (2013). Genomic Profiling Reveals the Potential Role of TCL1A and MDR1 Deficiency in Chemotherapy-Induced Cardiotoxicity. International Journal of Biological Sciences. 9(4). 350–360. 24 indexed citations
8.
Chen, Liang, Yebo Fu, Michael Stamatakos, et al.. (2013). Role of Deregulated microRNAs in Breast Cancer Progression Using FFPE Tissue. PLoS ONE. 8(1). e54213–e54213. 94 indexed citations
9.
Fu, Sidney W., et al.. (2011). Aberrant expression of chromogranin A, miR-146a, and miR-146b-5p in prostate structures with focally disrupted basal cell layers: an early sign of invasion and hormone-refractory cancer?. PubMed. 8(5). 235–44. 24 indexed citations
10.
Reyes‐Gordillo, Karina, et al.. (2011). Thymosin-β4 (Tβ4) Blunts PDGF-Dependent Phosphorylation and Binding of AKT to Actin in Hepatic Stellate Cells. American Journal Of Pathology. 178(5). 2100–2108. 42 indexed citations
11.
Fu, Sidney W., Liang Chen, & Yan‐Gao Man. (2011). miRNA Biomarkers in Breast Cancer Detection and Management. Journal of Cancer. 2. 116–122. 98 indexed citations
12.
Edwards, Claire M., et al.. (2010). Downregulation of leptin and resistin expression in blood following bariatric surgery. Surgical Endoscopy. 25(6). 1962–1968. 41 indexed citations
13.
Poola, Indira, Jessy Abraham, Josephine J. Marshalleck, et al.. (2009). Molecular constitution of breast but not other reproductive tissues is rich in growth promoting molecules: A possible link to highest incidence of tumor growths. FEBS Letters. 583(18). 3069–3075. 5 indexed citations
14.
Klase, Zachary, Rafael Winograd, Lawrence Carpio, et al.. (2009). HIV-1 TAR miRNA protects against apoptosis by altering cellular gene expression. Retrovirology. 6(1). 18–18. 131 indexed citations
15.
Edwards, Claire M., et al.. (2009). Adiponectin but not leptin is involved in early hepatic disease in morbidly obese patients. Surgical Endoscopy. 24(7). 1547–1551. 6 indexed citations
16.
Edwards, Claire M., et al.. (2009). Reactivation of adiponectin expression in obese patients after bariatric surgery. Surgical Endoscopy. 24(6). 1367–1373. 16 indexed citations
17.
Brody, Fred, et al.. (2008). TCF7L2 expression in diabetic patients undergoing bariatric surgery. Surgical Endoscopy. 23(4). 700–704. 10 indexed citations
18.
Do, Khanh, Holly Stevenson, Sidney W. Fu, et al.. (2007). Overexpression of BP1, a homeobox gene, is associated with resistance to all-trans retinoic acid in acute promyelocytic leukemia cells. Annals of Hematology. 87(3). 195–203. 14 indexed citations
19.
Berro, Reem, María Elena Bottazzi, Zachary Klase, et al.. (2007). Functional consequences of cyclin D1/BRCA1 interaction in breast cancer cells. Oncogene. 26(35). 5060–5069. 38 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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