Yun-Chen Chiang

1.0k total citations
9 papers, 690 citations indexed

About

Yun-Chen Chiang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yun-Chen Chiang has authored 9 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yun-Chen Chiang's work include Epigenetics and DNA Methylation (4 papers), Genomics and Chromatin Dynamics (4 papers) and Cancer-related gene regulation (3 papers). Yun-Chen Chiang is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Genomics and Chromatin Dynamics (4 papers) and Cancer-related gene regulation (3 papers). Yun-Chen Chiang collaborates with scholars based in United States, Taiwan and Germany. Yun-Chen Chiang's co-authors include W. Kimryn Rathmell, Chen Chang, Fu-Shan Jaw, Catherine C. Fahey, Bai‐Chuang Shyu, Ian J. Davis, Kathryn E. Hacker, Yen‐Yu Ian Shih, Benjamin G. Vincent and Frank M. Mason and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yun-Chen Chiang

8 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun-Chen Chiang United States 7 339 174 140 138 87 9 690
Jérôme Kroonen Belgium 13 371 1.1× 120 0.7× 131 0.9× 191 1.4× 79 0.9× 18 758
Martin P. Graham United States 11 330 1.0× 50 0.3× 219 1.6× 136 1.0× 60 0.7× 12 675
Maura Sonego Italy 14 600 1.8× 60 0.3× 303 2.2× 286 2.1× 99 1.1× 18 937
Piotr Przanowski United States 14 455 1.3× 389 2.2× 175 1.3× 210 1.5× 51 0.6× 24 951
Huakui Yu United States 5 232 0.7× 235 1.4× 399 2.9× 50 0.4× 66 0.8× 6 712
Lucile Canterel-Thouennon France 9 273 0.8× 39 0.2× 242 1.7× 141 1.0× 63 0.7× 10 537
Shuping Qu China 9 117 0.3× 63 0.4× 94 0.7× 95 0.7× 57 0.7× 18 468
Bianca Calì Italy 13 305 0.9× 294 1.7× 208 1.5× 171 1.2× 67 0.8× 15 759
Jeeho Kim South Korea 10 332 1.0× 98 0.6× 43 0.3× 50 0.4× 92 1.1× 20 793
Thomas B.K. Watkins United Kingdom 8 213 0.6× 31 0.2× 161 1.1× 270 2.0× 102 1.2× 12 542

Countries citing papers authored by Yun-Chen Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Yun-Chen Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun-Chen Chiang. 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 Yun-Chen Chiang. The network helps show where Yun-Chen Chiang may publish in the future.

Co-authorship network of co-authors of Yun-Chen Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yun-Chen Chiang. A scholar is included among the top collaborators of Yun-Chen Chiang 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 Yun-Chen Chiang. Yun-Chen Chiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Dronamraju, Raghuvar, Michael J. Emanuele, Deepak Kumar Jha, et al.. (2024). Set2 methyltransferase facilitates cell cycle progression by maintaining transcriptional fidelity. UNC Libraries.
2.
Siska, Peter J., Kathryn E. Beckermann, Frank M. Mason, et al.. (2017). Mitochondrial dysregulation and glycolytic insufficiency functionally impair CD8 T cells infiltrating human renal cell carcinoma. JCI Insight. 2(12). 274 indexed citations
3.
Rojas, Juan D., Fanglue Lin, Yun-Chen Chiang, et al.. (2017). Ultrasound Molecular Imaging of VEGFR-2 in Clear-Cell Renal Cell Carcinoma Tracks Disease Response to Antiangiogenic and Notch-Inhibition Therapy. Theranostics. 8(1). 141–155. 34 indexed citations
4.
Dronamraju, Raghuvar, Deepak Kumar Jha, Umut Eser, et al.. (2017). Set2 methyltransferase facilitates cell cycle progression by maintaining transcriptional fidelity. Nucleic Acids Research. 46(3). 1331–1344. 20 indexed citations
5.
Hacker, Kathryn E., Catherine C. Fahey, Stephen A. Shinsky, et al.. (2016). Structure/Function Analysis of Recurrent Mutations in SETD2 Protein Reveals a Critical and Conserved Role for a SET Domain Residue in Maintaining Protein Stability and Histone H3 Lys-36 Trimethylation. Journal of Biological Chemistry. 291(40). 21283–21295. 54 indexed citations
6.
Park, In Young, Reid T. Powell, Durga Nand Tripathi, et al.. (2016). Dual Chromatin and Cytoskeletal Remodeling by SETD2. Cell. 166(4). 950–962. 183 indexed citations
7.
Shih, Yen‐Yu Ian, Yun-Chen Chiang, Bai‐Chuang Shyu, et al.. (2012). Endogenous opioid–dopamine neurotransmission underlie negative CBV fMRI signals. Experimental Neurology. 234(2). 382–388. 25 indexed citations
8.
Shih, Yen‐Yu Ian, Bai‐Chuang Shyu, Yun-Chen Chiang, et al.. (2009). A New Scenario for Negative Functional Magnetic Resonance Imaging Signals: Endogenous Neurotransmission. Journal of Neuroscience. 29(10). 3036–3044. 99 indexed citations
9.
Shih, Yen‐Yu Ian, et al.. (2008). ANTINOCICEPTIVE EFFECT OF MORPHINE IN α-CHLORALOSE AND ISOFLURANE ANESTHETIZED RATS USING BOLD fMRI. Biomedical Engineering Applications Basis and Communications. 20(1). 39–46. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jérôme Kroonen Breakdown of academic impact, for papers by Martin P. Graham Breakdown of academic impact, for papers by Maura Sonego Breakdown of academic impact, for papers by Piotr Przanowski Breakdown of academic impact, for papers by Huakui Yu Breakdown of academic impact, for papers by Lucile Canterel-Thouennon Breakdown of academic impact, for papers by Shuping Qu Breakdown of academic impact, for papers by Bianca Calì Breakdown of academic impact, for papers by Jeeho Kim Breakdown of academic impact, for papers by Thomas B.K. Watkins
Rankless by CCL
2026