Cheng-Ming Chiang

766 total citations
9 papers, 639 citations indexed

About

Cheng-Ming Chiang is a scholar working on Molecular Biology, Oncology and Geriatrics and Gerontology. According to data from OpenAlex, Cheng-Ming Chiang has authored 9 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Geriatrics and Gerontology. Recurrent topics in Cheng-Ming Chiang's work include RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Cheng-Ming Chiang is often cited by papers focused on RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Cheng-Ming Chiang collaborates with scholars based in United States. Cheng-Ming Chiang's co-authors include Robert G. Roeder, Bhaskar Ponugoti, Sungsoon Fang, Jongsook Kim Kemper, Zhen Xiao, Ji Miao, Stephanie Jean Tsang, Timothy D. Veenstra, Tianyuan Zhou and Richard W. Hanson and has published in prestigious journals such as Journal of Biological Chemistry, Cell Metabolism and PubMed.

In The Last Decade

Cheng-Ming Chiang

9 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cheng-Ming Chiang United States	8	381	145	133	131	112	9	639
Yongheng Cao Japan	8	431 1.1×	100 0.7×	89 0.7×	208 1.6×	38 0.3×	8	612
Agnieszka A. Kendrick United States	10	433 1.1×	175 1.2×	71 0.5×	244 1.9×	196 1.8×	15	842
Cixiong Zhang China	12	627 1.6×	334 2.3×	76 0.6×	95 0.7×	49 0.4×	14	933
Louise A. Rafty Australia	9	301 0.8×	48 0.3×	98 0.7×	49 0.4×	93 0.8×	10	504
Young-Sil Yoon South Korea	16	507 1.3×	214 1.5×	51 0.4×	149 1.1×	20 0.2×	21	831
Jin-Sik Bae South Korea	14	234 0.6×	101 0.7×	43 0.3×	133 1.0×	20 0.2×	28	577
Konstantina Georgila Greece	8	291 0.8×	107 0.7×	64 0.5×	96 0.7×	14 0.1×	11	572
Madlen Matz‐Soja Germany	15	300 0.8×	203 1.4×	53 0.4×	99 0.8×	14 0.1×	42	592
Janin Hofmann Switzerland	9	147 0.4×	92 0.6×	50 0.4×	81 0.6×	92 0.8×	11	552
Luisa García-Haro Spain	7	335 0.9×	142 1.0×	37 0.3×	85 0.6×	14 0.1×	8	539

Countries citing papers authored by Cheng-Ming Chiang

Since Specialization

Citations

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

Fields of papers citing papers by Cheng-Ming Chiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng-Ming Chiang

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

All Works

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9 of 9 papers shown

Zhou, Guangjin, Yifei Liu, Feng Tie, et al.. (2010). Purification of a novel RECQL5-SWI/SNF-RNAPII super complex.. PubMed. 1(1). 101–111. 7 indexed citations

Kemper, Jongsook Kim, Zhen Xiao, Bhaskar Ponugoti, et al.. (2009). FXR Acetylation Is Normally Dynamically Regulated by p300 and SIRT1 but Constitutively Elevated in Metabolic Disease States. Cell Metabolism. 10(5). 392–404. 270 indexed citations

Yang, Jianqi, Xiaoying Kong, Gabriela Alemán, et al.. (2009). Activation of SIRT1 by Resveratrol Represses Transcription of the Gene for the Cytosolic Form of Phosphoenolpyruvate Carboxykinase (GTP) by Deacetylating Hepatic Nuclear Factor 4α. Journal of Biological Chemistry. 284(40). 27042–27053. 60 indexed citations

Chakravarty, Kaushik, et al.. (2004). SREBP-1c and Sp1 Interact to Regulate Transcription of the Gene for Phosphoenolpyruvate Carboxykinase (GTP) in the Liver. Journal of Biological Chemistry. 279(15). 15385–15395. 54 indexed citations

Denko, Nicholas, Kara Wernke-Dollries, Amber Johnson, et al.. (2003). Hypoxia Actively Represses Transcription by Inducing Negative Cofactor 2 (Dr1/DrAP1) and Blocking Preinitiation Complex Assembly. Journal of Biological Chemistry. 278(8). 5744–5749. 41 indexed citations

Chiang, Cheng-Ming, et al.. (2002). Transcriptional Activity among High and Low Risk Human Papillomavirus E2 Proteins Correlates with E2 DNA Binding. Journal of Biological Chemistry. 277(47). 45619–45629. 39 indexed citations

Zhou, Tianyuan & Cheng-Ming Chiang. (2001). The Intronless and TATA-less HumanTAF 55 Gene Contains a Functional Initiator and a Downstream Promoter Element. Journal of Biological Chemistry. 276(27). 25503–25511. 47 indexed citations

Chiang, Cheng-Ming, et al.. (2001). TATA-binding Protein-associated Factors Enhance the Recruitment of RNA Polymerase II by Transcriptional Activators. Journal of Biological Chemistry. 276(36). 34235–34243. 41 indexed citations

Chiang, Cheng-Ming & Robert G. Roeder. (1993). Expression and purification of general transcription factors by FLAG epitope-tagging and peptide elution.. PubMed. 6(2). 62–4. 80 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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