Cheng-Ming Chiang

766 citations
9 papers · 639 indexed · h-index 8
Topics
RNA Research and Splicing (3 papers)RNA modifications and cancer (2 papers)Drug Transport and Resistance Mechanisms (2 papers)
Partner nations
United States

In The Last Decade

Cheng-Ming Chiang

9 papers receiving 625 citations

Peers

Cheng-Ming Chiang
Comparison fields: 5 of 74
  • Molecular Biology 381
  • Epidemiology 145
  • Oncology 133
  • Physiology 131
  • Geriatrics and Gerontology 112
Replace Agnieszka A. Kendrick with:
Agnieszka A. Kendrick United States
Janin Hofmann Switzerland
Cixiong Zhang China
Louise A. Rafty Australia
Young-Sil Yoon South Korea
Chang Hoon Ji South Korea
Haeli Park United States
Jin-Sik Bae South Korea
Xiaoqin Wu China
Poonam Bheda Germany
Cheng-Ming Chiang relative to Agnieszka A. Kendrick United States Agnieszka A. Kendrick's profile →
Citations per field
00.5×1.5×1.9×
Agnieszka A. Kendrick · 1×
Citations per year

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

9 of 9 papers shown
#WorkIndexed citations
1
Purification of a novel RECQL5-SWI/SNF-RNAPII super complex.
7
2 270
3 60
4 54
5 41
6 39
7 47
8 41
9
Expression and purification of general transcription factors by FLAG epitope-tagging and peptide elution.
80

About Cheng-Ming Chiang

Cheng-Ming Chiang is a scholar working on Geriatrics and Gerontology, Physiology and Oncology, having authored 9 papers that have together received 639 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Geriatrics and Gerontology (112 citations), Molecular Biology (381 citations) and Physiology (131 citations). Cheng-Ming Chiang has collaborated with scholars based in United States. Frequent co-authors include Robert G. Roeder, Timothy D. Veenstra, Sungsoon Fang, Bhaskar Ponugoti, Jongsook Kim Kemper, Ji Miao, Zhen Xiao, Stephanie Jean Tsang, Tianyuan Zhou and Richard W. Hanson. Their work appears in journals such as Journal of Biological Chemistry, Cell Metabolism and PubMed.

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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