Chen-Ting Ma

910 citations
23 papers · 678 · h-index 16

Impact in

    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Protein Structure and Dynamics
    • Ubiquitin and proteasome pathways
    • Genomics and Chromatin Dynamics
    • Nuclear Structure and Function
    • Cancer-related gene regulation

Papers in

    • RNA Research and Splicing 11
    • RNA and protein synthesis mechanisms 10
    • RNA modifications and cancer 4
    • Ubiquitin and proteasome pathways 3
    • Protein Structure and Dynamics 2
    • Genomics and Chromatin Dynamics 2

Chen-Ting Ma

23 papers receiving 670 citations

Peers

Chen-Ting Ma
Comparison fields: 5 of 67
  • Molecular Biology 579
  • Geriatrics and Gerontology 17
  • Physiology 20
  • Cell Biology 63
  • Cancer Research 31
Replace Brian M. Weist with:
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Chen-Ting Ma relative to Brian M. Weist United States Brian M. Weist's profile →
Citations per field
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Brian M. Weist · 1×
Citations per year

Countries citing papers authored by Chen-Ting Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chen-Ting Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chen-Ting Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chen-Ting Ma Line = papers co-authored together Chen-Ting Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200896
2 200579
3 201370
4 200843
5 200743
6 201437
7 201635
8 201732
9 201032
10 200430
11 200929
12 202228
13 201625
14 201119
15 201919
16 202115
17 200915
18 201914
19 20135
20 20155

About Chen-Ting Ma

Chen-Ting Ma is a scholar working on Molecular Biology, Nephrology, Oncology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 678 indexed citations. Recurring topics across this work include RNA Research and Splicing (11 papers), RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (4 papers), Ubiquitin and proteasome pathways (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Protein Structure and Dynamics (2 papers), Cell Adhesion Molecules Research (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Molecular Biology (579 citations), Geriatrics and Gerontology (17 citations), Physiology (20 citations), Cell Biology (63 citations) and Cancer Research (31 citations). Chen-Ting Ma has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Joseph A. Adams, Xiang‐Dong Fu, Jonathan C. Hagopian, Gourisankar Ghosh, Eduard Sergienko, Jacky Chi Ki Ngo, Brandon E. Aubol, Patricia A. Jennings, Sutapa Chakrabarti and Pieter C. Dorrestein. Their work appears in journals such as Journal of Molecular Biology, Bioorganic & Medicinal Chemistry Letters, ACS Chemical Biology, Biochemistry and The FASEB Journal.

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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