Ming-Teh Chen

874 citations
21 papers · 699 indexed · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

Ming-Teh Chen

21 papers receiving 688 citations

Peers

Ming-Teh Chen
Comparison fields: 5 of 84
  • Cancer Research 296
  • Genetics 128
  • Molecular Biology 468
  • Oncology 138
  • Neurology 26
Replace Amir Barzegar Behrooz with:
Amir Barzegar Behrooz Iran
Zhitao Jing China
Meiqing Lou China
Young-Woo Sohn South Korea
Zhuanyi Yang China
Garnette Sutherland Canada
Xiaobo Yang China
Ewelina Stoczyńska-Fidelus Poland
Hsin‐I Ma Taiwan
Shruti Bhargava India
Ming-Teh Chen relative to Amir Barzegar Behrooz Iran Amir Barzegar Behrooz's profile →
Citations per field
00.5×10×20×30×40×45×
Amir Barzegar Behrooz · 1×
Citations per year

Countries citing papers authored by Ming-Teh Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Teh Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming-Teh Chen, 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 Ming-Teh Chen Line = papers co-authored together Ming-Teh Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011195
2 202055
3 201552
4 201648
5 201540
6 201735
7 201133
8 201432
9 201830
10 201427
11 201924
12 201821
13 201120
14 201118
15 201913
16 200912
17 201411
18 201310
19 20218
20 20148

About Ming-Teh Chen

Ming-Teh Chen is a scholar working on Cancer Research, Geriatrics and Gerontology, Neurology, Molecular Biology and Genetics, having authored 21 papers that have together received 699 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), RNA Research and Splicing (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Chromatin Remodeling and Cancer (3 papers), Neuroscience and Neural Engineering (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (296 citations), Genetics (128 citations), Molecular Biology (468 citations), Oncology (138 citations) and Neurology (26 citations). Ming-Teh Chen has collaborated with scholars based in Taiwan, Hong Kong and China. Frequent co-authors include Pin‐I Huang, Yi‐Wei Chen, Yi-Ping Yang, Mong‐Lien Wang, Yang‐Hsin Shih, Shih‐Hwa Chiou, Yueh Chien, Guang‐Yuh Chiou, Hsin-I Ma and Yuh-Lih Chang. Their work appears in journals such as Oncotarget, Cancers, International Journal of Molecular Sciences, Cell Transplantation and Biomaterials.

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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