Ming‐Chung Jiang

1.1k citations
18 papers · 949 · h-index 14

Impact in

Papers in

    • Cell death mechanisms and regulation 2
    • RNA and protein synthesis mechanisms 2
    • Cancer-related Molecular Pathways 4
    • Peptidase Inhibition and Analysis 2
    • Cytokine Signaling Pathways and Interactions 2

Ming‐Chung Jiang

18 papers receiving 906 citations

Peers

Ming‐Chung Jiang
Comparison fields: 5 of 81
  • Molecular Medicine 166
  • Oncology 242
  • Cancer Research 131
  • Molecular Biology 586
  • Toxicology 25
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Alex Starr Israel
Ramachandran Rashmi United States
Aruna S. Jaiswal United States
Shilpa Kuttikrishnan Qatar
Suchismita Mohanty India
Theoni Trangas Greece
Demin Jiao China
Preethi Ravindranathan United States
Diptendra Kumar Sarkar India
Munju Cho South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Ming‐Chung Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chung Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Chung Jiang. 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‐Chung Jiang. The network helps show where Ming‐Chung Jiang may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1995244
2 1996231
3 200184
4 200050
5 201044
6 199642
7 200842
8 201035
9 201635
10 200833
11 201523
12 200823
13 200219
14 199918
15 200111
16 201010
17 20193
18 20052

About Ming‐Chung Jiang

Ming‐Chung Jiang is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Cancer Research, having authored 18 papers that have together received 949 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Inflammatory mediators and NSAID effects (2 papers), Microtubule and mitosis dynamics (2 papers), Cell death mechanisms and regulation (2 papers), RNA and protein synthesis mechanisms (2 papers), Estrogen and related hormone effects (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Molecular Medicine (166 citations), Oncology (242 citations), Cancer Research (131 citations), Molecular Biology (586 citations) and Toxicology (25 citations). Ming‐Chung Jiang has collaborated with scholars based in Taiwan, China and Pakistan. Frequent co-authors include J. J. Yen, Hsin‐Fang Yang‐Yen, Jen‐Kun Lin, Ching-Fong Liao, S Y Ng, Jyh-Rong Chao, Po‐Huang Lee, Yen‐Chou Chen, Su-Ming Hsu and Shue‐Fen Luo. Their work appears in journals such as Biochemical and Biophysical Research Communications, BMB Reports, Journal of Experimental & Clinical Cancer Research, Tumor Biology and Journal of Molecular Histology.

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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