Mei‐Chih Chen

617 citations
36 papers · 444 · h-index 10

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • Cell death mechanisms and regulation 3
    • Retinoids in leukemia and cellular processes 2
    • Cancer-related Molecular Pathways 6
    • Cancer Immunotherapy and Biomarkers 2

Mei‐Chih Chen

36 papers receiving 438 citations

Peers

Mei‐Chih Chen
Comparison fields: 5 of 102
  • Oncology 124
  • Clinical Biochemistry 30
  • Water Science and Technology 51
  • Industrial and Manufacturing Engineering 28
  • Immunology 64
Replace Pengcheng Wang with:
Pengcheng Wang China
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Jianli Gong United States
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Mei‐Chih Chen relative to Pengcheng Wang China Pengcheng Wang's profile →
Citations per field
00.5×2.9×
Pengcheng Wang · 1×
Citations per year

Countries citing papers authored by Mei‐Chih Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Chih Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Chih 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 Mei‐Chih Chen. The network helps show where Mei‐Chih Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200177
2 199954
3 202053
4 202339
5 201929
6 202116
7 202414
8 202513
9 202412
10 201910
11 20249
12 20239
13 20159
14 20149
15 20079
16 20228
17 20218
18 20248
19 20247
20 20237

About Mei‐Chih Chen

Mei‐Chih Chen is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Immunology and Cancer Research, having authored 36 papers that have together received 444 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Metabolism, Diabetes, and Cancer (3 papers), Cell death mechanisms and regulation (3 papers), Retinoids in leukemia and cellular processes (2 papers), Fungal Biology and Applications (2 papers), Cancer, Lipids, and Metabolism (2 papers), Advanced Glycation End Products research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Oncology (124 citations), Clinical Biochemistry (30 citations), Water Science and Technology (51 citations), Industrial and Manufacturing Engineering (28 citations) and Immunology (64 citations). Mei‐Chih Chen has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Ho Lin, Guang‐Yuh Hwang, Ya-Hui Chou, Sui‐Chu Yin, Chieh‐Lin Jerry Teng, Tsung‐Ying Yang, Der‐Yang Cho, Chun‐Chi Wu, Gee‐Chen Chang and Shih‐Lan Hsu. Their work appears in journals such as Journal of Cellular Biochemistry, Advanced Science, Cell Death and Disease, Journal of Nanobiotechnology and Anticancer Research.

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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