Ming‐Wei Chien

447 citations
19 papers · 362 indexed · h-index 13
Topics
Diabetes and associated disorders (5 papers)Immune Response and Inflammation (5 papers)T-cell and B-cell Immunology (5 papers)
Partner nations
TaiwanJapanCzechia

In The Last Decade

Ming‐Wei Chien

19 papers receiving 358 citations

Peers

Ming‐Wei Chien
Comparison fields: 5 of 75
  • Molecular Biology 166
  • Immunology 134
  • Genetics 46
  • Ophthalmology 39
  • Endocrine and Autonomic Systems 34
Replace Ana Neves‐Costa with:
Ana Neves‐Costa Portugal
Sven Kronenberg Switzerland
Agatha Kokot Germany
Minori Tamai Japan
Zong-Mei Bian United States
Leah Quintana United States
Rhett Cummings United States
Michala Prause Denmark
Yi‐Ting Chuang Taiwan
Goran Bošković United States
Ming‐Wei Chien relative to Ana Neves‐Costa Portugal Ana Neves‐Costa's profile →
Citations per field
00.5×4.3×
Ana Neves‐Costa · 1×
Citations per year

Countries citing papers authored by Ming‐Wei Chien

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Wei Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Wei Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Wei Chien. A scholar is included among the top collaborators of Ming‐Wei Chien 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 Ming‐Wei Chien. Ming‐Wei Chien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 7
3 10
4 16
5 19
6 13
7 20
8 19
9 9
10 35
11 17
12 12
13
Glucosamine inhibits epidermal growth factor-induced proliferation and cell-cycle progression in retinal pigment epithelial cells.
24
14 44
15 30
16 6
17 18
18 32
19 29

About Ming‐Wei Chien

Ming‐Wei Chien is a scholar working on Immunology, Immunology and Allergy and Biological Psychiatry, having authored 19 papers that have together received 362 indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Immune Response and Inflammation (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Immunology (134 citations), Endocrine and Autonomic Systems (34 citations) and Ophthalmology (39 citations). Ming‐Wei Chien has collaborated with scholars based in Taiwan, Japan and Czechia. Frequent co-authors include Huey‐Kang Sytwu, Shin‐Huei Fu, Yuwen Liu, Deh‐Ming Chang, Yun‐Hsiang Chang, Jiann‐Torng Chen, Shing‐Hwa Huang, Yi‐Hao Chen, Jiann‐Torng Chen and Da‐Wen Lu. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Diabetes.

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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