Ming‐Hsien Chien

5.9k total citations
142 papers, 4.5k citations indexed

About

Ming‐Hsien Chien is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ming‐Hsien Chien has authored 142 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 45 papers in Cancer Research and 40 papers in Oncology. Recurrent topics in Ming‐Hsien Chien's work include Peptidase Inhibition and Analysis (16 papers), Protease and Inhibitor Mechanisms (13 papers) and Cancer-related molecular mechanisms research (13 papers). Ming‐Hsien Chien is often cited by papers focused on Peptidase Inhibition and Analysis (16 papers), Protease and Inhibitor Mechanisms (13 papers) and Cancer-related molecular mechanisms research (13 papers). Ming‐Hsien Chien collaborates with scholars based in Taiwan, United States and Germany. Ming‐Hsien Chien's co-authors include Shun‐Fa Yang, Michael Hsiao, Wei-Jiunn Lee, Chiao‐Wen Lin, Kuo‐Tai Hua, Jer‐Hwa Chang, Wei‐Jiunn Lee, Lin‐Hung Wei, Yu‐Ching Wen and Yi-Chieh Yang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Ming‐Hsien Chien

139 papers receiving 4.5k citations

Peers

Ming‐Hsien Chien
Comparison fields: 5 of 126
  • Molecular Biology 2.9k
  • Cancer Research 1.3k
  • Oncology 874
  • Immunology 503
  • Pulmonary and Respiratory Medicine 389
Replace Chiao‐Wen Lin with:
Chiao‐Wen Lin Taiwan
You Mie Lee South Korea
Di Chen China
Aree Moon South Korea
Yangfu Jiang China
Kangdong Liu China
Ye Yang China
Borhane Annabi Canada
Gang Song China
Yi‐Hsien Hsieh Taiwan
Chiao‐Wen Lin Taiwan View profile →
Citations per field, relative to Ming‐Hsien Chien
Ming‐Hsien Chien · 1×
Citations per year, relative to Ming‐Hsien Chien
Ming‐Hsien Chien · 1×

Countries citing papers authored by Ming‐Hsien Chien

Since Specialization
Citations

This map shows the geographic impact of Ming‐Hsien 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‐Hsien 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‐Hsien Chien more than expected).

Fields of papers citing papers by Ming‐Hsien Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 4
4 0
5 6
6 7
7 10
8 5
9 21
10 18
11 128
12 18
13 41
14 24
15 19
16 51
17 30
18 17
19 297
20 31

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026