Chien‐Wen Chen
- Molecular Biology top 5%
- Genetics top 0.5%
- Surgery top 2%
- Epidemiology top 5%
- Biomaterials top 2%
- Co-authors
- Bruno PéaultMirko CorselliMihaela CrisanJohnny HuardYadong WangLorenza LazzariSara ImarisioDavid C. Rubinsztein
- Topics
- Tissue Engineering and Regenerative Medicine (30 papers)Mesenchymal stem cell research (28 papers)Digital Marketing and Social Media (16 papers)
- Cited by
- GeneticsBiomaterialsNeurology
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Chien‐Wen Chen
190 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Molecular Biology 2.1k
- Genetics 1.3k
- Surgery 1.3k
- Epidemiology 730
- Biomaterials 597
Countries citing papers authored by Chien‐Wen Chen
This map shows the geographic impact of Chien‐Wen 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 Chien‐Wen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Wen Chen more than expected).
Fields of papers citing papers by Chien‐Wen Chen
This network shows the impact of papers produced by Chien‐Wen 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 Chien‐Wen Chen. The network helps show where Chien‐Wen Chen may publish in the future.
Co-authorship network of co-authors of Chien‐Wen Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Wen Chen. A scholar is included among the top collaborators of Chien‐Wen Chen 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 Chien‐Wen Chen. Chien‐Wen Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 20 | |
| 10 | 21 | |
| 11 | 4 | |
| 12 | The Effect of Technological and Psychological Factors on Users' Intentions to Continually Read e-Books | 4 |
| 13 | 0 | |
| 14 | USING AHP FOR DETERMINING PRIORITY IN SEAMLESS STRATEGY: A CASE STUDY OF THE CLICK-AND-MORTAR BOOKSTORE | 2 |
| 15 | 1 | |
| 16 | 4 | |
| 17 | The Anti-fibrotic and Anti-inflammatory Potentials of Purified Human Muscle-derived Perivascular Cells for the Treatment of Myocardial Infarction | 1 |
| 18 | 2 | |
| 19 | A New Approach to Constraining Quintessence Models by Observations | 1 |
| 20 | 2 |
About Chien‐Wen Chen
Chien‐Wen Chen is a scholar working on Genetics, Information Systems and Management and Biomaterials, having authored 201 papers that have together received 6.2k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (30 papers), Mesenchymal stem cell research (28 papers) and Digital Marketing and Social Media (16 papers). The work is most often cited by research in Genetics (1.3k citations), Biomaterials (597 citations) and Neurology (584 citations). Chien‐Wen Chen has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Bruno Péault, Mirko Corselli, Mihaela Crisan, Johnny Huard, Yadong Wang, Lorenza Lazzari, Sara Imarisio, David C. Rubinsztein, Arman Saparov and Hunghao Chu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.
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.