Chia‐Rui Shen
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Biotechnology top 5%
- Enzyme Production and Characterization
Papers in
- Immunology 22
- T-cell and B-cell Immunology 11
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 7
- Hematology 10
- Blood groups and transfusion 9
- Co-authors
- Chao‐Lin LiuTzu‐Chen YenJiun‐Jie WangMei‐Fen ShihChia‐Ning ShenMing‐Ling KuoZei‐Tsan TsaiYih-Shiou Hwang
- Journals
- Molecules (4 papers)PLoS ONE (4 papers)Marine Drugs (3 papers)Polymers (3 papers)Human Gene Therapy (3 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Chia‐Rui Shen
83 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 129
- Immunology 424
- Biotechnology 172
- Biomaterials 246
- Pharmaceutical Science 74
- Drug Discovery 2
Countries citing papers authored by Chia‐Rui Shen
This map shows the geographic impact of Chia‐Rui Shen'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 Chia‐Rui Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Rui Shen more than expected).
Fields of papers citing papers by Chia‐Rui Shen
This network shows the impact of papers produced by Chia‐Rui Shen. 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 Chia‐Rui Shen. The network helps show where Chia‐Rui Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chia‐Rui Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 9 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 11 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2018 | 18 | |
| 11 | 2016 | 10 | |
| 12 | 2014 | 3 | |
| 13 | 2013 | 33 | |
| 14 | 2013 | 103 | |
| 15 | 2012 | 16 | |
| 16 | 2010 | 17 | |
| 17 | 2010 | 10 | |
| 18 | 2010 | 45 | |
| 19 | 2009 | 42 | |
| 20 | 2007 | 22 |
About Chia‐Rui Shen
Chia‐Rui Shen is a scholar working on Immunology, Hematology, Leadership and Management, Pharmaceutical Science and Biomaterials, having authored 84 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), T-cell and B-cell Immunology (11 papers), Erythrocyte Function and Pathophysiology (10 papers), Studies on Chitinases and Chitosanases (9 papers), Blood groups and transfusion (9 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (7 papers) and Diabetes and associated disorders (6 papers). The work is most often cited by research in Immunology (424 citations), Biotechnology (172 citations), Biomaterials (246 citations), Pharmaceutical Science (74 citations) and Drug Discovery (2 citations). Chia‐Rui Shen has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chao‐Lin Liu, Tzu‐Chen Yen, Jiun‐Jie Wang, Mei‐Fen Shih, Chia‐Ning Shen, Ming‐Ling Kuo, Zei‐Tsan Tsai, Yih-Shiou Hwang, Ging‐Ho Hsiue and Jong‐Yuh Cherng. Their work appears in journals such as Molecules, PLoS ONE, Marine Drugs, Polymers and Human Gene Therapy.
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.